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ngE8Ma9JyZjqb2zHNNbz6rDFhrUMVaosHKfgdh7ST4-25MnXHOZF44RsyljB8h1apqGmDN9-W9beKUpXCO8VgY7pchuarlNSrE0rWFLg50VnXC0FMQPmEAM1B9whKNccZYWCR7ME7phC4agysxw0ud281E3lbRUPyoJpo9A7NV7uhPMrWSORwPHsZcLSABcV9sLG1hTTDfPhB1sdc7CVj_tpP6dX1hAseWaCGjRK7BMnVGbH3cgfJ9t3RKJM3cSFa4u7PrHBa0jJ2wBwn5LLZApRxnVwwUKZjEOdhRCj51flSyJUPNF3_Op2NH__xiWck4kWYK5Y4akw09F9_OzfioJsEiTci2TFBxjdwr2c5qQlJojGJoW_AE7T06o37v9Nk6MLh2RyCMPbbdIYSYYeXZ30PyOAZmBIRhlhGBsAySbcQamHhbKzmt8RBVndDNaFYgiGYzdhihS5g6rsAF3ynkXklUh3gktc-xP4xHJsq3s-uuMxZNnO1PHKwlQgsc_FNdj19OC6-3oWWu1iCKjNi48vROdYn7Tj8ecR9d66xv14DA_-JN9rOp8a8Z5-aXcyQ8zX0PvL9LiRrIt6MoOukjwongjMB_S43VDl6aB7OTlkRNDk9G8Af53beNlXzzDheXI7D0zYcYdt2__psE-sFk2G4Z24iqnQ5PSNX6CiL5Zpdr7yCcKeCwquT4fq8dZMa3vt_cWdT6o09rpQnmh9ube41p-h8tg7Od7t99ZSJGCC1lm3m9U-fQC74y5kv_BuxHXbAY9yECHAFceAL2gsb5Na7h3oJx9CUn5bRXvve2Qc4ow1G0qmtD0WoNtKGl6UNxdq6ziv_lCjzqXAbA0JuGqyFiwozPfLF3yrjAfOHL-Y6h75MnrZLuSfG0oOPPPKU31CqZEtJF18N5cs_ScCL-jpboopUhbM4hccnauGy7xWZMSp4dOElkAwTUKCCghok6LvMX5uGXQsY8H-0MQxGhvxcC_ONQVKYV91mfXtcLVv9l864JPxFj434bvS7mRekFW4ZlN09aIaNNfmmOOhSAfC4ngI5abQFBh9yfDTClgXEG2XmPvDPdblNI8dcj2PX25vkxyQcqWOMDQ_Y8PXBNMrcjb_CrGhP4egsdZBdVLGQzuSJjH2eHEj1TOylbmd3p3977-NdLb7cOoWaPNnu2Ws66iaXEjLFrG5TY5fnj9fyzPmZSbT7gc43ePIHFBbTKGr-G28OwGBgtVOctHGo8GaVMjGh5wZGB2e_cYjpDyaPl78DtQf0ExKvT37N_xxXH2XPmMH3pdbs1OgNkOQ6NjUblcbtDH6HWwa-t3butFmL86E-aRU9u688O1Rp4Ve85N8QdnISd46bJjpRO3dl5-UFzZGD0NkqROICeAgnF7WgANHmVYsjvbMHt1qdGs2zIboAq8Dm0-E-OCbOnhfsIRqKersaU11NKs6k8KzQVGFVxwmqw9_oOLFNQxRzAzeHTVR64-INu3v1gcUbU-zSVs_3MYJ9sF95TkgW7qt_sf_MI3VjOqcySrnWPl-vdcQFAfo5WcS6PyWyjKGdG80Kl-_LQSZQanWhkOka5a12kHlUWHpBZ00RrKCuVytz6NYx6ul7hBPi2ylsZcui2oTwlcdqYsWeyNUuXHzbUp8nqzF8A54LWBHCLIsqcukQY-lmWT8FR0ZCMhdnTfPBCBnQnt6dAmtRjnTSaVfTfltypHwtqz7rHmsFiBuhlRJdCeDqAB_mQlZ3iStgbhPwKOeToG-6jDY7bI7ZE5lvRUdcSdIQ60fKF-khMgl0JFs42vvTvU4Dp8Koq972sBeKh6Q_2KtfRqqy3effXBN30jpt_Bty-0lF4UOWvOuZVs6vZnYIOBtXPd4zhEdWSFbUVOfMHEaN_O3zKOSoDVoNjq755_ejxLGzzl9tlXhw3ujz_u9SXnFQWODUYDcXqeEDCRFfKfFPqG3mOPOZDiD9M4_iaZVhtQtJZcuM8gJMdWFFUG4PUr4f_SjcxKmxGvGStMSVwyToTGXNjUIUSxpZrwoUvj4RjP3X6Bub83DZT50kZeVcvWU9fU5NA7uh14wWvyFCGNCMByYMzXVbQA2LLQtFiQfUD6J8mNxBEi-0mr4fqo3cYgLJI3H91dIBUl4LYRd_TvwbHyv4Ro2Qk0JIIWRLtUh4it1AuRoAKdlr522GL8l4-whqnrew9EbsSawiC6ldHhgZttZaK5B5nusf_ij3Tt9oiPWa26SQjF4Zq4jAqZ4njSBlplC2WHINqWpM7UOV2cG3oPZxaHdmc6DJoJyVFvqUjv9PSfEBCOXI8yqL4riA7RsQZtDOpocuv6pB6phNB0_k8TwWPJ2IjAtWLp641rBscXTx42tFl3c0BQR_JGAs_TJXl_5O8txXiynjzWojCOOBi2FuMchPU7sdU8WbGgvKMwJeZXIGNhIy196IvJtel6OKFZdt6Dj7VQ30KnAmd8xVEIuurE9ZKjKEFdfYjpZXIqfzr8BJVP0FwF7QfHdSCRL8bXgtC2TAGf6tgmcy62qop7kHktGTyZRQypsvdy0jIAtm9j5R4aWCu59rBY1ShyvLWzIWR6hOdXZ4M62IQKt263T5RJylaEIfUciDr7h4PXFSJBqvS1ofh03t5fmCg11FBa5vypjEaejOUbYlnAYNtfOo0KT8edVGi8r3MkU3r_oKXpyytv4DKJezkDbXf83f4DDW_yV2VGfDRlxN7ac4Vq11_qiJzFrSQdBBmLvrXssNQkPM-QQVfyvFSHYd8raqTWgfURRR_bWQ5RSE4RXIb3xvLf0QnEkF-PBBhkcWTBw5MlO3D0TK6K_SWY1riiSvoqoysM4eeNR8xy3TrzgnQ4v9bWbt2sdpatikwO4RZa6H0fbZklf-Ll8ID3iFhwjCdF4slTVNhhYINPcvwahxTxL4sVxiCwRiA2LDondMjxEaaCsAxFsKqGpeXt93EbVj70LaAaw_AcK3LwGu8vFUHgTCULwlvob_CJQ1HEHVOG1qWw5YQE6XOd1m-rhy-UQsDWwA6m12faTe6Ivw_SGqzX9fxJWz6BvRVMnRg2eYEbxkOCGZA8QXsxgyM0npzg32gNUvoRvinOLctgKygTdcvJbBx6cuw_GpB3akrXatxkN4BeJfP-ieh-6KC-uJL55vDf-p17dAgDa49EBKTunF1hNpDh-_kEW-fBzOQ9J0maftc5nhF4_mQq2zaca6UO9ZQnTv4c9HFoZasu8cXzflWc7RvCx7RFLxN40GziK0fXNbIZxOyYqnyRsPOgUjBapgCj-bz0IdnvGIrTEA5TD0R140FbEk-NogdKbA1JyHL16eJOeAZQoTzkwleTuds64VDKNWibthpwUq7bIXrRLzRfwlelRAqBmAZdpkFp8WVjAf9Eol1bZhlQMx6XPemQEaohvCZQ5-YHc9WAuTii_w5JN9f6feOmjC6DfKLV9AJ6nCZAGmom_a-YtaqM3fSQjFy1xM0jTZBwGwx1xVsGAYf4YpIW28DARk4tbJETTeIvo6ZmzVBqWzthMw-EWRtW9eGEtCfvdV5p-UhqmXZX09Y0PTF3SMgd7JszWGOBHSsQhgYrWJ9lunfvcFpb-KK9jqBZRWZbLnIbBwStuEiykmaywyEBit201V5i5u1BXNWJDg0bMtfYWvndc3BbFSXq0aNJJl4cSCI8-eJhPC3KucK4owgcVuG4-ou-vo-JP63QstwiYI7ahHW5v2JvSRokvorctmwx7MeJZunngeR0Ddkg9DJM55duxp23QUfx3rU9hDnfloIsDinpPnrP5wSbuSmQCmF77whsgRF7LBucNin7-15DYDtuaqxOapG6JDyr6bdNJ-T9XBswCCN2qhleSow3itInN4wEEpg9GFUwYML1S3WUhLS59k6rUZFr-9TJGTjIAic1vi7eQjr3bo3qS-rSGTFsFwq_5mrmsouZNYbeeA3uNZqWZ0E6FZ_L7NwhHZJ3cCtg5zZzPYA5Ng081bMoJbMJKsEVlHnNrDKSAGano5noizynxkKWEUz3-iS1wNrNZwvN6U3nSpcZa0s4jZK2Ujvye94uQeaJQg3gIruHK-UVbnBdJyrskjZ3ohvNtFLGDMtZlFWIz16P6nuOjb3IH5HyiTK8iV8pXrp1RW460UiC3IcXBJ1gAvJsataxOR3p1vO7dcP5g0buaK7H92u6FJAFHoHwitZ9KytBliL1fgL0tKxifVgR2LkZM_psYvV-cA01uDrIc3mtoE46apPU6a1FirxZx7FaH1p9CHRQ8IBmssSzKpLq-5hWhLUzt7gwKaPPk3cWGHyUinrZpJnqBkF-pUx4VNkVbuk1Wzz6xLB3YxI7aTgmqJXw13nTQfipHYXNDCaYUAXCgbnp0VjOvAtmJqM7Wd7JmfhGRYEVic0dTJwKdiD-1Nn-RBsQXohTPiyQdH_twvFLjFSiocyEFg6Ng8kAF9qAMgrJmxfSSf8Pai8fcwQIt0Qv2TMfz57lIxlO3z6S0asfGLN1gA0SYSe6bDshKVV0Y1BBEcXdkQv9EW5HrzZcabGq_Ba_M0VoXetd7RFr8nU416WKa4nqslZ5a7NZ5IeEuMwmj7oFzfnu1P4cBY3J80w9LjMm3JNfDyaYxcw1HGgmRRn2Fpu6wCHiA-HMi2Pm0jzJTqwWT_WDCpI8U-eNJ8tSqHNJrnLAyE06FT-eLwUpM95Tf8rBDwrXGhz8DDHvgSxX7ofIEZExI9XHDKYSV7vaBsu952GXNjlBy4_si-wznyJByHQfAET_luJdBRg6Rm5wzyeBW2mKBdtz1RA97zsJr6DbGz0TGdeH619xnO8y26y7DtlM_ll6VdD15rVA1cwwn_MEJV4XLtNXL3BM2z0pCel-VD-mg8jtoMCIawUd_ZboDOXP8KKBzXYP2jwoDneRSgrU2P_jYR2i57yRIra7JhcATh_4Kcp2UXimkWRbTyepQpVpxLd2Kgvb50gfR5s9YMb1fTbgRSfCs0GKkV7W10oz77E1XkwGpNXhubHIzWtMDGMZC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Your task is to extract them into separate fields.\\nLose any dashes between name and address but preserve linebreaks.\\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \\\"visual splitting characters\\\" between name and address.\\nFilename: Se_18_Assembl\u00e9es_3_Bilanz1968_2_page_9\\nPage: 9\\n\\nWe need extract metadata. Probably list each shareholder entry with N\u00b0 d'ordre, Name, Address, Actions O, Actions P, Nombre de voix, Signature? The output format? Not specified. Probably a table.\\n\\nMaybe output format is JSON? Could be CSV. The instruction: \\\"Please extract the metadata according to the given output format.\\\" But no format given. Might be standard: each row with fields: N\u00b0 d'ordre, Name, Address, Actions O, Actions P, Nombre de voix.\\n\\nWe need separate name and address. Lose any dashes between name and address but preserve linebreaks. Be aware addresses may contain multiple dashes; preserve them, only remove \\\"visual splitting characters\\\" between name and address.\\n\\nSo for entry 1:\\nName: Monsieur BREHAM Alain\\nAddress: 45 bd Charcot - NEUILLY-S/SEINE (92)\\nFRANCE\\n\\nBut note the address lines: \\\"45 bd Charcot - NEUILLY-S/SEINE (92)\\\" then \\\"FRANCE\\\". Should preserve linebreaks. So address is two lines.\\n\\nThe dash between name and address is visual splitting character. In the table, name is on one row, address on next row. So no dash to remove? Actually the name row is \\\"Monsieur BREHAM Alain\\\" and next row is \\\"45 bd Charcot - NEUILLY-S/SEINE (92)\\\". There's no dash between them in text, but maybe the table has a dash? The instruction says lose any dashes between name and address but preserve linebreaks. Might be that in the OCR the name and address are on same field with a dash separator. But here they are on separate rows. Hmm.\\n\\nMaybe the field \\\"NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\\" spans multiple rows per shareholder. So we need to combine rows into one entry: name is first line, address is subsequent lines until next N\u00b0.\\n\\nSo for 1:\\nName: Monsieur BREHAM Alain\\nAddress:\\n45 bd Charcot - NEUILLY-S/SEINE (92)\\nFRANCE\\n\\nFor 2:\\nName: Monsieur BREHAM Marc\\nAddress:\\nla Tuilerie - ST NOM LA BRETECHE\\nFRANCE\\n\\nFor 3:\\nName: Monsieur MASSON Daniel\\nAddress:\\nVilla la Cava, av. de la Cava 06 -\\nFRANCE\\nCANNES\\nWait the table shows:\\nVilla la Cava, av. de la Cava 06 -\\nFRANCE\\nCANNES\\nActually the row shows \\\"Villa la Cava, av. de la Cava 06 -\\\" on one line, and \\\"FRANCE CANNES\\\" on next? The image shows:\\nVilla la Cava, av. de la Cava 06 -\\nFRANCE CANNES\\nMaybe the address is:\\nVilla la Cava, av. de la Cava 06 -\\nCANNES\\nFRANCE? Hmm layout is weird. The column is split. Might be \\\"Villa la Cava, av. de la Cava 06 -\\\" on first line, then \\\"FRANCE\\\" on left and \\\"CANNES\\\" on right? Could be two columns? No.\\n\\nMaybe the address lines are:\\nVilla la Cava, av. de la Cava 06 -\\nCANNES\\nFRANCE\\n\\nBut the image shows \\\"FRANCE\\\" under the first line and \\\"CANNES\\\" under the same line? Let's assume address lines as printed:\\nVilla la Cava, av. de la Cava 06 -\\nFRANCE\\nCANNES\\n\\nBut that seems odd. Might be \\\"Villa la Cava, av. de la Cava 06 - CANNES\\\" and \\\"FRANCE\\\". The dash is part of address. The line break maybe after dash. Could be:\\nVilla la Cava, av. de la Cava 06 - CANNES\\nFRANCE\\n\\nThe table shows \\\"Villa la Cava, av. de la Cava 06 -\\\" on one row, and next row has \\\"FRANCE\\\" left aligned and \\\"CANNES\\\" right aligned under the same cell? Might be a formatting issue. Probably the address is:\\nVilla la Cava, av. de la Cava 06 - CANNES\\nFRANCE\\n\\nI'll assume the address lines are:\\nVilla la Cava, av. de la Cava 06 - CANNES\\nFRANCE\\n\\nBut the image shows FRANCE on left and CANNES on right on same row. Could be two lines merged. Safer to keep as printed lines: line1 \\\"Villa la Cava, av. de la Cava 06 -\\\", line2 \\\"FRANCE\\\", line3 \\\"CANNES\\\"? Hmm.\\n\\nMaybe better to extract exactly as text appears in the cell, preserving linebreaks. The cell for entry 3 contains three lines: \\\"Monsieur MASSON Daniel\\\", \\\"Villa la Cava, av. de la Cava 06 -\\\", \\\"FRANCE CANNES\\\". Wait the third line shows \\\"FRANCE\\\" left and \\\"CANNES\\\" right. Could be \\\"FRANCE CANNES\\\" on same line.\\n\\nLet's assume the address is:\\nVilla la Cava, av. de la Cava 06 - CANNES\\nFRANCE\\n\\nI'll output with linebreak.\\n\\nEntry 4:\\nName: COMPAGNIE CENTRALE SICLI\\nAddress:\\n2/4 rue Blaise Pascal\\n93 - LE BLANC-MESNIL\\nFRANCE\\n\\nEntry 5:\\nName: SOCIETE DES MINES DE L'AURIERAS\\nAddress:\\n11 bis rue Balzac PARIS 8e\\nFRANCE\\n\\nEntry 6:\\nName: SOCIETE DE RECHERCHES MINIERES FRAN-\\nCAISES\\nThe name is split across two lines: \\\"SOCIETE DE RECHERCHES MINIERES FRAN-\\\" and \\\"CAISES 11 bis rue Balzac PARIS 8e\\\". Wait the second line contains both name continuation and address start. The table shows:\\nSOCIETE DE RECHERCHES MINIERES FRAN-\\nCAISES 11 bis rue Balzac PARIS 8e\\nSo name is \\\"SOCIETE DE RECHERCHES MINIERES FRANCAISES\\\". The dash is a hyphenation. Should we keep? Probably name is SOCIETE DE RECHERCHES MINIERES FRANCAISES. The address is:\\n11 bis rue Balzac PARIS 8e\\nFRANCE\\n\\nEntry 7:\\nName: Monsieur PANI Antonio\\nAddress:\\nSESSA (Tessin)\\nSUISSE\\n\\nActions O, P, Nombre de voix:\\n1: O 179, P 520, Voix 699\\n2: O 179, P 520, Voix 699\\n3: O 10, P (blank), Voix 10\\n4: O 168, P 822, Voix 990\\n5: O 45, P 355, Voix 400\\n6: O 10, P (blank), Voix 10\\n7: O 10, P (blank), Voix 10\\n\\nWe need output format. Maybe a markdown table.\\n\\nI'll produce a list of entries with fields: N\u00b0 d'ordre, Name, Address, Actions O, Actions P, Nombre de voix.\\n\\nFilename and Page as metadata.\\n\\nProbably output as CSV.\\n\\nI'll provide a clear table.\\n\\nLet's produce:\\n\\nFilename: Se_18_Assembl\u00e9es_3_Bilanz1968_2_page_9\\nPage: 9\\n\\nEntries:\\n\\n1 | Monsieur BREHAM Alain | 45 bd Charcot - NEUILLY-S/SEINE (92)\\\\nFRANCE | 179 | 520 | 699\\netc.\\n\\nI'll output in markdown.\\n\\nLet's do that.\\n\\nEnsure dashes between name and address removed. There is no dash between name and address in our extraction, good.\\n\\nPreserve linebreaks in address using \\\\n.\\n\\nI'll present.\\n\\n\"},\"token_ids\":null,\"routed_experts\":null,\"seed\":null}],\"created\":1786844420,\"model\":\"meta-models/Muse-Glimmer-30B\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":\"vllm-0.1.dev19059+g66826a22d-tp2-46311a71\",\"usage\":{\"completion_tokens\":2460,\"prompt_tokens\":4170,\"total_tokens\":6630,\"completion_tokens_details\":null,\"prompt_tokens_details\":{\"audio_tokens\":null,\"cached_tokens\":0,\"created_cache_tokens\":4160,\"multimodal_tokens\":{\"image\":4034}}},\"prompt_token_ids\":null,\"prompt_text\":null,\"kv_transfer_params\":null,\"ec_transfer_params\":null,\"metrics\":null,\"prompt\":[]}"}, "scoring": {"fuzzy": 0.8586962536223648, "cost_summary": {"total_input_tokens": 36776, "total_output_tokens": 25641, "total_tokens": 62417, "input_cost_usd": 0.012871599999999999, "output_cost_usd": 0.0384615, "total_cost_usd": 0.051333100000000007}}, "normalized_score": 85.86962536223648}, {"_id": {"$oid": "6a8456c1ef0a19c343227d6e"}, "test_id": "T1553", "benchmark": "general_meeting_minutes", "date": "2026-08-16", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "huggingface", "model": "thinkingmachines/Inkling-Small:deepinfra", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf\",\"page_number\":3,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"170\",\"no_de_voix\":\"170\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"170\",\"no_de_voix\":\"170\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"3\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'orangerie Compi\u00e8gne (Oise)\",\"actions_o\":\"-\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"4\",\"name\":\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\",\"address\":\"11, rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"222\",\"actions_p\":\"162\",\"no_de_voix\":\"162\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"5\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes - Paris XVIe\",\"actions_o\":\"80\",\"actions_p\":\"68\",\"no_de_voix\":\"68\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\",\"address\":\"11, rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"355\",\"actions_p\":\"45\",\"no_de_voix\":\"45\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"11, rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"-\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"8\",\"name\":\"M. PANL Antonio\",\"address\":\"Sessa (Tessin)\",\"actions_o\":\"-\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"9\",\"name\":\"dott. Travaso\",\"address\":\"Paris\",\"actions_o\":\"1\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"10\",\"name\":\"Paul Marx\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"11\",\"name\":\"Hi Beatrice\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"2999\",\"total_p\":\"1599\",\"total_voix\":\"1599\"}}", "model": "thinkingmachines/Inkling-Small", "provider": "huggingface", "finish_reason": "stop", "usage": {"input_tokens": 2268, "output_tokens": 6884, "total_tokens": 9152, "input_cost_usd": 0.0010206, "output_cost_usd": 0.0082608, "estimated_cost_usd": 0.0092814}, "duration": 42.06718611717224, "timestamp": "2026-08-16T01:26:13.459757", "parsed": {"document": "Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf", "page_number": 3, "entries": [{"number": "1", "name": "M. BREHAM Alain", "address": "45 Boulevard Charcot - Neuilly-sur-Seine (Seine)", "actions_o": "520", "actions_p": "170", "no_de_voix": "170", "signature_present": true, "signature": "P. Pon"}, {"number": "2", "name": "M. BREHAM Marc", "address": "16, rue Saint Pierre - Neuilly sur Seine (Seine)", "actions_o": "520", "actions_p": "170", "no_de_voix": "170", "signature_present": true, "signature": "P. Pon"}, {"number": "3", "name": "M. MASSON Daniel", "address": "9 rue de l'orangerie Compi\u00e8gne (Oise)", "actions_o": "-", "actions_p": "-", "no_de_voix": "10", "signature_present": true, "signature": "P. Pon"}, {"number": "4", "name": "Cie Centrale des mines et de m\u00e9tallurgie Sicilienne", "address": "11, rue Balzac - Paris (8\u00b0)", "actions_o": "222", "actions_p": "162", "no_de_voix": "162", "signature_present": true, "signature": "P. Pon"}, {"number": "5", "name": "M. STRAP Pierre", "address": "73, rue des Vignes - Paris XVIe", "actions_o": "80", "actions_p": "68", "no_de_voix": "68", "signature_present": true, "signature": "P. Pon"}, {"number": "6", "name": "Soci\u00e9t\u00e9 des mines de l'AURIERAS", "address": "11, rue Balzac - Paris (8\u00b0)", "actions_o": "355", "actions_p": "45", "no_de_voix": "45", "signature_present": true, "signature": "P. Pon"}, {"number": "7", "name": "Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises", "address": "11, rue Balzac - Paris (8\u00b0)", "actions_o": "-", "actions_p": "-", "no_de_voix": "10", "signature_present": true, "signature": "P. Pon"}, {"number": "8", "name": "M. PANL Antonio", "address": "Sessa (Tessin)", "actions_o": "-", "actions_p": "-", "no_de_voix": "10", "signature_present": true, "signature": "P. Pon"}, {"number": "9", "name": "dott. Travaso", "address": "Paris", "actions_o": "1", "actions_p": "1", "no_de_voix": "1", "signature_present": false, "signature": ""}, {"number": "10", "name": "Paul Marx", "address": "", "actions_o": "1", "actions_p": "1", "no_de_voix": "1", "signature_present": false, "signature": ""}, {"number": "11", "name": "Hi Beatrice", "address": "", "actions_o": "1", "actions_p": "1", "no_de_voix": "1", "signature_present": false, "signature": ""}], "total_actions": {"total_o": "2999", "total_p": "1599", "total_voix": "1599"}}, "conversation_id": "244acc72-5fc9-4f87-a004-e6fa1cae454a", "score": {"fuzzy": 0.5874356094805534}, "raw_response": "{\"id\":\"chatcmpl-R2H1cIJNJh6s5PyVlG6je6bb\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n\\n\\n  \\\"document\\\": \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf\\\",\\n  \\\"page_number\\\": 3,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\":  \\t\\\"1\\\",\\n      \\\"name\\\": \\\"M. BREHAM Alain\\\",\\n      \\\"address\\\": \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"520\\\",\\n   \\t\\\"actions_p\\\": \\\"170\\\",\\n   \\t\\\"no_de_voix\\\": \\\"170\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"M. BREHAM Marc\\\",\\n      \\\"address\\\": \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"520\\\",\\n   \\t\\\"actions_p\\\": \\\"170\\\",\\n   \\t\\\"no_de_voix\\\": \\\"170\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"M. MASSON Daniel\\\",\\n      \\\"address\\\": \\\"9 rue de l'orangerie Compi\u00e8gne (Oise)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"-\\\",\\n   \\t\\\"actions_p\\\": \\\"-\\\",\\n   \\t\\\"no_de_voix\\\": \\\"10\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\",\\n      \\\"address\\\": \\\"11, rue Balzac - Paris (8\u00b0)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"222\\\",\\n   \\t\\\"actions_p\\\": \\\"162\\\",\\n   \\t\\\"no_de_voix\\\": \\\"162\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"M. STRAP Pierre\\\",\\n      \\\"address\\\": \\\"73, rue des Vignes - Paris XVIe\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"80\\\",\\n   \\t\\\"actions_p\\\": \\\"68\\\",\\n   \\t\\\"no_de_voix\\\": \\\"68\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\\\",\\n      \\\"address\\\": \\\"11, rue Balzac - Paris (8\u00b0)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"355\\\",\\n   \\t\\\"actions_p\\\": \\\"45\\\",\\n   \\t\\\"no_de_voix\\\": \\\"45\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\\\",\\n      \\\"address\\\": \\\"11, rue Balzac - Paris (8\u00b0)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"-\\\",\\n   \\t\\\"actions_p\\\": \\\"-\\\",\\n   \\t\\\"no_de_voix\\\": \\\"10\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"8\\\",\\n      \\\"name\\\": \\\"M. PANL Antonio\\\",\\n      \\\"address\\\": \\\"Sessa (Tessin)\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"-\\\",\\n   \\t\\\"actions_p\\\": \\\"-\\\",\\n   \\t\\\"no_de_voix\\\": \\\"10\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": true\\n   \\t,\\n   \\t\\\"signature\\\": \\\"P. Pon\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"9\\\",\\n      \\\"name\\\": \\\"dott. Travaso\\\",\\n      \\\"address\\\": \\\"Paris\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"1\\\",\\n   \\t\\\"actions_p\\\": \\\"1\\\",\\n   \\t\\\"no_de_voix\\\": \\\"1\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": false\\n   \\t,\\n   \\t\\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"10\\\",\\n      \\\"name\\\": \\\"Paul Marx\\\",\\n      \\\"address\\\": \\\"\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"1\\\",\\n   \\t\\\"actions_p\\\": \\\"1\\\",\\n   \\t\\\"no_de_voix\\\": \\\"1\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": false\\n   \\t,\\n   \\t\\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"11\\\",\\n      \\\"name\\\": \\\"Hi Beatrice\\\",\\n      \\\"address\\\": \\\"\\\"\\n   \\t,\\n   \\t\\\"actions_o\\\": \\\"1\\\",\\n   \\t\\\"actions_p\\\": \\\"1\\\",\\n   \\t\\\"no_de_voix\\\": \\\"1\\\"\\n   \\t,\\n   \\t\\\"signature_present\\\": false\\n   \\t,\\n   \\t\\\"signature\\\": \\\"\\\"\\n    }\\n  ]\\n  \\n  ,\\n  \\\"total_actions\\\":  \\t{\\n   \\t\\\"total_o\\\": \\\"2999\\\",\\n   \\t\\\"total_p\\\": \\\"1599\\\"\\n \\t,\\n \\t\\\"total_voix\\\": \\\"1599\\\"\\n \\t}\\n  \\n  }\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf\",\"page_number\":3,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"170\",\"no_de_voix\":\"170\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"170\",\"no_de_voix\":\"170\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"3\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'orangerie Compi\u00e8gne (Oise)\",\"actions_o\":\"-\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"4\",\"name\":\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\",\"address\":\"11, rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"222\",\"actions_p\":\"162\",\"no_de_voix\":\"162\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"5\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes - Paris XVIe\",\"actions_o\":\"80\",\"actions_p\":\"68\",\"no_de_voix\":\"68\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\",\"address\":\"11, rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"355\",\"actions_p\":\"45\",\"no_de_voix\":\"45\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"11, rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"-\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"8\",\"name\":\"M. PANL Antonio\",\"address\":\"Sessa (Tessin)\",\"actions_o\":\"-\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"P. Pon\"},{\"number\":\"9\",\"name\":\"dott. Travaso\",\"address\":\"Paris\",\"actions_o\":\"1\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"10\",\"name\":\"Paul Marx\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"11\",\"name\":\"Hi Beatrice\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"2999\",\"total_p\":\"1599\",\"total_voix\":\"1599\"}},\"reasoning_content\":\"We need parse table. Extract metadata: likely list of shareholders with name and address. Need separate Name and Address fields. Lose dashes between name and address but preserve linebreaks. Be aware addresses may contain multiple dashes; preserve them, only remove \\\"visual splitting characters\\\" between name and address.\\n\\nWe have rows 1-8 plus some at bottom: \\\"Paris dott. Travaso\\\"? Let's inspect.\\n\\nThe column header: \\\"NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\\". So each cell contains name and domicile (address). We need extract each entry as separate fields? The user says \\\"Please extract the metadata according to the given output format.\\\" But no explicit output format shown. Likely they want JSON or structured list with Name and Address. We need infer from instruction: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks. Be aware: Addresses may contain multiple dashes; preserve them, only remove \\\"visual splitting characters\\\" between name and address.\\\"\\n\\nSo for each row, produce Name and Address. Maybe output as list of objects: { \\\"name\\\": \\\"...\\\", \\\"address\\\": \\\"...\\\" }. Let's do that.\\n\\nLet's read each row carefully.\\n\\nRow 1 (N\u00b0 1):\\nText: \\\"M. BREHAM Alain\\\" then line break? Next line: \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"? Let's inspect: It says \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\" maybe \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\". Yes.\\nSo Name: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\nBut need lose dashes between name and address. There's likely a dash or line separating? In the cell, name is on first line, address on second. No dash between them except maybe a horizontal line? We just separate by linebreak.\\n\\nRow 2 (N\u00b0 2):\\n\\\"M. BREHAM Marc\\\"\\n\\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\"? Let's see: \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\".\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly sur Seine (Seine)\\n\\nRow 3 (N\u00b0 3):\\n\\\"M. MASSON Daniel\\\"\\n\\\"9 rue de l'Orangerie Compi\u00e8gne (Oise)\\\"? Text: \\\"9 rue de l'orangerie Compi\u00e8gne (Oise)\\\".\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'orangerie Compi\u00e8gne (Oise)\\n\\nRow 4 (N\u00b0 4):\\n\\\"cie Centrale des mines et de m\u00e9tallurgie Sicil\\\" maybe \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\"? Let's parse: First line: \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicil\\\" second line: \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\"? Actually \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\"? Let's look: It says \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\"? The handwriting: \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\" maybe \\\"11, rue Balzac - Paris (8\u00b0)\\\"? Let's examine: It looks like \\\"11, rue Balzac - Paris (8\u00b0)\\\"? The first character could be \\\"11\\\" or \\\"1\u00e8re\\\". Actually likely \\\"11, rue Balzac - Paris (8\u00b0)\\\". Let's keep as is: \\\"11, rue Balzac - Paris (8\u00b0)\\\"? Wait the text: \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\" doesn't make sense. Could be \\\"11e rue Balzac\\\"? No. Let's read carefully: The second line starts with \\\"11, rue Balzac - Paris (8\u00b0)\\\" maybe the \\\"11\\\" is written as \\\"11\\\". Yes I think \\\"11, rue Balzac - Paris (8\u00b0)\\\". But let's not overcorrect; extract what's visible: \\\"11, rue Balzac - Paris (8\u00b0)\\\"? Actually the first part might be \\\"11, rue Balzac\\\". Let's use \\\"11, rue Balzac - Paris (8\u00b0)\\\".\\nName: Cie Centrale des mines et de m\u00e9tallurgie Sicil? Wait \\\"Sicil\\\" likely \\\"Sicilienne\\\". But we extract as written: \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicil\\\" maybe full is \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\". However the text is truncated? Let's just use what's there: \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicil\\\". But maybe it's \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\". The handwriting: \\\"Sicil\\\" then maybe \\\"ienne\\\" on next? No next line is address. So name is \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicil\\\". Could be \\\"Sicilienne\\\" abbreviated? Let's keep \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\" if we can infer. But safer to transcribe exactly: \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicil\\\". Actually looking at image, after \\\"Sicil\\\" there is a small \\\"i\\\" maybe \\\"Sicili\\\"? Let's not guess too much. Use \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\" because likely \\\"Sicilienne\\\". But the instruction is to extract metadata; accuracy matters. Let's examine: The word is \\\"Sicilienne\\\" written as \\\"Sicilienne\\\"? The handwriting: \\\"Sicil\\\" then a loop maybe \\\"ienne\\\". Yes likely \\\"Sicilienne\\\". So Name: Cie Centrale des mines et de m\u00e9tallurgie Sicilienne.\\nAddress: 11, rue Balzac - Paris (8\u00b0) or \\\"1\u00e8re rue Balzac\\\"? Let's choose \\\"11, rue Balzac - Paris (8\u00b0)\\\" because \\\"11\\\" is common. Actually looking at the number: It seems \\\"222\\\" in actions column, \\\"162\\\" votes. The address line: \\\"11, rue Balzac - Paris (8\u00b0)\\\"? The first characters look like \\\"11\\\" indeed. Let's go with \\\"11, rue Balzac - Paris (8\u00b0)\\\".\\n\\nRow 5 (N\u00b0 5):\\n\\\"M. STRAP Pierre\\\"\\n\\\"73, rue des Vignes - Paris XVIe\\\" maybe \\\"73, rue des Vignes - Paris XVIe\\\".\\nName: M. STRAP Pierre\\nAddress: 73, rue des Vignes - Paris XVIe\\n\\nRow 6 (N\u00b0 6):\\n\\\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\\\"\\n\\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\"? Let's see: \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\"? Actually it might be \\\"11, rue Balzac - Paris (8\u00b0)\\\" again. The first part: \\\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\\\". Yes.\\nAddress: \\\"11, rue Balzac - Paris (8\u00b0)\\\"? Let's write \\\"11, rue Balzac - Paris (8\u00b0)\\\" or \\\"1\u00e8re rue Balzac - Paris (8\u00b0)\\\"? The handwriting shows \\\"11\\\" maybe. Let's use \\\"11, rue Balzac - Paris (8\u00b0)\\\".\\nBut wait row 4 and 6 both have same address? Could be. Row 4: \\\"Cie Centrale...\\\" address \\\"11, rue Balzac - Paris (8\u00b0)\\\". Row 6: \\\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\\\" address \\\"11, rue Balzac - Paris (8\u00b0)\\\". Yes possible.\\n\\nRow 7 (N\u00b0 7):\\n\\\"Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n\\\"11, rue Balzac - Paris (8\u00b0)\\\"? Let's see: Yes likely same.\\nName: Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: 11, rue Balzac - Paris (8\u00b0)\\n\\nRow 8 (N\u00b0 8):\\n\\\"M. PANL Antonio\\\"\\n\\\"Sessa (Tessin)\\\"? Text: \\\"Sessa (Tessin)\\\".\\nName: M. PANL Antonio\\nAddress: Sessa (Tessin)\\n\\nThen below row 8, there are entries without N\u00b0:\\n\\\"Paris dott. Travaso\\\" maybe \\\"Paris dott. Travaso\\\"? Let's parse: First line: \\\"Paris dott. Travaso\\\" or \\\"Paris, dott. Travaso\\\"? Actually it could be name \\\"Travaso\\\" and address \\\"Paris\\\"? Wait the column is name and domicile. So maybe:\\n- Name: dott. Travaso? Address: Paris?\\nLet's look: The text is \\\"Paris dott. Travaso\\\". Could be \\\"Paris\\\" is address, \\\"dott. Travaso\\\" is name. But order in column is name then domicile. However sometimes they write domicile first? Let's examine: For previous entries, name is first line, address second. Here \\\"Paris dott. Travaso\\\" is on one line? Then next line empty? Actually there is a line break after \\\"Travaso\\\". Then actions: 1, votes: 1. So likely Name: dott. Travaso, Address: Paris. But the text \\\"Paris dott. Travaso\\\" might be \\\"Paris\\\" as address placed before name? Let's check the next entries:\\n\\\"Paul Marz\\\" (or \\\"Paul Marx\\\"?). Next: \\\"Hi Beatrice\\\"? Let's parse.\\n\\nActually at bottom:\\nLine 1: \\\"Paris dott. Travaso\\\" -> maybe Name: dott. Travaso, Address: Paris.\\nLine 2: \\\"Paul Marx\\\" -> Name: Paul Marx, Address: ??? Maybe empty? But actions 1, votes 1.\\nLine 3: \\\"Hi Beatrice\\\" -> Name: Hi Beatrice? Address: ??? \\n\\nWait these might be additional shareholders listed without number, perhaps with address omitted because same? Let's look at layout: The cell spans multiple rows? Actually after row 8, there is a big empty cell in name column, but handwritten entries appear in the lower part of that cell, maybe continuing the list. The entries are:\\n- \\\"Paris dott. Travaso\\\"\\n- \\\"Paul Marx\\\"\\n- \\\"Hi Beatrice\\\"\\n\\nBut we need to separate name and address. For \\\"Paris dott. Travaso\\\", likely Address: Paris, Name: dott. Travaso. Because \\\"dott.\\\" is title (doctor). So Name: dott. Travaso. Address: Paris.\\n\\nFor \\\"Paul Marx\\\", maybe Address: ??? Could be \\\"Paris\\\"? Not written. Maybe name is Paul Marx, address is same as previous? But we only extract what's visible.\\n\\nFor \\\"Hi Beatrice\\\", name: Hi Beatrice? Address: ??? \\n\\nHowever the instruction: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\" So for each line, we need to split name and address based on visual splitting characters (like dashes). But here \\\"Paris dott. Travaso\\\" has no dash. Could be that \\\"Paris\\\" is address and \\\"dott. Travaso\\\" is name, but they are separated by space, not dash. How to decide? Maybe the pattern is: For these bottom entries, the address is on the left? Let's examine the handwriting: \\\"Paris dott. Travaso\\\" - \\\"Paris\\\" is written slightly left, then \\\"dott. Travaso\\\". Could be name \\\"Travaso\\\" and address \\\"Paris\\\". But without dash, it's ambiguous.\\n\\nLet's look at \\\"Paul Marx\\\" - no address visible. \\\"Hi Beatrice\\\" - no address.\\n\\nMaybe these are actually names only, and address is omitted because they are present? But the column header says \\\"NOM, PR\u00c9NOMS ET DOMICILE\\\". So both should be present.\\n\\nLet's reconsider: The bottom entries might be:\\n- Name: Paris dott. Travaso? No.\\n- Address: Paris; Name: dott. Travaso.\\n- Name: Paul Marx; Address: (none)\\n- Name: Hi Beatrice; Address: (none)\\n\\nBut the user wants metadata extraction. We can list all entries with best guess.\\n\\nHowever maybe the bottom text is:\\n\\\"Paris, dott. Travaso\\\" meaning \\\"Paris\\\" is address, \\\"dott. Travaso\\\" is name.\\n\\\"Paul Marx\\\" maybe address is \\\"Paris\\\"? Not written.\\n\\\"Hi Beatrice\\\" maybe \\\"Hi\\\" is address? No.\\n\\nLet's look at the actions: For bottom three, actions = 1, votes = 1 each. So they are shareholders with 1 share each.\\n\\nGiven the ambiguity, I will extract as:\\n- Name: dott. Travaso; Address: Paris\\n- Name: Paul Marx; Address: (not specified)\\n- Name: Hi Beatrice; Address: (not specified)\\n\\nBut maybe \\\"Paris\\\" belongs to all? Could be \\\"Paris\\\" is address for all three, written once on left. Let's examine layout: The text \\\"Paris\\\" is on the same line as \\\"dott. Travaso\\\". Then \\\"Paul Marx\\\" is on next line, no \\\"Paris\\\". So likely \\\"Paris\\\" is part of the first entry's address or name.\\n\\nActually another possibility: The first bottom entry is \\\"Paris dott. Travaso\\\" meaning Name: Paris? No.\\n\\nLet's think about French naming: \\\"dott.\\\" is abbreviation for \\\"dottore\\\" (Italian) or \\\"docteur\\\". So \\\"dott. Travaso\\\" is a person with title. Address: Paris. That fits: Name: dott. Travaso, Address: Paris.\\n\\nSecond: \\\"Paul Marx\\\" - maybe address is also Paris? But not written.\\n\\nThird: \\\"Hi Beatrice\\\" - maybe \\\"Hi\\\" is abbreviation for \\\"H\u00f4tel\\\"? No.\\n\\nGiven limited info, I will provide structured extraction for rows 1-8 clearly, and for bottom entries extract as separate entries with name and address as best as possible, noting line breaks.\\n\\nBut the user likely expects just the list of shareholders from the table. Let's produce JSON array of objects with \\\"name\\\" and \\\"address\\\". For bottom ones, if address missing, leave empty or include as part of name? Let's decide.\\n\\nActually looking closely at image: The bottom handwritten text might be:\\n- \\\"Paris dott. Travaso\\\" -> Could be \\\"Paris\\\" is the domicile, \\\"dott. Travaso\\\" is name.\\n- \\\"Paul Marx\\\" -> Name: Paul Marx; domicile: maybe same as above? Not written.\\n- \\\"Hi Beatrice\\\" -> Name: Hi Beatrice.\\n\\nBut there is also \\\"A REPORTER\\\" and signatures at very bottom.\\n\\nTo be safe, I will extract each line as a separate record, splitting on the first space if one part looks like a place? But that's too heuristic.\\n\\nAlternative: The user instruction: \\\"Lose any dashes between name and address but preserve linebreaks.\\\" This suggests that within a single table cell, name and address are separated by dashes (like \\\"M. BREHAM Alain - 45 Boulevard...\\\"). But in the image, they are on separate lines, not dashes. However maybe originally there were dashes that are visual splitting characters. So we need to remove dashes that separate name and address, but keep dashes inside address.\\n\\nThus for each cell, the content is something like:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"\\nThere is no dash between name and address; they are separated by line break. So we just split by line break: first line name, rest address.\\n\\nFor bottom entries:\\n\\\"Paris dott. Travaso\\\" is on one line. Could be name and address on same line separated by space? But maybe there is a dash that is hard to see? Let's assume no dash.\\n\\nWait maybe the bottom entries are:\\nName: dott. Travaso; Address: Paris\\nBut written as \\\"Paris dott. Travaso\\\" because address is placed first? Actually in French minutes, sometimes they write \\\"domicile - nom\\\". But header says \\\"NOM, PR\u00c9NOMS ET DOMICILE\\\". So name first.\\n\\nLet's check row 1: First line \\\"M. BREHAM Alain\\\" (name). Second line \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\" (address). Good.\\n\\nBottom: First line \\\"Paris dott. Travaso\\\". If name first, then name is \\\"Paris dott. Travaso\\\"? That doesn't make sense. If address first, then address is \\\"Paris\\\", name is \\\"dott. Travaso\\\". So maybe for these entries, they wrote address first, then name. But why?\\n\\nLet's examine \\\"Paul Marx\\\": Could be address \\\"Paul\\\"? No. So likely name is \\\"Paul Marx\\\", and address is missing or implied.\\n\\n\\\"Hi Beatrice\\\": Name \\\"Hi Beatrice\\\"? Could be \\\"H. Beatrice\\\"? The \\\"Hi\\\" might be \\\"Mlle\\\" or \\\"Mme\\\"? Actually \\\"Hi\\\" could be abbreviation for \\\"H\u00f4tel\\\"? No.\\n\\nWait, could \\\"Hi Beatrice\\\" be \\\"11, Beatrice\\\"? No.\\n\\nLet's not overthink. Provide extraction for clear rows. For bottom, extract as:\\n- Name: dott. Travaso; Address: Paris\\n- Name: Paul Marx; Address: (none)\\n- Name: Hi Beatrice; Address: (none)\\n\\nBut maybe \\\"Paris\\\" is address for all three, written once at top of that sub-section. Actually the handwriting \\\"Paris\\\" is positioned above \\\"dott. Travaso\\\"? Let's visualize: The text \\\"Paris dott. Travaso\\\" is on same line. The \\\"Paris\\\" is left-aligned, \\\"dott. Travaso\\\" is to the right. So yes, address first.\\n\\nWhat if the format for these is: Address: Paris; Name: dott. Travaso. Then next: Address: (none); Name: Paul Marx. Next: Address: (none); Name: Hi Beatrice.\\n\\nBut the user wants separate fields. We can assign accordingly.\\n\\nHowever, to be most helpful, I will list all entries with name and address as they appear, splitting by line breaks. For single-line entries, I'll put the whole text in name and leave address empty, or split if obvious.\\n\\nLet's decide on final output format. Since user said \\\"according to the given output format\\\" but didn't provide one, I will use a clear structured format: a list of entries, each with \\\"Name\\\" and \\\"Address\\\". Maybe also include row number.\\n\\nLet's craft:\\n\\n1. Name: M. BREHAM Alain\\n   Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\n\\n2. Name: M. BREHAM Marc\\n   Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine)\\n\\n3. Name: M. MASSON Daniel\\n   Address: 9 rue de l'orangerie Compi\u00e8gne (Oise)\\n\\n4. Name: Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\n   Address: 11, rue Balzac - Paris (8\u00b0)\\n\\n5. Name: M. STRAP Pierre\\n   Address: 73, rue des Vignes - Paris XVIe\\n\\n6. Name: Soci\u00e9t\u00e9 des mines de l'AURIERAS\\n   Address: 11, rue Balzac - Paris (8\u00b0)\\n\\n7. Name: Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\\n   Address: 11, rue Balzac - Paris (8\u00b0)\\n\\n8. Name: M. PANL Antonio\\n   Address: Sessa (Tessin)\\n\\n9. Name: dott. Travaso\\n   Address: Paris\\n\\n10. Name: Paul Marx\\n    Address: (not specified)\\n\\n11. Name: Hi Beatrice\\n    Address: (not specified)\\n\\nBut maybe row 4 address is \\\"11, rue Balzac - Paris (8\u00b0)\\\" and row 6,7 same.\\n\\nLet's double-check row 3 address: \\\"9 rue de l'orangerie Compi\u00e8gne (Oise)\\\" - yes.\\n\\nRow 5: \\\"73, rue des Vignes - Paris XVIe\\\" - yes.\\n\\nRow 8: \\\"Sessa (Tessin)\\\" - yes.\\n\\nNow about dashes: In addresses, dashes are preserved: \\\"Charcot - Neuilly\\\", \\\"Pierre - Neuilly\\\", \\\"Balzac - Paris\\\". Good.\\n\\nWhat about \\\"Neuilly-sur-Seine\\\" has dashes; preserve.\\n\\nNow, the user might want the output as a table or JSON. I'll provide JSON array for clarity.\\n\\nBut let's also include the metadata: Filename, Page. The user said \\\"Please extract the metadata according to the given output format.\\\" Maybe they want just the extracted fields, but also include file/page info? The prompt includes \\\"Filename: ... Page: 3\\\". So likely include those as metadata.\\n\\nThus final output could be:\\n\\n{\\n  \\\"filename\\\": \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\\",\\n  \\\"page\\\": 3,\\n  \\\"shareholders\\\": [\\n    {\\\"name\\\": \\\"...\\\", \\\"address\\\": \\\"...\\\"},\\n    ...\\n  ]\\n}\\n\\nYes, that seems appropriate.\\n\\nLet's refine names exactly as written:\\n\\nRow 1: \\\"M. BREHAM Alain\\\" (capitalization: BREHAM, Alain). Address: \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\". Note: In handwriting, \\\"Boulevard\\\" maybe \\\"Boulevard\\\". Yes.\\n\\nRow 2: \\\"M. BREHAM Marc\\\". Address: \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\". Note: \\\"sur\\\" lowercase.\\n\\nRow 3: \\\"M. MASSON Daniel\\\". Address: \\\"9 rue de l'orangerie Compi\u00e8gne (Oise)\\\". Note: \\\"l'orangerie\\\" lowercase.\\n\\nRow 4: \\\"Cie Centrale des mines et de m\u00e9tallurgie Sicilienne\\\". Let's check: The first word is \\\"Cie\\\" (Compagnie). Then \\\"Centrale des mines et de m\u00e9tallurgie\\\". Then \\\"Sicilienne\\\". Yes. Address: \\\"11, rue Balzac - Paris (8\u00b0)\\\". Actually could be \\\"1\u00e8re rue Balzac\\\"? Let's look at the number: In actions column it's 222, votes 162. The address line: The first characters are \\\"11\\\" I think. But could be \\\"1\u00e8re\\\". However \\\"1\u00e8re rue Balzac\\\" is odd; \\\"11, rue Balzac\\\" is standard. Let's use \\\"11, rue Balzac - Paris (8\u00b0)\\\".\\n\\nRow 5: \\\"M. STRAP Pierre\\\". Address: \\\"73, rue des Vignes - Paris XVIe\\\".\\n\\nRow 6: \\\"Soci\u00e9t\u00e9 des mines de l'AURIERAS\\\". Address: \\\"11, rue Balzac - Paris (8\u00b0)\\\".\\n\\nRow 7: \\\"Soci\u00e9t\u00e9 des Recherches Mini\u00e8res Fran\u00e7aises\\\". Address: \\\"11, rue Balzac - Paris (8\u00b0)\\\".\\n\\nRow 8: \\\"M. PANL Antonio\\\". Address: \\\"Sessa (Tessin)\\\".\\n\\nBottom entries: Let's treat as separate but maybe they are part of row 8? No, row 8 is M. PANL Antonio. The bottom entries are additional lines in same cell? Actually the cell for row 8 might contain only M. PANL Antonio / Sessa (Tessin). Then below that, in the same column but outside table? No, they are inside the table but without row number, maybe continuing the list because page break? Actually it's common in minutes to have a list that continues at bottom with \\\"Paris dott. Travaso\\\" etc. But they are handwritten in the margin.\\n\\nTo be safe, I will include them as additional entries with row numbers 9, 10, 11.\\n\\nFor entry 9: The text is \\\"Paris dott. Travaso\\\". Since address likely \\\"Paris\\\", name \\\"dott. Travaso\\\". But could also be name \\\"Paris dott. Travaso\\\". However \\\"dott.\\\" suggests title, so name is \\\"dott. Travaso\\\". Address: \\\"Paris\\\".\\n\\nEntry 10: \\\"Paul Marx\\\". No address visible. So name: \\\"Paul Marx\\\", address: \\\"\\\".\\n\\nEntry 11: \\\"Hi Beatrice\\\". Name: \\\"Hi Beatrice\\\", address: \\\"\\\". But \\\"Hi\\\" might be \\\"Mme\\\" or \\\"Mlle\\\"? Actually \\\"Hi\\\" could be \\\"H. i.\\\"? Not sure. Let's keep \\\"Hi Beatrice\\\".\\n\\nWait, could \\\"Hi Beatrice\\\" be \\\"11, Beatrice\\\"? No.\\n\\nAnother interpretation: The bottom three are:\\n- Name: dott. Travaso; Address: Paris\\n- Name: Paul Marx; Address: (none)\\n- Name: Beatrice; Address: Hi? No.\\n\\nGiven uncertainty, I will present them as extracted lines, splitting by space if first token is a known city? But that's too much.\\n\\nLet's just provide the clear 8 entries and mention additional handwritten entries at bottom. But user asked to extract metadata; likely they want all.\\n\\nI will format as:\\n\\n{\\n  \\\"filename\\\": \\\"...\\\",\\n  \\\"page\\\": 3,\\n  \\\"entries\\\": [\\n    {\\\"row\\\": 1, \\\"name\\\": \\\"M. BREHAM Alain\\\", \\\"address\\\": \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"},\\n    ...\\n    {\\\"row\\\": 9, \\\"name\\\": \\\"dott. Travaso\\\", \\\"address\\\": \\\"Paris\\\"},\\n    {\\\"row\\\": 10, \\\"name\\\": \\\"Paul Marx\\\", \\\"address\\\": null},\\n    {\\\"row\\\": 11, \\\"name\\\": \\\"Hi Beatrice\\\", \\\"address\\\": null}\\n  ]\\n}\\n\\nYes.\\n\\nNow check for any dashes between name and address that need removal. In the raw text, there might be dashes like \\\"M. BREHAM Alain - 45 Boulevard...\\\" but in image they are on separate lines. The instruction says lose any dashes between name and address. So if I were to concatenate, I'd remove them. But since I'm splitting, it's fine.\\n\\nLet's ensure address dashes preserved: \\\"Neuilly-sur-Seine\\\" has dashes; \\\"Charcot - Neuilly\\\" has dash; \\\"Saint Pierre - Neuilly\\\"; \\\"Balzac - Paris\\\"; \\\"Vignes - Paris\\\". All preserved.\\n\\nOne more thing: Row 1 address: \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\". The dash between Charcot and Neuilly is a separator between street and city; preserve.\\n\\nRow 2: \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\". Preserve dash.\\n\\nRow 3: \\\"9 rue de l'orangerie Compi\u00e8gne (Oise)\\\". No dash.\\n\\nRow 4: \\\"11, rue Balzac - Paris (8\u00b0)\\\". Preserve.\\n\\nRow 5: \\\"73, rue des Vignes - Paris XVIe\\\". Preserve.\\n\\nRow 6,7: same.\\n\\nRow 8: \\\"Sessa (Tessin)\\\". No dash.\\n\\nNow, about capitalization: Keep as is.\\n\\nLet's write final answer.\",\"name\":null}}],\"created\":1786836373,\"model\":\"thinkingmachines/Inkling-Small\",\"object\":\"chat.completion\",\"service_tier\":\"default\",\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":6884,\"prompt_tokens\":2268,\"total_tokens\":9152,\"completion_tokens_details\":null,\"prompt_tokens_details\":{\"audio_tokens\":null,\"cached_tokens\":0,\"cache_write_tokens\":null},\"estimated_cost\":0.0092814,\"reasoning_tokens\":5741}}"}, "scoring": {"fuzzy": 0.7526510656964411, "cost_summary": {"total_input_tokens": 19521, "total_output_tokens": 42687, "total_tokens": 62208, "input_cost_usd": 0.008784450000000001, "output_cost_usd": 0.0512244, "total_cost_usd": 0.06000885}}, "normalized_score": 75.26510656964412}, {"_id": {"$oid": "6a8456c1ef0a19c343227d23"}, "test_id": "T1568", "benchmark": "general_meeting_minutes", "date": "2026-08-15", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "huggingface", "model": "thinkingmachines/Inkling:together", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "We need parse image table. Need extract entries 1-7 and totals at bottom. Need separate name and address, removing dashes that split them but preserve line breaks and internal dashes in address.\n\nLet's read table carefully.\n\nColumns: N\u00b0 D'ORDRE, NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES, ACTIONS (Ordinaire, de Priorit\u00e9, DE VOIX), NOMBRE DE VOIX? Actually columns: Ordinaire, de Priorit\u00e9? Wait \"ACTIONS\" with subcols \"Ordi- naires\" and \"de Prio- rit\u00e9\" and \"DE VOIX\". Then \"NOMBRE\" and \"SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\".\n\nData rows:\n1: Mr Alain BREHAM (Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8? Actually address line split: \"132 Boulevard Haussmann - 75 / PARIS 8\" maybe \"132 Boulevard Haussmann - 75 / PARIS 8\"? Need separate name and address. Name: \"Mr Alain BREHAM (Cabinet D. FEAU\"?? Wait there is dash between name and address? The text in cell: \"Mr Alain BREHAM (Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\" Hmm need understand splitting characters. The instruction: \"Lose any dashes between name and address but preserve linebreaks. Be aware: Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\"\n\nSo in row 1, the cell contains:\nMr Alain BREHAM (Cabinet D. FEAU -\n132 Boulevard Haussmann - 75 / PARIS 8\n\nThus the dash after \"FEAU\" is the visual splitter between name and address? Actually name includes \"(Cabinet D. FEAU\" maybe that's part of name/organization? Let's parse: \"Mr Alain BREHAM (Cabinet D. FEAU\" then dash then address \"132 Boulevard Haussmann - 75 / PARIS 8\". So name should be \"Mr Alain BREHAM (Cabinet D. FEAU\" and address \"132 Boulevard Haussmann - 75 / PARIS 8\". Need remove the dash that splits them, but preserve line break. So name: \"Mr Alain BREHAM (Cabinet D. FEAU)\"? Wait there is opening parenthesis but no closing? In image maybe \"(Cabinet D. FEAU -\" then address. Actually might be \"Mr Alain BREHAM (Cabinet D. FEAU)\" as name, then address on next line. But we just need separate fields with line breaks preserved? The address field should contain the address lines with line breaks? The schema uses string, so we can include newline characters? Probably yes preserve linebreaks. Let's represent with \\n? But JSON can include actual newline escaped. We'll use \\n for clarity? Actually in JSON string we can embed \\n.\n\nLet's list all rows precisely.\n\nRow 1:\nNumber: 1\nActions Ordinaire: 179\nActions Priorit\u00e9: 520\nVoix: 699\nName/Address cell:\nLine1: Mr Alain BREHAM (Cabinet D. FEAU -\nLine2: 132 Boulevard Haussmann - 75 / PARIS 8\nSo name = \"Mr Alain BREHAM (Cabinet D. FEAU\"\nAddress = \"132 Boulevard Haussmann - 75 / PARIS 8\"\nBut need lose dashes between name and address. The dash after FEAU is removed. Also maybe there is a line break. So address starts on new line.\n\nRow 2:\nNumber: 2\nName/Address:\nMr Marc BREHAM - La Tuilerie -\n78/St-Nom la Bret\u00e8che\nWait need split name and address. The dash after BREHAM is splitter? Then \"La Tuilerie\" might be part of address? Actually \"Mr Marc BREHAM - La Tuilerie -\" then address \"78/St-Nom la Bret\u00e8che\". Let's parse: Name \"Mr Marc BREHAM\", then splitter dash, then address \"La Tuilerie -\\n78/St-Nom la Bret\u00e8che\"? Or \"La Tuilerie\" is part of address? The instruction says addresses may contain multiple dashes; preserve them, only remove visual splitting characters between name and address. Here there are dashes after BREHAM and after Tuilerie. Which one is the splitter? Typically format: Name - Address - maybe another line. Let's examine: \"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret\u00e8che\". This could be name \"Mr Marc BREHAM\", address \"La Tuilerie - 78/St-Nom la Bret\u00e8che\". But there is a dash between BREHAM and La Tuilerie (splitter), and another dash between Tuilerie and 78/St-Nom... which might be part of address? Actually address might be \"La Tuilerie\\n78/St-Nom la Bret\u00e8che\" with dash being line separator? But they said preserve linebreaks, lose dashes between name and address. The cell likely has line breaks:\nMr Marc BREHAM - La Tuilerie -\n78/St-Nom la Bret\u00e8che\nSo there is a line break after the second dash? In image, row 2 cell shows:\nMr Marc BREHAM - La Tuilerie -\n78/St-Nom la Bret\u00e8che\nThus the visual splitting dash is the first one after BREHAM? Or both? Let's think: They want separate name and address. The name is \"Mr Marc BREHAM\". The address is \"La Tuilerie - 78/St-Nom la Bret\u00e8che\". But there is also a dash after Tuilerie that might be a line separator replaced by dash in the table? Actually in other rows, they use \" - \" between name and address on same line, then address continues on next line without dash? Let's check row 3:\nCOMPAGNIE CENTRALE SICLI\nII bis rue Balzac - 75 / PARIS 8e\nHere there is no dash between name and address? Wait name is \"COMPAGNIE CENTRALE SICLI\" then on next line \"II bis rue Balzac - 75 / PARIS 8e\". So no splitter dash, just line break.\n\nRow 4:\nSt\u00e9 DES MINES DE L'AURIERAS\nII bis rue Balzac - 75 / PARIS 8e\nSame.\n\nRow 5:\nSt\u00e9 de RECHERCHES MINIERES FRANCAISES\nII bis rue Balzac - 75 / PARIS 8e\n\nRow 6:\nMr PANT Antonio\nSESSA (Tessin) Suisse\nHere name and address separated by line break, no dash.\n\nRow 7:\nMr MASSON Daniel - Villa La Cava\nAvenue de la Cava - 06 / CANNES\nHere there is dash after Daniel, then \"Villa La Cava\" on same line, then next line address. So splitter is after Daniel. Address should be \"Villa La Cava\\nAvenue de la Cava - 06 / CANNES\". The dash between Daniel and Villa is removed. The dash in \"Avenue de la Cava - 06 / CANNES\" is preserved.\n\nThus for row 2, likely name \"Mr Marc BREHAM\", address \"La Tuilerie\\n78/St-Nom la Bret\u00e8che\". But there is a dash after Tuilerie in the cell: \"La Tuilerie -\". That might be a visual splitter for line break? Actually in the image, the cell might show:\nMr Marc BREHAM - La Tuilerie -\n78/St-Nom la Bret\u00e8che\nThe dash after Tuilerie could be at end of line indicating continuation? But they said preserve linebreaks, lose dashes between name and address. The dash after Tuilerie is within address? Let's examine consistency: In row 1, there is dash after FEAU then line break then address. In row 7, dash after Daniel then \"Villa La Cava\" then line break then address with dash. So the pattern is: Name - [part of address?] - then line break then rest of address. For row 7, \"Villa La Cava\" is part of address (the house/villa name), then line break, then street address. So the first dash separates name from address, and the second dash? Actually in row 7 there is only one dash: \"Mr MASSON Daniel - Villa La Cava\" then line break \"Avenue de la Cava - 06 / CANNES\". So only one dash, between name and address start.\n\nThus for row 2, \"Mr Marc BREHAM - La Tuilerie -\" then line break \"78/St-Nom la Bret\u00e8che\". Here there are two dashes: one after BREHAM (name/address split), one after Tuilerie (maybe part of address? Or line separator?). But since \"La Tuilerie\" is likely part of address (like villa name), the dash after Tuilerie might be unnecessary visual split before line break? Actually they said \"Lose any dashes between name and address but preserve linebreaks.\" So we should remove the dash immediately following the name. Any other dashes within address should be preserved, but if there's a dash right before a line break that serves as visual splitting character? The instruction: \"only remove 'visual splitting characters' between name and address.\" So only the one separating name and address. Thus for row 2, remove dash after BREHAM. Keep \"La Tuilerie - 78/St-Nom la Bret\u00e8che\"? But there is a line break after Tuilerie - maybe the", "model": "thinkingmachines/Inkling", "provider": "huggingface", "finish_reason": "length", "usage": {"input_tokens": 2650, "output_tokens": 2048, "total_tokens": 4698, "input_cost_usd": 0.00265, "output_cost_usd": 0.008294399999999999, "estimated_cost_usd": 0.010944399999999998}, "duration": 51.10115337371826, "timestamp": "2026-08-15T17:47:36.171957", "conversation_id": "94c3bd31-c5e5-4180-81e3-d68e0535b947", "score": {"fuzzy": 0.0}, "raw_response": "{\"id\":\"owKBJMX-6z2FuN-a2b9560ffaf5c990\",\"choices\":[{\"finish_reason\":\"length\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"We need parse image table. Need extract entries 1-7 and totals at bottom. Need separate name and address, removing dashes that split them but preserve line breaks and internal dashes in address.\\n\\nLet's read table carefully.\\n\\nColumns: N\u00b0 D'ORDRE, NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES, ACTIONS (Ordinaire, de Priorit\u00e9, DE VOIX), NOMBRE DE VOIX? Actually columns: Ordinaire, de Priorit\u00e9? Wait \\\"ACTIONS\\\" with subcols \\\"Ordi- naires\\\" and \\\"de Prio- rit\u00e9\\\" and \\\"DE VOIX\\\". Then \\\"NOMBRE\\\" and \\\"SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\\".\\n\\nData rows:\\n1: Mr Alain BREHAM (Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8? Actually address line split: \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\" maybe \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\"? Need separate name and address. Name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\"?? Wait there is dash between name and address? The text in cell: \\\"Mr Alain BREHAM (Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\" Hmm need understand splitting characters. The instruction: \\\"Lose any dashes between name and address but preserve linebreaks. Be aware: Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\"\\n\\nSo in row 1, the cell contains:\\nMr Alain BREHAM (Cabinet D. FEAU -\\n132 Boulevard Haussmann - 75 / PARIS 8\\n\\nThus the dash after \\\"FEAU\\\" is the visual splitter between name and address? Actually name includes \\\"(Cabinet D. FEAU\\\" maybe that's part of name/organization? Let's parse: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" then dash then address \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\". So name should be \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and address \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\". Need remove the dash that splits them, but preserve line break. So name: \\\"Mr Alain BREHAM (Cabinet D. FEAU)\\\"? Wait there is opening parenthesis but no closing? In image maybe \\\"(Cabinet D. FEAU -\\\" then address. Actually might be \\\"Mr Alain BREHAM (Cabinet D. FEAU)\\\" as name, then address on next line. But we just need separate fields with line breaks preserved? The address field should contain the address lines with line breaks? The schema uses string, so we can include newline characters? Probably yes preserve linebreaks. Let's represent with \\\\n? But JSON can include actual newline escaped. We'll use \\\\n for clarity? Actually in JSON string we can embed \\\\n.\\n\\nLet's list all rows precisely.\\n\\nRow 1:\\nNumber: 1\\nActions Ordinaire: 179\\nActions Priorit\u00e9: 520\\nVoix: 699\\nName/Address cell:\\nLine1: Mr Alain BREHAM (Cabinet D. FEAU -\\nLine2: 132 Boulevard Haussmann - 75 / PARIS 8\\nSo name = \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\"\\nAddress = \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\"\\nBut need lose dashes between name and address. The dash after FEAU is removed. Also maybe there is a line break. So address starts on new line.\\n\\nRow 2:\\nNumber: 2\\nName/Address:\\nMr Marc BREHAM - La Tuilerie -\\n78/St-Nom la Bret\u00e8che\\nWait need split name and address. The dash after BREHAM is splitter? Then \\\"La Tuilerie\\\" might be part of address? Actually \\\"Mr Marc BREHAM - La Tuilerie -\\\" then address \\\"78/St-Nom la Bret\u00e8che\\\". Let's parse: Name \\\"Mr Marc BREHAM\\\", then splitter dash, then address \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\"? Or \\\"La Tuilerie\\\" is part of address? The instruction says addresses may contain multiple dashes; preserve them, only remove visual splitting characters between name and address. Here there are dashes after BREHAM and after Tuilerie. Which one is the splitter? Typically format: Name - Address - maybe another line. Let's examine: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". This could be name \\\"Mr Marc BREHAM\\\", address \\\"La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". But there is a dash between BREHAM and La Tuilerie (splitter), and another dash between Tuilerie and 78/St-Nom... which might be part of address? Actually address might be \\\"La Tuilerie\\\\n78/St-Nom la Bret\u00e8che\\\" with dash being line separator? But they said preserve linebreaks, lose dashes between name and address. The cell likely has line breaks:\\nMr Marc BREHAM - La Tuilerie -\\n78/St-Nom la Bret\u00e8che\\nSo there is a line break after the second dash? In image, row 2 cell shows:\\nMr Marc BREHAM - La Tuilerie -\\n78/St-Nom la Bret\u00e8che\\nThus the visual splitting dash is the first one after BREHAM? Or both? Let's think: They want separate name and address. The name is \\\"Mr Marc BREHAM\\\". The address is \\\"La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". But there is also a dash after Tuilerie that might be a line separator replaced by dash in the table? Actually in other rows, they use \\\" - \\\" between name and address on same line, then address continues on next line without dash? Let's check row 3:\\nCOMPAGNIE CENTRALE SICLI\\nII bis rue Balzac - 75 / PARIS 8e\\nHere there is no dash between name and address? Wait name is \\\"COMPAGNIE CENTRALE SICLI\\\" then on next line \\\"II bis rue Balzac - 75 / PARIS 8e\\\". So no splitter dash, just line break.\\n\\nRow 4:\\nSt\u00e9 DES MINES DE L'AURIERAS\\nII bis rue Balzac - 75 / PARIS 8e\\nSame.\\n\\nRow 5:\\nSt\u00e9 de RECHERCHES MINIERES FRANCAISES\\nII bis rue Balzac - 75 / PARIS 8e\\n\\nRow 6:\\nMr PANT Antonio\\nSESSA (Tessin) Suisse\\nHere name and address separated by line break, no dash.\\n\\nRow 7:\\nMr MASSON Daniel - Villa La Cava\\nAvenue de la Cava - 06 / CANNES\\nHere there is dash after Daniel, then \\\"Villa La Cava\\\" on same line, then next line address. So splitter is after Daniel. Address should be \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\". The dash between Daniel and Villa is removed. The dash in \\\"Avenue de la Cava - 06 / CANNES\\\" is preserved.\\n\\nThus for row 2, likely name \\\"Mr Marc BREHAM\\\", address \\\"La Tuilerie\\\\n78/St-Nom la Bret\u00e8che\\\". But there is a dash after Tuilerie in the cell: \\\"La Tuilerie -\\\". That might be a visual splitter for line break? Actually in the image, the cell might show:\\nMr Marc BREHAM - La Tuilerie -\\n78/St-Nom la Bret\u00e8che\\nThe dash after Tuilerie could be at end of line indicating continuation? But they said preserve linebreaks, lose dashes between name and address. The dash after Tuilerie is within address? Let's examine consistency: In row 1, there is dash after FEAU then line break then address. In row 7, dash after Daniel then \\\"Villa La Cava\\\" then line break then address with dash. So the pattern is: Name - [part of address?] - then line break then rest of address. For row 7, \\\"Villa La Cava\\\" is part of address (the house/villa name), then line break, then street address. So the first dash separates name from address, and the second dash? Actually in row 7 there is only one dash: \\\"Mr MASSON Daniel - Villa La Cava\\\" then line break \\\"Avenue de la Cava - 06 / CANNES\\\". So only one dash, between name and address start.\\n\\nThus for row 2, \\\"Mr Marc BREHAM - La Tuilerie -\\\" then line break \\\"78/St-Nom la Bret\u00e8che\\\". Here there are two dashes: one after BREHAM (name/address split), one after Tuilerie (maybe part of address? Or line separator?). But since \\\"La Tuilerie\\\" is likely part of address (like villa name), the dash after Tuilerie might be unnecessary visual split before line break? Actually they said \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So we should remove the dash immediately following the name. Any other dashes within address should be preserved, but if there's a dash right before a line break that serves as visual splitting character? The instruction: \\\"only remove 'visual splitting characters' between name and address.\\\" So only the one separating name and address. Thus for row 2, remove dash after BREHAM. Keep \\\"La Tuilerie - 78/St-Nom la Bret\u00e8che\\\"? 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{"$oid": "6a8456c1ef0a19c343227cfa"}, "test_id": "T1478", "benchmark": "general_meeting_minutes", "date": "2026-08-04", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "openrouter", "model": "qwen/qwen3.8-max", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. 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FEAU\",\"address\":\"132 Boulevard Haussmann - 75 / PARIS 8\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"2\",\"name\":\"Mr Marc BREHAM\",\"address\":\"La Tuilerie - 78/St-Nom la Bret\u00e8che\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"3\",\"name\":\"COMPAGNIE CENTRALE SICLI\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"4\",\"name\":\"St\u00e9 DES MINES DE L'AURIERAS\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"5\",\"name\":\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"6\",\"name\":\"Mr PANI Antonio\",\"address\":\"SESSA (Tessin) Suisse\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"7\",\"name\":\"Mr MASSON Daniel\",\"address\":\"Villa La Cava Avenue de la Cava - 06 / CANNES\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"601\",\"total_p\":\"2217\",\"total_voix\":\"2818\"}},\"reasoning\":\"Let me carefully extract the data from this document image.\\n\\nThis document is page 4 of \\\"Se_18_Bilanz1967_page_4\\\".\\n\\nLet me go through each entry in order:\\n\\nEntry 1:\\n- Number: \\\"I\\\" (looks like \\\"I\\\", but could be \\\"1\\\". In the image it's displayed as \\\"I\\\". Looking carefully, it's typed as \\\"I\\\". Other entries are 2, 3, 4, 5, 6, 7. The first one looks like \\\"I\\\", but it's probably \\\"1\\\". Let me think. In the image it's \\\"I\\\". Since the schema requires a string, I could also output \\\"1\\\". But should I preserve it as displayed? The instruction says to extract. The first number appears as \\\"I\\\". Hmm, in many documents of this kind, the first entry is sometimes typed as \\\"I\\\". Let me look at the visual: \\\"I\\\" vs \\\"1\\\". The character displayed is \\\"I\\\" without a serif flag. Other numbers are 2, 3, 4... so the first is probably \\\"1\\\". But the typewriter rendered \\\"1\\\" as \\\"I\\\"? Actually, on typewriters, \\\"1\\\" often looks like a simple vertical bar. Hmm, but entry 5's \\\"5\\\" etc. are normal. Let me compare with entry 5's \\\"I68\\\" \u2014 no, that's entry 3's actions: \\\"I68\\\" is probably \\\"168\\\". Typewriter font renders \\\"1\\\" as something like \\\"I\\\". So the numbers are: entry 1's number is \\\"1\\\", actions ordinaires \\\"179\\\" (displayed as I79), \\\"168\\\" (I68), \\\"10\\\" (IO). So the typewriter's \\\"1\\\" looks like \\\"I\\\". Therefore I should transcribe as the intended number: \\\"1\\\", \\\"179\\\", \\\"168\\\", \\\"10\\\".\\n\\nLet me think carefully: the task is extraction. I think it's best to normalize the typewriter's \\\"I\\\" to \\\"1\\\". Because it's clearly the digit 1. Many similar tasks accept either. Let me decide: number \\\"1\\\", actions_o \\\"179\\\", etc.\\n\\nEntry 1:\\n- Name: \\\"Mr Alain BREHAM (Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\"\\nWait, I need to split name and address. The field contains name and address combined. Entry 1 text: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\"\\n\\nHmm, the name is \\\"Mr Alain BREHAM\\\", and the address is \\\"(Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\". The dash between \\\"FEAU\\\" and \\\"132\\\" is part of the address? Actually \\\"Cabinet D. FEAU - 132 Boulevard Haussmann\\\" \u2014 the dash here connects within the address. The visual splitting character between name and address: there's no dash between name and address; the address starts with \\\"(\\\" after the name. So name: \\\"Mr Alain BREHAM\\\", address: \\\"(Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nInstruction: \\\"Remove the dash between name and address, but preserve newlines.\\\" So if there's a dash separating name and address (like entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret\u00e8che\\\"), I remove the splitting dash but preserve dashes within the address? Wait: \\\"The address may contain multiple dashes; preserve them, and only remove the 'visual splitting character' between name and address.\\\"\\n\\nEntry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". Name: \\\"Mr Marc BREHAM\\\". Address: \\\"La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". The dash between name and address is removed. The dash within the address (\\\"La Tuilerie - 78/St-Nom...\\\") is preserved.\\n\\nEntry 7: \\\"Mr MASSON Daniel - Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Name: \\\"Mr MASSON Daniel\\\". Address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\". The dash after Daniel is removed; the dash within the address is preserved.\\n\\nEntry 1: name \\\"Mr Alain BREHAM\\\", address \\\"(Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\". There's a newline between the two lines. Preserve the newline: name on one line, address probably on the next line. How to represent? The entry's field contains name and address in the same table cell spanning two lines. I need to extract them into separate fields. So the name field gets the name text, the address field gets the address text. \\\"Preserve newlines\\\" probably means preserving newlines within the address (if the address spans multiple lines). For entry 1: address line 1: \\\"(Cabinet D. FEAU -\\\" line 2: \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\". So address = \\\"(Cabinet D. FEAU -\\\\n132 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nNote: \\\"I32\\\" should be \\\"132\\\". The typewriter's \\\"I\\\" is actually \\\"1\\\". Transcribe as \\\"132\\\".\\n\\nEntry 1 actions: ordinaires \\\"179\\\" (I79), de priorit\u00e9 \\\"520\\\", no de voix \\\"699\\\".\\n\\nEntry 2: number \\\"2\\\", name \\\"Mr Marc BREHAM\\\", address \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\". Actually, the original text: \\\"Mr Marc BREHAM - La Tuilerie -\\\" newline \\\"78/St-Nom la Bret\u00e8che\\\". So the address preserves the newline and the trailing dash after \\\"La Tuilerie\\\": \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\". Actions: 179, 520, 699.\\n\\nEntry 3: number \\\"3\\\", name \\\"COMPAGNIE CENTRALE SICLI\\\", address \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". The text displays as \\\"II bis rue Balzac\\\" but this is \\\"11 bis\\\". Transcribe as \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". Actions: 168, 822, 990.\\n\\nEntry 4: number \\\"4\\\", name \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". Actions: 45, 355, 400.\\n\\nEntry 5: number \\\"5\\\", name \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\", address \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". Actions: ordinaires \\\"10\\\" (IO), de priorit\u00e9 blank, voix \\\"10\\\".\\n\\nEntry 6: number \\\"6\\\", name \\\"Mr PANI Antonio\\\", address \\\"SESSA (Tessin) Suisse\\\". Actions: 10, blank, 10.\\n\\nEntry 7: number \\\"7\\\", name \\\"Mr MASSON Daniel\\\", address \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\". The original has \\\"Mr MASSON Daniel - Villa La Cava\\\" newline \\\"Avenue de la Cava - 06 / CANNES\\\". So the dash after Daniel is removed. Address: \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\". Actions: 10, blank, 10.\\n\\nTotals: \\\"A REPORTER\\\": handwritten: 601, 2217, 2818. Let me verify: total O: 179+179+168+45+10+10+10 = 601. Yes. Total P: 520+520+822+355 = 2217. Yes. Total voix: 699+699+990+400+10+10+10 = 2818. Yes.\\n\\nSo total_actions: total_o \\\"601\\\", total_p \\\"2217\\\", total_voix \\\"2818\\\".\\n\\nSignature: none present; signature field is an empty string.\\n\\nNow, about the representation of numbers: entry 1's number is displayed as \\\"I\\\". Should I output \\\"1\\\"? The schema requires a string. Considering the sequence 2..7, the first is 1. I'll output \\\"1\\\".\\n\\nBut wait, should I preserve it exactly as displayed (\\\"I\\\")? The prompt says to extract metadata. The typewriter's 1 looks like I. In similar tasks, it's usually normalized to digits. I'll use \\\"1\\\".\\n\\nActions O entry 1: \\\"179\\\". Entry 3: \\\"168\\\". Entry 5: \\\"10\\\". Etc.\\n\\nBlank fields: for entry 5's actions_p: blank \u2192 \\\"\\\" empty string.\\n\\nNow let me construct the JSON.\\n\\nDocument: \\\"Se_18_Bilanz1967_page_4\\\", page_number: 4.\\n\\nEntries array with 7 entries.\\n\\nLet me double-check the address details too:\\n\\nEntry 1 address: \\\"(Cabinet D. FEAU -\\\\n132 Boulevard Haussmann - 75 / PARIS 8\\\". The image ends with \\\"PARIS 8\\\" (probably cut off at 8e, but displayed as \\\"PARIS 8\\\"). At the edge of the cell it shows \\\"75 / PARIS 8\\\". Preserve as displayed: \\\"75 / PARIS 8\\\".\\n\\nEntry 2 address: \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\". The image shows \\\"Bret\u00e8che\\\" with a special character (\u00e8). Preserve as \\\"Bret\u00e8che\\\".\\n\\nEntry 3 address: \\\"11 bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 4 same.\\n\\nEntry 5 same.\\n\\nEntry 6 address: \\\"SESSA (Tessin) Suisse\\\".\\n\\nEntry 7 address: \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\".\\n\\nNames:\\n\\n1: \\\"Mr Alain BREHAM\\\"\\n2: \\\"Mr Marc BREHAM\\\"\\n3: \\\"COMPAGNIE CENTRALE SICLI\\\"\\n4: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\"\\n5: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\"\\n6: \\\"Mr PANI Antonio\\\"\\n7: \\\"Mr MASSON Daniel\\\"\\n\\nsignature_present all false, signature \\\"\\\".\\n\\nTotals: total_o \\\"601\\\", total_p \\\"2217\\\", total_voix \\\"2818\\\".\\n\\nNow let me output the JSON following the schema. Make sure there are no additional properties.\\n\\nLet me write the final JSON.\\n\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Let me carefully extract the data from this document image.\\n\\nThis document is page 4 of \\\"Se_18_Bilanz1967_page_4\\\".\\n\\nLet me go through each entry in order:\\n\\nEntry 1:\\n- Number: \\\"I\\\" (looks like \\\"I\\\", but could be \\\"1\\\". In the image it's displayed as \\\"I\\\". Looking carefully, it's typed as \\\"I\\\". Other entries are 2, 3, 4, 5, 6, 7. The first one looks like \\\"I\\\", but it's probably \\\"1\\\". Let me think. In the image it's \\\"I\\\". Since the schema requires a string, I could also output \\\"1\\\". But should I preserve it as displayed? The instruction says to extract. The first number appears as \\\"I\\\". Hmm, in many documents of this kind, the first entry is sometimes typed as \\\"I\\\". Let me look at the visual: \\\"I\\\" vs \\\"1\\\". The character displayed is \\\"I\\\" without a serif flag. Other numbers are 2, 3, 4... so the first is probably \\\"1\\\". But the typewriter rendered \\\"1\\\" as \\\"I\\\"? Actually, on typewriters, \\\"1\\\" often looks like a simple vertical bar. Hmm, but entry 5's \\\"5\\\" etc. are normal. Let me compare with entry 5's \\\"I68\\\" \u2014 no, that's entry 3's actions: \\\"I68\\\" is probably \\\"168\\\". Typewriter font renders \\\"1\\\" as something like \\\"I\\\". So the numbers are: entry 1's number is \\\"1\\\", actions ordinaires \\\"179\\\" (displayed as I79), \\\"168\\\" (I68), \\\"10\\\" (IO). So the typewriter's \\\"1\\\" looks like \\\"I\\\". Therefore I should transcribe as the intended number: \\\"1\\\", \\\"179\\\", \\\"168\\\", \\\"10\\\".\\n\\nLet me think carefully: the task is extraction. I think it's best to normalize the typewriter's \\\"I\\\" to \\\"1\\\". Because it's clearly the digit 1. Many similar tasks accept either. Let me decide: number \\\"1\\\", actions_o \\\"179\\\", etc.\\n\\nEntry 1:\\n- Name: \\\"Mr Alain BREHAM (Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\"\\nWait, I need to split name and address. The field contains name and address combined. Entry 1 text: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\"\\n\\nHmm, the name is \\\"Mr Alain BREHAM\\\", and the address is \\\"(Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\". The dash between \\\"FEAU\\\" and \\\"132\\\" is part of the address? Actually \\\"Cabinet D. FEAU - 132 Boulevard Haussmann\\\" \u2014 the dash here connects within the address. The visual splitting character between name and address: there's no dash between name and address; the address starts with \\\"(\\\" after the name. So name: \\\"Mr Alain BREHAM\\\", address: \\\"(Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nInstruction: \\\"Remove the dash between name and address, but preserve newlines.\\\" So if there's a dash separating name and address (like entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret\u00e8che\\\"), I remove the splitting dash but preserve dashes within the address? Wait: \\\"The address may contain multiple dashes; preserve them, and only remove the 'visual splitting character' between name and address.\\\"\\n\\nEntry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". Name: \\\"Mr Marc BREHAM\\\". Address: \\\"La Tuilerie - 78/St-Nom la Bret\u00e8che\\\". The dash between name and address is removed. The dash within the address (\\\"La Tuilerie - 78/St-Nom...\\\") is preserved.\\n\\nEntry 7: \\\"Mr MASSON Daniel - Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Name: \\\"Mr MASSON Daniel\\\". Address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\". The dash after Daniel is removed; the dash within the address is preserved.\\n\\nEntry 1: name \\\"Mr Alain BREHAM\\\", address \\\"(Cabinet D. FEAU - 132 Boulevard Haussmann - 75 / PARIS 8\\\". There's a newline between the two lines. Preserve the newline: name on one line, address probably on the next line. How to represent? The entry's field contains name and address in the same table cell spanning two lines. I need to extract them into separate fields. So the name field gets the name text, the address field gets the address text. \\\"Preserve newlines\\\" probably means preserving newlines within the address (if the address spans multiple lines). For entry 1: address line 1: \\\"(Cabinet D. FEAU -\\\" line 2: \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\". So address = \\\"(Cabinet D. FEAU -\\\\n132 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nNote: \\\"I32\\\" should be \\\"132\\\". The typewriter's \\\"I\\\" is actually \\\"1\\\". Transcribe as \\\"132\\\".\\n\\nEntry 1 actions: ordinaires \\\"179\\\" (I79), de priorit\u00e9 \\\"520\\\", no de voix \\\"699\\\".\\n\\nEntry 2: number \\\"2\\\", name \\\"Mr Marc BREHAM\\\", address \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\". Actually, the original text: \\\"Mr Marc BREHAM - La Tuilerie -\\\" newline \\\"78/St-Nom la Bret\u00e8che\\\". So the address preserves the newline and the trailing dash after \\\"La Tuilerie\\\": \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\". Actions: 179, 520, 699.\\n\\nEntry 3: number \\\"3\\\", name \\\"COMPAGNIE CENTRALE SICLI\\\", address \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". The text displays as \\\"II bis rue Balzac\\\" but this is \\\"11 bis\\\". Transcribe as \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". Actions: 168, 822, 990.\\n\\nEntry 4: number \\\"4\\\", name \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". Actions: 45, 355, 400.\\n\\nEntry 5: number \\\"5\\\", name \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\", address \\\"11 bis rue Balzac - 75 / PARIS 8e\\\". Actions: ordinaires \\\"10\\\" (IO), de priorit\u00e9 blank, voix \\\"10\\\".\\n\\nEntry 6: number \\\"6\\\", name \\\"Mr PANI Antonio\\\", address \\\"SESSA (Tessin) Suisse\\\". Actions: 10, blank, 10.\\n\\nEntry 7: number \\\"7\\\", name \\\"Mr MASSON Daniel\\\", address \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\". The original has \\\"Mr MASSON Daniel - Villa La Cava\\\" newline \\\"Avenue de la Cava - 06 / CANNES\\\". So the dash after Daniel is removed. Address: \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\". Actions: 10, blank, 10.\\n\\nTotals: \\\"A REPORTER\\\": handwritten: 601, 2217, 2818. Let me verify: total O: 179+179+168+45+10+10+10 = 601. Yes. Total P: 520+520+822+355 = 2217. Yes. Total voix: 699+699+990+400+10+10+10 = 2818. Yes.\\n\\nSo total_actions: total_o \\\"601\\\", total_p \\\"2217\\\", total_voix \\\"2818\\\".\\n\\nSignature: none present; signature field is an empty string.\\n\\nNow, about the representation of numbers: entry 1's number is displayed as \\\"I\\\". Should I output \\\"1\\\"? The schema requires a string. Considering the sequence 2..7, the first is 1. I'll output \\\"1\\\".\\n\\nBut wait, should I preserve it exactly as displayed (\\\"I\\\")? The prompt says to extract metadata. The typewriter's 1 looks like I. In similar tasks, it's usually normalized to digits. I'll use \\\"1\\\".\\n\\nActions O entry 1: \\\"179\\\". Entry 3: \\\"168\\\". Entry 5: \\\"10\\\". Etc.\\n\\nBlank fields: for entry 5's actions_p: blank \u2192 \\\"\\\" empty string.\\n\\nNow let me construct the JSON.\\n\\nDocument: \\\"Se_18_Bilanz1967_page_4\\\", page_number: 4.\\n\\nEntries array with 7 entries.\\n\\nLet me double-check the address details too:\\n\\nEntry 1 address: \\\"(Cabinet D. FEAU -\\\\n132 Boulevard Haussmann - 75 / PARIS 8\\\". The image ends with \\\"PARIS 8\\\" (probably cut off at 8e, but displayed as \\\"PARIS 8\\\"). At the edge of the cell it shows \\\"75 / PARIS 8\\\". Preserve as displayed: \\\"75 / PARIS 8\\\".\\n\\nEntry 2 address: \\\"La Tuilerie -\\\\n78/St-Nom la Bret\u00e8che\\\". The image shows \\\"Bret\u00e8che\\\" with a special character (\u00e8). Preserve as \\\"Bret\u00e8che\\\".\\n\\nEntry 3 address: \\\"11 bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 4 same.\\n\\nEntry 5 same.\\n\\nEntry 6 address: \\\"SESSA (Tessin) Suisse\\\".\\n\\nEntry 7 address: \\\"Villa La Cava\\\\nAvenue de la Cava - 06 / CANNES\\\".\\n\\nNames:\\n\\n1: \\\"Mr Alain BREHAM\\\"\\n2: \\\"Mr Marc BREHAM\\\"\\n3: \\\"COMPAGNIE CENTRALE SICLI\\\"\\n4: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\"\\n5: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\"\\n6: \\\"Mr PANI Antonio\\\"\\n7: \\\"Mr MASSON Daniel\\\"\\n\\nsignature_present all false, signature \\\"\\\".\\n\\nTotals: total_o \\\"601\\\", total_p \\\"2217\\\", total_voix \\\"2818\\\".\\n\\nNow let me output the JSON following the schema. Make sure there are no additional properties.\\n\\nLet me write the final JSON.\\n\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1785849876,\"model\":\"qwen/qwen3.8-max\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":3236,\"prompt_tokens\":3114,\"total_tokens\":6350,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":2464,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.025644,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.025644,\"upstream_inference_prompt_cost\":0.006228,\"upstream_inference_completions_cost\":0.019416}},\"provider\":\"Alibaba\"}"}, "scoring": {"fuzzy": 0.8539463411443684, "cost_summary": {"total_input_tokens": 28016, "total_output_tokens": 58357, "total_tokens": 86373, "input_cost_usd": 0.043626, "output_cost_usd": 0.292842, "total_cost_usd": 0.40617400000000004}}, "normalized_score": 85.39463411443684}, {"_id": {"$oid": "6a8456c1ef0a19c343227cfb"}, "test_id": "T1463", "benchmark": "general_meeting_minutes", "date": "2026-08-04", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "x-ai", "model": "grok-4.5", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\",\"page_number\":20,\"entries\":[{\"number\":\"31\",\"name\":\"M. SIRCOULON Jacques\",\"address\":\"Mesli\u00e8res (Doubs)\",\"actions_o\":\"\",\"actions_p\":\"11\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"32\",\"name\":\"St\u00e9 Anonyme des Mines d'OR du CHATELET\",\"address\":\"11bis rue Balzac\\nPARIS (8e)\",\"actions_o\":\"365\",\"actions_p\":\"45\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"S. Jeun\"},{\"number\":\"33\",\"name\":\"M. STRAP Gaston\",\"address\":\"112 Bd Exelmans PARIS (16e)\",\"actions_o\":\"50\",\"actions_p\":\"64\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"S. Jeun\"},{\"number\":\"34\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes PARIS (16e)\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Paul\"},{\"number\":\"35\",\"name\":\"Mme WARNANT Pierre\",\"address\":\"148 Av.Franklin Roosevelt\\nBRUXELLES (Belgique)\",\"actions_o\":\"200\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"36\",\"name\":\"de ZANNA Arcangelo\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"3200\",\"total_p\":\"1060\",\"total_voix\":\"\"}}", "model": "grok-4.5", "provider": "x-ai", "finish_reason": "stop", "usage": {"input_tokens": 3198, "output_tokens": 601, "total_tokens": 7819, "cached_tokens": 128, "input_cost_usd": 0.006396, "output_cost_usd": 0.003606, "estimated_cost_usd": 0.010002}, "duration": 78.8434648513794, "timestamp": "2026-08-04T16:41:05.815004", "parsed": {"document": "Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20", "page_number": 20, "entries": [{"number": "31", "name": "M. SIRCOULON Jacques", "address": "Mesli\u00e8res (Doubs)", "actions_o": "", "actions_p": "11", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "32", "name": "St\u00e9 Anonyme des Mines d'OR du CHATELET", "address": "11bis rue Balzac\nPARIS (8e)", "actions_o": "365", "actions_p": "45", "no_de_voix": "", "signature_present": true, "signature": "S. Jeun"}, {"number": "33", "name": "M. STRAP Gaston", "address": "112 Bd Exelmans PARIS (16e)", "actions_o": "50", "actions_p": "64", "no_de_voix": "", "signature_present": true, "signature": "S. Jeun"}, {"number": "34", "name": "M. STRAP Pierre", "address": "73, rue des Vignes PARIS (16e)", "actions_o": "", "actions_p": "1", "no_de_voix": "", "signature_present": true, "signature": "Aut. Paul"}, {"number": "35", "name": "Mme WARNANT Pierre", "address": "148 Av.Franklin Roosevelt\nBRUXELLES (Belgique)", "actions_o": "200", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "36", "name": "de ZANNA Arcangelo", "address": "", "actions_o": "1", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}], "total_actions": {"total_o": "3200", "total_p": "1060", "total_voix": ""}}, "conversation_id": "b4a0b150-5c35-4819-b103-37b24c600cd6", "score": {"fuzzy": 0.8058364428907708}, "raw_response": "{\"id\":\"8b9f4a42-9c82-92ff-bd5a-4c982fa28ad0\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"document\\\": \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\\\",\\n  \\\"page_number\\\": 20,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"31\\\",\\n      \\\"name\\\": \\\"M. SIRCOULON Jacques\\\",\\n      \\\"address\\\": \\\"Mesli\u00e8res (Doubs)\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"11\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"32\\\",\\n      \\\"name\\\": \\\"St\u00e9 Anonyme des Mines d'OR du CHATELET\\\",\\n      \\\"address\\\": \\\"11bis rue Balzac\\\\nPARIS (8e)\\\",\\n      \\\"actions_o\\\": \\\"365\\\",\\n      \\\"actions_p\\\": \\\"45\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"S. Jeun\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"33\\\",\\n      \\\"name\\\": \\\"M. 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Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\",\"page_number\":7,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Bd Charcot Neuilly s/Seine France\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"A. Bau\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"La Tuilerie\\nSaint-Nom la Bret\u00e8che (78) France\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Ter. Bau\"},{\"number\":\"3\",\"name\":\"M. 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Hi"}, {"number": "6", "name": "Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises", "address": "11bis Rue Balzac - Paris (8\u00b0)", "actions_o": "10", "actions_p": "", "no_de_voix": "10", "signature_present": true, "signature": "A. Bau"}, {"number": "7", "name": "M. le Professeur PANI Antonio", "address": "Sessa (Ti)", "actions_o": "10", "actions_p": "", "no_de_voix": "10", "signature_present": true, "signature": "A. Bau"}], "total_actions": {"total_o": "601", "total_p": "2217", "total_voix": ""}}, "conversation_id": "0e7f7643-abf3-419f-ba71-1044b159555a", "score": {"fuzzy": 0.9488075537721096}, "raw_response": "{\"id\":\"gen-1785010519-MC6Dk5IJgMOVJci1LCHU\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\\"document\\\":\\\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\\\",\\\"page_number\\\":7,\\\"entries\\\":[{\\\"number\\\":\\\"1\\\",\\\"name\\\":\\\"M. BREHAM Alain\\\",\\\"address\\\":\\\"45 Bd Charcot Neuilly s/Seine France\\\",\\\"actions_o\\\":\\\"179\\\",\\\"actions_p\\\":\\\"520\\\",\\\"no_de_voix\\\":\\\"699\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"A. Bau\\\"},{\\\"number\\\":\\\"2\\\",\\\"name\\\":\\\"M. BREHAM Marc\\\",\\\"address\\\":\\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\",\\\"actions_o\\\":\\\"179\\\",\\\"actions_p\\\":\\\"520\\\",\\\"no_de_voix\\\":\\\"699\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"Ter. Bau\\\"},{\\\"number\\\":\\\"3\\\",\\\"name\\\":\\\"M. MASSON Daniel\\\",\\\"address\\\":\\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\\nFrance\\\",\\\"actions_o\\\":\\\"10\\\",\\\"actions_p\\\":\\\"\\\",\\\"no_de_voix\\\":\\\"10\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"Masse Bau\\\"},{\\\"number\\\":\\\"4\\\",\\\"name\\\":\\\"Compagnie Centrale Sicli\\\",\\\"address\\\":\\\"11bis Rue Balzac - Paris (8\u00b0)\\\",\\\"actions_o\\\":\\\"168\\\",\\\"actions_p\\\":\\\"822\\\",\\\"no_de_voix\\\":\\\"990\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"Tar Bau\\\"},{\\\"number\\\":\\\"5\\\",\\\"name\\\":\\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\",\\\"address\\\":\\\"11bis Rue Balzac - Paris (8\u00b0)\\\",\\\"actions_o\\\":\\\"45\\\",\\\"actions_p\\\":\\\"355\\\",\\\"no_de_voix\\\":\\\"400\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"B. Hi\\\"},{\\\"number\\\":\\\"6\\\",\\\"name\\\":\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\",\\\"address\\\":\\\"11bis Rue Balzac - Paris (8\u00b0)\\\",\\\"actions_o\\\":\\\"10\\\",\\\"actions_p\\\":\\\"\\\",\\\"no_de_voix\\\":\\\"10\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"A. Bau\\\"},{\\\"number\\\":\\\"7\\\",\\\"name\\\":\\\"M. le Professeur PANI Antonio\\\",\\\"address\\\":\\\"Sessa (Ti)\\\",\\\"actions_o\\\":\\\"10\\\",\\\"actions_p\\\":\\\"\\\",\\\"no_de_voix\\\":\\\"10\\\",\\\"signature_present\\\":true,\\\"signature\\\":\\\"A. Bau\\\"}],\\\"total_actions\\\":{\\\"total_o\\\":\\\"601\\\",\\\"total_p\\\":\\\"2217\\\",\\\"total_voix\\\":\\\"\\\"}}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\",\"page_number\":7,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Bd Charcot Neuilly s/Seine France\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"A. Bau\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"La Tuilerie\\nSaint-Nom la Bret\u00e8che (78) France\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Ter. Bau\"},{\"number\":\"3\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\nFrance\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Masse Bau\"},{\"number\":\"4\",\"name\":\"Compagnie Centrale Sicli\",\"address\":\"11bis Rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":true,\"signature\":\"Tar Bau\"},{\"number\":\"5\",\"name\":\"Soci\u00e9t\u00e9 ds Mines del Aurina\",\"address\":\"11bis Rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":true,\"signature\":\"B. Hi\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"11bis Rue Balzac - Paris (8\u00b0)\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"A. Bau\"},{\"number\":\"7\",\"name\":\"M. le Professeur PANI Antonio\",\"address\":\"Sessa (Ti)\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"A. Bau\"}],\"total_actions\":{\"total_o\":\"601\",\"total_p\":\"2217\",\"total_voix\":\"\"}},\"reasoning\":\"Let me analyze the image carefully. This is a page from a shareholder meeting attendance register (assembl\u00e9e) for what appears to be a French company.\\n\\nThe table has columns:\\n- N\u00b0 D'ORDRE\\n- NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\n- ACTIONS (with sub-columns: ordinaires, privil\u00e9gi\u00e9es/priorit\u00e9)\\n- NOMBRE DE VOIX\\n- SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\n\\nLet me read each entry:\\n\\nEntry 1:\\n- N\u00b0: 1\\n- Name: M. BREHAM Alain\\n- Address: 45 Bd Charcot Neuilly s/Seine France\\n  Wait, let me look: \\\"45 Bd Charcot Neuilly s/Seine France\\\" - \\\"Neuilly s/Seine\\\" is Neuilly-sur-Seine\\n- Actions ordinaires: 179\\n- Actions privil\u00e9gi\u00e9es: 520\\n- Nombre de voix: 699\\n- Signature: A. Bau (present)\\n\\nEntry 2:\\n- N\u00b0: 2\\n- Name: M. BREHAM Marc\\n- Address: La Tuilerie / Saint-Nom la Bret\u00e8che (78) France\\n  The text says \\\"M. BREHAM Marc - La Tuilerie\\\" on first line, \\\"Saint-Nom la Bret\u00e8che (78) France\\\" on second.\\n  Wait, the dash between Marc and La Tuilerie - is it a visual splitting character between name and address? \\\"M. BREHAM Marc - La Tuilerie\\\" - the dash appears to be a separator between name and address. So Name = \\\"M. BREHAM Marc\\\", Address = \\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\". Note \\\"Saint-Nom\\\" has dashes that should be preserved.\\n- Actions ordinaires: 179\\n- Actions privil\u00e9gi\u00e9es: 520\\n- Nombre de voix: 699\\n- Signature: Tes. Bau / Ter. Bau (present)\\n\\nEntry 3:\\n- N\u00b0: 3\\n- Name: M. MASSON Daniel\\n- Address: 9 Rue de l'Orangerie Compi\u00e8gne (60) France\\n  Actually looking: \\\"9 Rue de l'orangerie Compi\u00e8gne (60)\\\" then \\\"France.\\\" on next line\\n- Actions ordinaires: 10\\n- Actions privil\u00e9gi\u00e9es: (blank)\\n- Nombre de voix: 10\\n- Signature: Marre Bau / Masse Bau (present)\\n\\nEntry 4:\\n- N\u00b0: 4\\n- Name: Compagnie Centrale Sicli (or SICLI)\\n- Address: 11bis Rue Balzac - Paris (8\u00b0)\\n- Actions ordinaires: 168\\n- Actions privil\u00e9gi\u00e9es: 822\\n- Nombre de voix: 990\\n- Signature: Tar Bau / Tas. Bau (present)\\n\\nEntry 5:\\n- N\u00b0: 5\\n- Name: Soci\u00e9t\u00e9 des Mines del Aurier (?) - hard to read. \\\"Soci\u00e9t\u00e9 ds Mines del Aurie...\\\" \\n  Looking at the context: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier?\\\" It might be \\\"Soci\u00e9t\u00e9 des Mines del Auriol\\\" or similar. Let me transcribe as best: \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e8re\\\" \u2014 actually the document filename is \\\"Se_18_Assembl\u00e9es_4_Bilanz1965\\\" and the company is Mines de Costano? The schema description says \\\"Mines de Costano S.A.\\\" but this page lists shareholders.\\n  The text: \\\"Soci\u00e9t\u00e9 ds Mines del aurinas\\\" maybe. I'll transcribe as \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" but it's uncertain. Let me look again: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\"? Given the schema says \\\"Mines de Costano\\\", but this entry says something like \\\"Soci\u00e9t\u00e9 des Mines del ...\\\" Could be \\\"Soci\u00e9t\u00e9 des Mines del Aurenque\\\"? I'll do best effort: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\" - Hmm. Actually it could read \\\"Soci\u00e9t\u00e9 ds Mines del Ami...\\\" Let me settle on \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9ras\\\" \u2014 no. I'll transcribe cautiously as \\\"Soci\u00e9t\u00e9 des Mines del Aurina\\\" \u2014 Actually, maybe it's \\\"Soci\u00e9t\u00e9 des Mines del Auzina\\\"? Best effort: \\\"Soci\u00e9t\u00e9 ds Mines del Auriens\\\". Given low confidence, I'll write what I see: \\\"Soci\u00e9t\u00e9 ds Mines del aurina\\\" with the abbreviation \\\"ds\\\" for \\\"des\\\".\\n  Let me reconsider: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" seems plausible.\\n- Address: 11bis Rue Balzac - Paris (8\u00b0)\\n- Actions ordinaires: 45\\n- Actions privil\u00e9gi\u00e9es: 355\\n- Nombre de voix: 400\\n- Signature: B. Hi (present)\\n\\nEntry 6:\\n- N\u00b0: 6\\n- Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises (or \\\"Soci\u00e9t\u00e9 de Recherche des Mini\u00e8res Fran\u00e7aises\\\") - text: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aise\\\" - first line reads \\\"Soci\u00e9t\u00e9 de Recherchel Mini\u00e8res Fran\u00e7aise\\\" \u2014 best: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n- Address: 11bis Rue Balzac - Paris (8\u00b0)\\n- Actions ordinaires: 10\\n- Actions privil\u00e9gi\u00e9es: (blank)\\n- Nombre de voix: 10\\n- Signature: A. Bau (present)\\n\\nEntry 7:\\n- N\u00b0: 7\\n- Name: M. le Professeur PANI Antonio (or RANI?)\\n  Text: \\\"M. le Professeur PANI Antonio\\\" \u2014 could be \\\"RANI\\\" or \\\"PANI\\\". Looking: \\\"M. le Professeur RANI Antonio\\\"? The letter looks like \\\"PANI\\\". I'll go with \\\"M. le Professeur PANI Antonio\\\".\\n- Address: Sessa (Ti) \u2014 \\\"Sessa (Ti)\\\" \u2014 Ti = Tessin/Ticino (Swiss canton). Text: \\\"Sessa (Ti)\\\"\\n- Actions ordinaires: 10\\n- Actions privil\u00e9gi\u00e9es: (blank)\\n- Nombre de voix: 10\\n- Signature: A. Bau (present)\\n\\nTotals at bottom: \\\"601\\\" and \\\"2217\\\" in the actions columns area. Total voix? Not shown clearly \u2014 only \\\"601\\\" and \\\"2217\\\" appear. The schema requires total_o, total_p, total_voix. If total_voix is not present, maybe empty string. Actually the totals row shows \\\"601\\\" under ordinaires and \\\"2217\\\" under privil\u00e9gi\u00e9es. There's no total voix visible. Wait \u2014 but actually, \\\"A REPORTER\\\" at bottom means \\\"to carry forward\\\". The totals: ordinaires 601, privil\u00e9gi\u00e9es 2217. Total voix would be 2818 but not written. I'll put empty string for total_voix or compute? Better to transcribe what's written: total_o = \\\"601\\\", total_p = \\\"2217\\\", total_voix = \\\"\\\" (not present).\\n\\nHmm, but let me double check: 179+179+10+168+45+10+10 = 601. Yes! Ordinaires = 601.\\n520+520+822+355 = 2217. Yes! Privil\u00e9gi\u00e9es = 2217.\\nVoix: 699+699+10+990+400+10+10 = 2818. Not written on page.\\n\\nSo total_voix is not written; I'll use empty string.\\n\\nNow the name/address split:\\n\\nEntry 1: \\\"M. BREHAM Alain\\\" / \\\"45 Bd Charcot Neuilly s/Seine France\\\"\\nThere is a period after \\\"Alain.\\\" - \\\"M. BREHAM. Alain.\\\" The address line: \\\"45 Bd Charcot Neuilly s/Seine France\\\". Hmm, \\\"Neuilly y/Seine\\\"? It's \\\"Neuilly s/Seine\\\" (sur-Seine). Text shows \\\"Neuilly 9/Seine\\\"? It's \\\"s/Seine\\\".\\n\\nEntry 2: \\\"M. BREHAM Marc\\\" - dash - \\\"La Tuilerie\\\" then new line \\\"Saint-Nom la Bret\u00e8che (78) France\\\". Remove the dash between name and address. Address: \\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\". Preserve dash in \\\"Saint-Nom\\\".\\n\\nEntry 3: \\\"M. MASSON Daniel\\\" / \\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\\nFrance.\\\"\\n\\nEntry 4: \\\"Compagnie Centrale Sicli\\\" / \\\"11bis Rue Balzac - Paris (8\u00b0)\\\". Hmm, is the dash between \\\"Balzac\\\" and \\\"Paris\\\" a visual splitter? The address itself is \\\"11bis Rue Balzac, Paris 8e\\\". The dash here is part of the address as written: \\\"11bis Rue Balzac - Paris (8\u00b0)\\\". The instruction says \\\"Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\" The dash between Balzac and Paris is within the address, so preserve it.\\n\\nEntry 5: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" (best effort) / \\\"11bis Rue Balzac - Paris (8\u00b0)\\\"\\n\\nEntry 6: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" / \\\"11bis Rue Balzac - Paris (8\u00b0)\\\"\\n\\nEntry 7: \\\"M. le Professeur PANI Antonio\\\" / \\\"Sessa (Ti)\\\"\\n\\nSignatures: entries 1, 2, 3, 4, 5, 6, 7 all have signatures. I'll transcribe best:\\n1: \\\"A. Bau\\\"\\n2: \\\"Ter. Bau\\\"\\n3: \\\"Marre Bau\\\" or \\\"Masse Bau\\\" \u2014 looks like \\\"Mane Bau\\\"? I'll write \\\"Masse Bau\\\". Hmm. It looks like \\\"Marre Bau\\\" or \\\"Mave Bau\\\". Best effort: \\\"Masse Bau\\\".\\n4: \\\"Tar Bau\\\" \u2014 looks like \\\"Tas Bau\\\" or \\\"Tar. Bau\\\"\\n5: \\\"B. Hi\\\" \u2014 looks like \\\"B. H\u00ed\\\" or \\\"B. Hi\\\". Could be \\\"B. He\\\". I'll write \\\"B. Hi\\\".\\n6: \\\"A. Bau\\\"\\n7: \\\"A. Bau\\\"\\n\\nActually the signatures might be initials of proxies (mandataires). Best-effort transcription.\\n\\nDocument: \\\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\\\"\\nPage: 7\\n\\nLet me reconsider entry 5 name. The schema description mentions \\\"Mines de Costano S.A.\\\" as the company. Entry 5: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\"? Given \\\"Costano\\\" context... Actually maybe entry 5 is \\\"Soci\u00e9t\u00e9 des Mines del Auriol\\\"? Or \\\"Soci\u00e9t\u00e9 des Mines de l'Auri\u00e9ge\\\"? Hmm. The handwritten text: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\". Looking at letter shapes: \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9ras\\\"? I think a safe transcription: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\" \u2014 no. Let me just write \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" as best effort.\\n\\nHmm, wait \u2014 maybe it's \\\"Soci\u00e9t\u00e9 des Mines del Amie...\\\"? The handwriting: \\\"del Aurier\\\" \u2014 there's a tall letter after \\\"Aur\\\" which could be \\\"i\\\" with dot... \\\"Aurier\\\". OK.\\n\\nActually, maybe \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\" \u2014 like \\\"Aurina\\\" valley? Val Aurina is in South Tyrol. Given the Prof. Pani Antonio from Sessa (Ticino), Italian/Swiss connections. \\\"Mines del Aurina\\\"? Possibly. I'll write \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\".\\n\\nHmm, but the last letter looks like \\\"s\\\" or \\\"e\\\". \\\"Aurinas\\\"? I'll go with \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\" \u2014 no, let me keep it simple: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\". \\n\\nActually, in these extraction tasks, best-effort transcription of the visible characters is expected. The text appears as: \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9ras\\\" \u2014 I can't be sure. I'll write \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" and note uncertainty is not possible in JSON; just give best effort.\\n\\nEntry 6: \\\"Soci\u00e9t\u00e9 de Recherche des Mini\u00e8res Fran\u00e7aises\\\"? The handwriting: \\\"Soci\u00e9t\u00e9 de Recherchel Mini\u00e8res Fran\u00e7aise\\\". Probably \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". First word after Recherche... the text: \\\"Soci\u00e9t\u00e9 de Recherchel Mini\u00e8res Fran\u00e7aise\\\" \u2014 likely \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". I'll transcribe: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\nEntry 7 name: \\\"M. le Professeur PANI Antonio\\\" \u2014 text \\\"M. le Professeur RANI Antonio\\\"? The capital letter could be P or R. \\\"PANI\\\" is an Italian surname (e.g., Antonio Pani). \\\"Pani\\\" is plausible. I'll write \\\"M. le Professeur PANI Antonio\\\".\\n\\nAddress: \\\"Sessa (Ti)\\\" \u2014 could be \\\"Sessa (Ti)\\\". Sessa is in Ticino (Ti). Good.\\n\\nEntry 3 address: \\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\" then \\\"France.\\\" \u2014 handwriting: \\\"g Rue de l'Orangerie Compi\u00e8gne (60)\\\" \u2014 9 Rue de l'Orangerie, Compi\u00e8gne (Oise, 60). Good.\\n\\nEntry 1: \\\"45 Bd Charcot Neuilly s/Seine France\\\" \u2014 handwriting: \\\"45 Bd Charcot Neuilly s/Seine France\\\". Boulevard Charcot is in Neuilly-sur-Seine. Good.\\n\\nNow format numbers as strings per schema.\\n\\nActions columns header: \\\"ordinaires\\\" and \\\"Priorit\u00e9\\\" (privil\u00e9gi\u00e9es). Schema: actions_o, actions_p.\\n\\nEntry data:\\n1: actions_o \\\"179\\\", actions_p \\\"520\\\", no_de_voix \\\"699\\\"\\n2: \\\"179\\\", \\\"520\\\", \\\"699\\\"\\n3: \\\"10\\\", \\\"\\\", \\\"10\\\"\\n4: \\\"168\\\", \\\"822\\\", \\\"990\\\"\\n5: \\\"45\\\", \\\"355\\\", \\\"400\\\"\\n6: \\\"10\\\", \\\"\\\", \\\"10\\\"\\n7: \\\"10\\\", \\\"\\\", \\\"10\\\"\\n\\nTotals: total_o \\\"601\\\", total_p \\\"2217\\\", total_voix \\\"\\\" \u2014 Hmm, should I compute 2818? The instruction says extract metadata. The total voix is not written on the page. Best to leave empty string since it's not present. But schema requires the field (string, can be empty). I'll use \\\"\\\".\\n\\nWait, actually maybe the \\\"601 2217\\\" is written in the actions columns as \\\"A REPORTER\\\" (to be carried over). Total voix not computed on page. Use \\\"\\\".\\n\\nSignatures present: true for all 7.\\n\\nSignature transcriptions: I'll give best-effort:\\n1: \\\"A. Bau\\\" \u2014 could be \\\"A. Baur\\\"? The writing \\\"A. Bau\\\" or \\\"A. Bar\\\". I'll use \\\"A. Bau\\\".\\n2: \\\"Ter. Bau\\\" \u2014 \\\"Tes. Bau\\\"? I'll use \\\"Ter. Bau\\\".\\n3: \\\"Masse Bau\\\" \u2014 hmm, \\\"Mane Bau\\\"? Use \\\"Masse Bau\\\".\\n4: \\\"Tar Bau\\\" \u2014 use \\\"Tar Bau\\\".\\n5: \\\"B. Hi\\\" \u2014 use \\\"B. Hi\\\".\\n6: \\\"A. Bau\\\"\\n7: \\\"A. Bau\\\"\\n\\nActually, these are probably signatures of the mandataire (proxy). They look like \\\"A. Bau\\\", \\\"Ter. Bau\\\", etc. Fine.\\n\\nName/address linebreak preservation: For entry 2, address has linebreak: \\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\". For entry 3: \\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\\nFrance.\\\" For others single line.\\n\\nFor name fields with linebreak? Entry names are on one line each. Entry 4 \\\"Compagnie Centrale Sicli\\\" one line. Entry 6 name spans one line (\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" is written across the first line). OK.\\n\\nFor entry 1 name: \\\"M. BREHAM Alain\\\" \u2014 text shows \\\"M. BREHAM. Alain.\\\" with periods. I'll transcribe \\\"M. BREHAM Alain\\\".\\n\\nLet me build the JSON.\\n\\nOne more check on entry 5: \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\" \u2014 I'll transcribe as written best: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\"? The ending looks like \\\"Aurinas\\\" or \\\"Aurier\\\". I'll go with \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" \u2014 hmm. Actually wait, maybe it reads \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9na\\\"? Let me just choose \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\".\\n\\nHmm, actually could it be \\\"Soci\u00e9t\u00e9 des Mines de l'Aurina\\\"? I'll keep the abbreviation \\\"ds\\\" as written: \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\".\\n\\nAlso entry 5 signature \\\"B. Hi\\\" could be \\\"B. H\u00e9\\\". Keep \\\"B. Hi\\\".\\n\\nFinal JSON structure:\\n\\n{\\n  \\\"document\\\": \\\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\\\",\\n  \\\"page_number\\\": 7,\\n  \\\"entries\\\": [ ... ],\\n  \\\"total_actions\\\": {\\\"total_o\\\": \\\"601\\\", \\\"total_p\\\": \\\"2217\\\", \\\"total_voix\\\": \\\"\\\"}\\n}\\n\\nRaw JSON without markdown.\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Let me analyze the image carefully. This is a page from a shareholder meeting attendance register (assembl\u00e9e) for what appears to be a French company.\\n\\nThe table has columns:\\n- N\u00b0 D'ORDRE\\n- NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\n- ACTIONS (with sub-columns: ordinaires, privil\u00e9gi\u00e9es/priorit\u00e9)\\n- NOMBRE DE VOIX\\n- SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\n\\nLet me read each entry:\\n\\nEntry 1:\\n- N\u00b0: 1\\n- Name: M. BREHAM Alain\\n- Address: 45 Bd Charcot Neuilly s/Seine France\\n  Wait, let me look: \\\"45 Bd Charcot Neuilly s/Seine France\\\" - \\\"Neuilly s/Seine\\\" is Neuilly-sur-Seine\\n- Actions ordinaires: 179\\n- Actions privil\u00e9gi\u00e9es: 520\\n- Nombre de voix: 699\\n- Signature: A. Bau (present)\\n\\nEntry 2:\\n- N\u00b0: 2\\n- Name: M. BREHAM Marc\\n- Address: La Tuilerie / Saint-Nom la Bret\u00e8che (78) France\\n  The text says \\\"M. BREHAM Marc - La Tuilerie\\\" on first line, \\\"Saint-Nom la Bret\u00e8che (78) France\\\" on second.\\n  Wait, the dash between Marc and La Tuilerie - is it a visual splitting character between name and address? \\\"M. BREHAM Marc - La Tuilerie\\\" - the dash appears to be a separator between name and address. So Name = \\\"M. BREHAM Marc\\\", Address = \\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\". Note \\\"Saint-Nom\\\" has dashes that should be preserved.\\n- Actions ordinaires: 179\\n- Actions privil\u00e9gi\u00e9es: 520\\n- Nombre de voix: 699\\n- Signature: Tes. Bau / Ter. Bau (present)\\n\\nEntry 3:\\n- N\u00b0: 3\\n- Name: M. MASSON Daniel\\n- Address: 9 Rue de l'Orangerie Compi\u00e8gne (60) France\\n  Actually looking: \\\"9 Rue de l'orangerie Compi\u00e8gne (60)\\\" then \\\"France.\\\" on next line\\n- Actions ordinaires: 10\\n- Actions privil\u00e9gi\u00e9es: (blank)\\n- Nombre de voix: 10\\n- Signature: Marre Bau / Masse Bau (present)\\n\\nEntry 4:\\n- N\u00b0: 4\\n- Name: Compagnie Centrale Sicli (or SICLI)\\n- Address: 11bis Rue Balzac - Paris (8\u00b0)\\n- Actions ordinaires: 168\\n- Actions privil\u00e9gi\u00e9es: 822\\n- Nombre de voix: 990\\n- Signature: Tar Bau / Tas. Bau (present)\\n\\nEntry 5:\\n- N\u00b0: 5\\n- Name: Soci\u00e9t\u00e9 des Mines del Aurier (?) - hard to read. \\\"Soci\u00e9t\u00e9 ds Mines del Aurie...\\\" \\n  Looking at the context: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier?\\\" It might be \\\"Soci\u00e9t\u00e9 des Mines del Auriol\\\" or similar. Let me transcribe as best: \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e8re\\\" \u2014 actually the document filename is \\\"Se_18_Assembl\u00e9es_4_Bilanz1965\\\" and the company is Mines de Costano? The schema description says \\\"Mines de Costano S.A.\\\" but this page lists shareholders.\\n  The text: \\\"Soci\u00e9t\u00e9 ds Mines del aurinas\\\" maybe. I'll transcribe as \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" but it's uncertain. Let me look again: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\"? Given the schema says \\\"Mines de Costano\\\", but this entry says something like \\\"Soci\u00e9t\u00e9 des Mines del ...\\\" Could be \\\"Soci\u00e9t\u00e9 des Mines del Aurenque\\\"? I'll do best effort: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\" - Hmm. Actually it could read \\\"Soci\u00e9t\u00e9 ds Mines del Ami...\\\" Let me settle on \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9ras\\\" \u2014 no. I'll transcribe cautiously as \\\"Soci\u00e9t\u00e9 des Mines del Aurina\\\" \u2014 Actually, maybe it's \\\"Soci\u00e9t\u00e9 des Mines del Auzina\\\"? Best effort: \\\"Soci\u00e9t\u00e9 ds Mines del Auriens\\\". Given low confidence, I'll write what I see: \\\"Soci\u00e9t\u00e9 ds Mines del aurina\\\" with the abbreviation \\\"ds\\\" for \\\"des\\\".\\n  Let me reconsider: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" seems plausible.\\n- Address: 11bis Rue Balzac - Paris (8\u00b0)\\n- Actions ordinaires: 45\\n- Actions privil\u00e9gi\u00e9es: 355\\n- Nombre de voix: 400\\n- Signature: B. Hi (present)\\n\\nEntry 6:\\n- N\u00b0: 6\\n- Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises (or \\\"Soci\u00e9t\u00e9 de Recherche des Mini\u00e8res Fran\u00e7aises\\\") - text: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aise\\\" - first line reads \\\"Soci\u00e9t\u00e9 de Recherchel Mini\u00e8res Fran\u00e7aise\\\" \u2014 best: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n- Address: 11bis Rue Balzac - Paris (8\u00b0)\\n- Actions ordinaires: 10\\n- Actions privil\u00e9gi\u00e9es: (blank)\\n- Nombre de voix: 10\\n- Signature: A. Bau (present)\\n\\nEntry 7:\\n- N\u00b0: 7\\n- Name: M. le Professeur PANI Antonio (or RANI?)\\n  Text: \\\"M. le Professeur PANI Antonio\\\" \u2014 could be \\\"RANI\\\" or \\\"PANI\\\". Looking: \\\"M. le Professeur RANI Antonio\\\"? The letter looks like \\\"PANI\\\". I'll go with \\\"M. le Professeur PANI Antonio\\\".\\n- Address: Sessa (Ti) \u2014 \\\"Sessa (Ti)\\\" \u2014 Ti = Tessin/Ticino (Swiss canton). Text: \\\"Sessa (Ti)\\\"\\n- Actions ordinaires: 10\\n- Actions privil\u00e9gi\u00e9es: (blank)\\n- Nombre de voix: 10\\n- Signature: A. Bau (present)\\n\\nTotals at bottom: \\\"601\\\" and \\\"2217\\\" in the actions columns area. Total voix? Not shown clearly \u2014 only \\\"601\\\" and \\\"2217\\\" appear. The schema requires total_o, total_p, total_voix. If total_voix is not present, maybe empty string. Actually the totals row shows \\\"601\\\" under ordinaires and \\\"2217\\\" under privil\u00e9gi\u00e9es. There's no total voix visible. Wait \u2014 but actually, \\\"A REPORTER\\\" at bottom means \\\"to carry forward\\\". The totals: ordinaires 601, privil\u00e9gi\u00e9es 2217. Total voix would be 2818 but not written. I'll put empty string for total_voix or compute? Better to transcribe what's written: total_o = \\\"601\\\", total_p = \\\"2217\\\", total_voix = \\\"\\\" (not present).\\n\\nHmm, but let me double check: 179+179+10+168+45+10+10 = 601. Yes! Ordinaires = 601.\\n520+520+822+355 = 2217. Yes! Privil\u00e9gi\u00e9es = 2217.\\nVoix: 699+699+10+990+400+10+10 = 2818. Not written on page.\\n\\nSo total_voix is not written; I'll use empty string.\\n\\nNow the name/address split:\\n\\nEntry 1: \\\"M. BREHAM Alain\\\" / \\\"45 Bd Charcot Neuilly s/Seine France\\\"\\nThere is a period after \\\"Alain.\\\" - \\\"M. BREHAM. Alain.\\\" The address line: \\\"45 Bd Charcot Neuilly s/Seine France\\\". Hmm, \\\"Neuilly y/Seine\\\"? It's \\\"Neuilly s/Seine\\\" (sur-Seine). Text shows \\\"Neuilly 9/Seine\\\"? It's \\\"s/Seine\\\".\\n\\nEntry 2: \\\"M. BREHAM Marc\\\" - dash - \\\"La Tuilerie\\\" then new line \\\"Saint-Nom la Bret\u00e8che (78) France\\\". Remove the dash between name and address. Address: \\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\". Preserve dash in \\\"Saint-Nom\\\".\\n\\nEntry 3: \\\"M. MASSON Daniel\\\" / \\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\\nFrance.\\\"\\n\\nEntry 4: \\\"Compagnie Centrale Sicli\\\" / \\\"11bis Rue Balzac - Paris (8\u00b0)\\\". Hmm, is the dash between \\\"Balzac\\\" and \\\"Paris\\\" a visual splitter? The address itself is \\\"11bis Rue Balzac, Paris 8e\\\". The dash here is part of the address as written: \\\"11bis Rue Balzac - Paris (8\u00b0)\\\". The instruction says \\\"Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\" The dash between Balzac and Paris is within the address, so preserve it.\\n\\nEntry 5: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" (best effort) / \\\"11bis Rue Balzac - Paris (8\u00b0)\\\"\\n\\nEntry 6: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" / \\\"11bis Rue Balzac - Paris (8\u00b0)\\\"\\n\\nEntry 7: \\\"M. le Professeur PANI Antonio\\\" / \\\"Sessa (Ti)\\\"\\n\\nSignatures: entries 1, 2, 3, 4, 5, 6, 7 all have signatures. I'll transcribe best:\\n1: \\\"A. Bau\\\"\\n2: \\\"Ter. Bau\\\"\\n3: \\\"Marre Bau\\\" or \\\"Masse Bau\\\" \u2014 looks like \\\"Mane Bau\\\"? I'll write \\\"Masse Bau\\\". Hmm. It looks like \\\"Marre Bau\\\" or \\\"Mave Bau\\\". Best effort: \\\"Masse Bau\\\".\\n4: \\\"Tar Bau\\\" \u2014 looks like \\\"Tas Bau\\\" or \\\"Tar. Bau\\\"\\n5: \\\"B. Hi\\\" \u2014 looks like \\\"B. H\u00ed\\\" or \\\"B. Hi\\\". Could be \\\"B. He\\\". I'll write \\\"B. Hi\\\".\\n6: \\\"A. Bau\\\"\\n7: \\\"A. Bau\\\"\\n\\nActually the signatures might be initials of proxies (mandataires). Best-effort transcription.\\n\\nDocument: \\\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\\\"\\nPage: 7\\n\\nLet me reconsider entry 5 name. The schema description mentions \\\"Mines de Costano S.A.\\\" as the company. Entry 5: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\"? Given \\\"Costano\\\" context... Actually maybe entry 5 is \\\"Soci\u00e9t\u00e9 des Mines del Auriol\\\"? Or \\\"Soci\u00e9t\u00e9 des Mines de l'Auri\u00e9ge\\\"? Hmm. The handwritten text: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\". Looking at letter shapes: \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9ras\\\"? I think a safe transcription: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\" \u2014 no. Let me just write \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" as best effort.\\n\\nHmm, wait \u2014 maybe it's \\\"Soci\u00e9t\u00e9 des Mines del Amie...\\\"? The handwriting: \\\"del Aurier\\\" \u2014 there's a tall letter after \\\"Aur\\\" which could be \\\"i\\\" with dot... \\\"Aurier\\\". OK.\\n\\nActually, maybe \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\" \u2014 like \\\"Aurina\\\" valley? Val Aurina is in South Tyrol. Given the Prof. Pani Antonio from Sessa (Ticino), Italian/Swiss connections. \\\"Mines del Aurina\\\"? Possibly. I'll write \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\".\\n\\nHmm, but the last letter looks like \\\"s\\\" or \\\"e\\\". \\\"Aurinas\\\"? I'll go with \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\" \u2014 no, let me keep it simple: \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\". \\n\\nActually, in these extraction tasks, best-effort transcription of the visible characters is expected. The text appears as: \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9ras\\\" \u2014 I can't be sure. I'll write \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" and note uncertainty is not possible in JSON; just give best effort.\\n\\nEntry 6: \\\"Soci\u00e9t\u00e9 de Recherche des Mini\u00e8res Fran\u00e7aises\\\"? The handwriting: \\\"Soci\u00e9t\u00e9 de Recherchel Mini\u00e8res Fran\u00e7aise\\\". Probably \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". First word after Recherche... the text: \\\"Soci\u00e9t\u00e9 de Recherchel Mini\u00e8res Fran\u00e7aise\\\" \u2014 likely \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". I'll transcribe: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\nEntry 7 name: \\\"M. le Professeur PANI Antonio\\\" \u2014 text \\\"M. le Professeur RANI Antonio\\\"? The capital letter could be P or R. \\\"PANI\\\" is an Italian surname (e.g., Antonio Pani). \\\"Pani\\\" is plausible. I'll write \\\"M. le Professeur PANI Antonio\\\".\\n\\nAddress: \\\"Sessa (Ti)\\\" \u2014 could be \\\"Sessa (Ti)\\\". Sessa is in Ticino (Ti). Good.\\n\\nEntry 3 address: \\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\" then \\\"France.\\\" \u2014 handwriting: \\\"g Rue de l'Orangerie Compi\u00e8gne (60)\\\" \u2014 9 Rue de l'Orangerie, Compi\u00e8gne (Oise, 60). Good.\\n\\nEntry 1: \\\"45 Bd Charcot Neuilly s/Seine France\\\" \u2014 handwriting: \\\"45 Bd Charcot Neuilly s/Seine France\\\". Boulevard Charcot is in Neuilly-sur-Seine. Good.\\n\\nNow format numbers as strings per schema.\\n\\nActions columns header: \\\"ordinaires\\\" and \\\"Priorit\u00e9\\\" (privil\u00e9gi\u00e9es). Schema: actions_o, actions_p.\\n\\nEntry data:\\n1: actions_o \\\"179\\\", actions_p \\\"520\\\", no_de_voix \\\"699\\\"\\n2: \\\"179\\\", \\\"520\\\", \\\"699\\\"\\n3: \\\"10\\\", \\\"\\\", \\\"10\\\"\\n4: \\\"168\\\", \\\"822\\\", \\\"990\\\"\\n5: \\\"45\\\", \\\"355\\\", \\\"400\\\"\\n6: \\\"10\\\", \\\"\\\", \\\"10\\\"\\n7: \\\"10\\\", \\\"\\\", \\\"10\\\"\\n\\nTotals: total_o \\\"601\\\", total_p \\\"2217\\\", total_voix \\\"\\\" \u2014 Hmm, should I compute 2818? The instruction says extract metadata. The total voix is not written on the page. Best to leave empty string since it's not present. But schema requires the field (string, can be empty). I'll use \\\"\\\".\\n\\nWait, actually maybe the \\\"601 2217\\\" is written in the actions columns as \\\"A REPORTER\\\" (to be carried over). Total voix not computed on page. Use \\\"\\\".\\n\\nSignatures present: true for all 7.\\n\\nSignature transcriptions: I'll give best-effort:\\n1: \\\"A. Bau\\\" \u2014 could be \\\"A. Baur\\\"? The writing \\\"A. Bau\\\" or \\\"A. Bar\\\". I'll use \\\"A. Bau\\\".\\n2: \\\"Ter. Bau\\\" \u2014 \\\"Tes. Bau\\\"? I'll use \\\"Ter. Bau\\\".\\n3: \\\"Masse Bau\\\" \u2014 hmm, \\\"Mane Bau\\\"? Use \\\"Masse Bau\\\".\\n4: \\\"Tar Bau\\\" \u2014 use \\\"Tar Bau\\\".\\n5: \\\"B. Hi\\\" \u2014 use \\\"B. Hi\\\".\\n6: \\\"A. Bau\\\"\\n7: \\\"A. Bau\\\"\\n\\nActually, these are probably signatures of the mandataire (proxy). They look like \\\"A. Bau\\\", \\\"Ter. Bau\\\", etc. Fine.\\n\\nName/address linebreak preservation: For entry 2, address has linebreak: \\\"La Tuilerie\\\\nSaint-Nom la Bret\u00e8che (78) France\\\". For entry 3: \\\"9 Rue de l'Orangerie Compi\u00e8gne (60)\\\\nFrance.\\\" For others single line.\\n\\nFor name fields with linebreak? Entry names are on one line each. Entry 4 \\\"Compagnie Centrale Sicli\\\" one line. Entry 6 name spans one line (\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" is written across the first line). OK.\\n\\nFor entry 1 name: \\\"M. BREHAM Alain\\\" \u2014 text shows \\\"M. BREHAM. Alain.\\\" with periods. I'll transcribe \\\"M. BREHAM Alain\\\".\\n\\nLet me build the JSON.\\n\\nOne more check on entry 5: \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\" \u2014 I'll transcribe as written best: \\\"Soci\u00e9t\u00e9 ds Mines del Aurinas\\\"? The ending looks like \\\"Aurinas\\\" or \\\"Aurier\\\". I'll go with \\\"Soci\u00e9t\u00e9 ds Mines del Aurier\\\" \u2014 hmm. Actually wait, maybe it reads \\\"Soci\u00e9t\u00e9 ds Mines del Auri\u00e9na\\\"? Let me just choose \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\".\\n\\nHmm, actually could it be \\\"Soci\u00e9t\u00e9 des Mines de l'Aurina\\\"? I'll keep the abbreviation \\\"ds\\\" as written: \\\"Soci\u00e9t\u00e9 ds Mines del Aurina\\\".\\n\\nAlso entry 5 signature \\\"B. Hi\\\" could be \\\"B. H\u00e9\\\". Keep \\\"B. 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The table has columns for Order Number, Name/Address, Actions (O and P), Number of Votes, and Signatures. 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Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "", "model": "qwen/qwen3.5-397b-a17b-20260216", "provider": "openrouter", "finish_reason": "error", "usage": {"input_tokens": 1584, "output_tokens": 798, "total_tokens": 2382, "input_cost_usd": 0.00061776, "output_cost_usd": 0.0018673199999999998, "estimated_cost_usd": 0.0024850799999999998}, "duration": 356.05915331840515, "timestamp": "2026-07-03T10:11:26.248227", "conversation_id": "8c90875b-8e39-4277-a8f6-19e716b0df3d", "score": {"fuzzy": 0.0}, "raw_response": "{\"id\":\"gen-1783065930-Uah7lnYQTDvQTTuVyqzG\",\"choices\":[{\"finish_reason\":\"error\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":null,\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":null,\"reasoning\":\"The user wants me to extract metadata from a historical document image.\\nThe document is a list of shareholders (actionnaires) with their names, addresses, and share counts.\\nI need to parse the table rows.\\nThe columns are:\\n1.  N\u00b0 D'ORDRE (Order Number)\\n2.  NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name, First Names, and Domicile of Shareholders) - This is the tricky one. I need to split Name and Address.\\n3.  ACTIONS (Shares) - split into 'de priorit\u00e9' (preferred) and 'ordinaire' (ordinary).\\n4.  NOMBRE DE VOIX (Number of Votes)\\n5.  SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature)\\n\\nLet's go row by row based on the visible numbers (21 to 30).\\n\\n**Row 21:**\\n- Order: 21\\n- Raw Text: M.de la FONTAINE Lionel / Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA (Note: The dash in MARRAKECH-MEDINA is part of the address, keep it. The line break is preserved).\\n- Actions: (Empty in this row, likely carried over or blank, wait, looking at the top \\\"REPORT\\\" row, there are numbers 2403 and 556. But for row 21 specifically, there is a '2' in the 'ordinaire' column? No, looking closely at row 21, there is a '2' in the 'ordinaire' column. Wait, let me re-examine.\\n- Actually, looking at the layout:\\n    - Top row: \\\"REPORT\\\" with 2403 (priorit\u00e9) and 556 (ordinaire).\\n    - Row 21: \\\"M.de la FONTAINE Lionel\\\". Under \\\"ordinaire\\\" column, there is a faint '2'.\\n    - Row 22: \\\"M.LAUMAIN Robert\\\". Under \\\"ordinaire\\\", there is a '1'. Signature: \\\"Aut. Paul\\\" (looks like \\\"Au torisation Paul\\\" or similar proxy).\\n    - Row 23: \\\"Suc.LHOEST Paul (Mme)\\\". Under \\\"priorit\u00e9\\\" (left sub-column), there is '150'. Address: \\\"1, rue J.B.Colyns IXELLES-BRUXELLES.\\\"\\n    - Row 24: \\\"M.MASSON Daniel\\\". Under \\\"ordinaire\\\", '10'. Address: \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\". Signature: \\\"Aut. Paul\\\".\\n    - Row 25: \\\"M. PANI Antonio\\\". Under \\\"priorit\u00e9\\\" '1', \\\"ordinaire\\\" '10'. Address: \\\"SESSA (Tessin) Suisse\\\". Signature: \\\"Aut. Paul\\\".\\n    - Row 26: \\\"M. POUQUET Maurice\\\". Under \\\"ordinaire\\\" '1'. Address: \\\"Essendi\u00e8ras, par St M\u00e9dard d'Excisuil (Dordogne)\\\".\\n    - Row 27: \\\"Mme RAOULT Suzanne\\\". Under \\\"ordinaire\\\" '10'. Address: \\\"195 rue de Grenelle PARIS\\\".\\n    - Row 28: \\\"Suc.RICHOMME de POSSON (Mme)\\\". Under \\\"ordinaire\\\" '38'. Address: \\\"37bis Promenade des Anglais NICE (A-M)\\\".\\n    - Row 29: \\\"Mme SAVAEY M.L.\\\". Under \\\"ordinaire\\\" '10'. Address: \\\"5, Avenue Weber GENEVE (Suisse)\\\".\\n    - Row 30: \\\"M. SCHERESCHWESKY Philippe\\\". Under \\\"ordinaire\\\" '1'. Address: \\\"34, Bd Marbeau PARIS (16\u00b0)\\\".\\n\\n**Refining the Name/Address Split:**\\nThe prompt says: \\\"Lose any dashes between name and address but preserve linebreaks.\\\" and \\\"Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\"\\nLooking at the image, there aren't explicit dashes separating name and address, just line breaks. The text is typewritten.\\nWait, let's look at Row 21. \\\"M.de la FONTAINE Lionel\\\" is on one line. \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\" is on the next lines.\\nRow 23: \\\"Suc.LHOEST Paul\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract metadata from a historical document image.\\nThe document is a list of shareholders (actionnaires) with their names, addresses, and share counts.\\nI need to parse the table rows.\\nThe columns are:\\n1.  N\u00b0 D'ORDRE (Order Number)\\n2.  NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name, First Names, and Domicile of Shareholders) - This is the tricky one. I need to split Name and Address.\\n3.  ACTIONS (Shares) - split into 'de priorit\u00e9' (preferred) and 'ordinaire' (ordinary).\\n4.  NOMBRE DE VOIX (Number of Votes)\\n5.  SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature)\\n\\nLet's go row by row based on the visible numbers (21 to 30).\\n\\n**Row 21:**\\n- Order: 21\\n- Raw Text: M.de la FONTAINE Lionel / Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA (Note: The dash in MARRAKECH-MEDINA is part of the address, keep it. The line break is preserved).\\n- Actions: (Empty in this row, likely carried over or blank, wait, looking at the top \\\"REPORT\\\" row, there are numbers 2403 and 556. But for row 21 specifically, there is a '2' in the 'ordinaire' column? No, looking closely at row 21, there is a '2' in the 'ordinaire' column. Wait, let me re-examine.\\n- Actually, looking at the layout:\\n    - Top row: \\\"REPORT\\\" with 2403 (priorit\u00e9) and 556 (ordinaire).\\n    - Row 21: \\\"M.de la FONTAINE Lionel\\\". Under \\\"ordinaire\\\" column, there is a faint '2'.\\n    - Row 22: \\\"M.LAUMAIN Robert\\\". Under \\\"ordinaire\\\", there is a '1'. Signature: \\\"Aut. Paul\\\" (looks like \\\"Au torisation Paul\\\" or similar proxy).\\n    - Row 23: \\\"Suc.LHOEST Paul (Mme)\\\". Under \\\"priorit\u00e9\\\" (left sub-column), there is '150'. Address: \\\"1, rue J.B.Colyns IXELLES-BRUXELLES.\\\"\\n    - Row 24: \\\"M.MASSON Daniel\\\". Under \\\"ordinaire\\\", '10'. Address: \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\". Signature: \\\"Aut. Paul\\\".\\n    - Row 25: \\\"M. PANI Antonio\\\". Under \\\"priorit\u00e9\\\" '1', \\\"ordinaire\\\" '10'. Address: \\\"SESSA (Tessin) Suisse\\\". Signature: \\\"Aut. Paul\\\".\\n    - Row 26: \\\"M. POUQUET Maurice\\\". Under \\\"ordinaire\\\" '1'. Address: \\\"Essendi\u00e8ras, par St M\u00e9dard d'Excisuil (Dordogne)\\\".\\n    - Row 27: \\\"Mme RAOULT Suzanne\\\". Under \\\"ordinaire\\\" '10'. Address: \\\"195 rue de Grenelle PARIS\\\".\\n    - Row 28: \\\"Suc.RICHOMME de POSSON (Mme)\\\". Under \\\"ordinaire\\\" '38'. Address: \\\"37bis Promenade des Anglais NICE (A-M)\\\".\\n    - Row 29: \\\"Mme SAVAEY M.L.\\\". Under \\\"ordinaire\\\" '10'. Address: \\\"5, Avenue Weber GENEVE (Suisse)\\\".\\n    - Row 30: \\\"M. SCHERESCHWESKY Philippe\\\". Under \\\"ordinaire\\\" '1'. Address: \\\"34, Bd Marbeau PARIS (16\u00b0)\\\".\\n\\n**Refining the Name/Address Split:**\\nThe prompt says: \\\"Lose any dashes between name and address but preserve linebreaks.\\\" and \\\"Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\"\\nLooking at the image, there aren't explicit dashes separating name and address, just line breaks. The text is typewritten.\\nWait, let's look at Row 21. \\\"M.de la FONTAINE Lionel\\\" is on one line. \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\" is on the next lines.\\nRow 23: \\\"Suc.LHOEST Paul\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":null,\"error\":{\"code\":504,\"message\":\"Upstream idle timeout exceeded\",\"metadata\":{\"error_type\":\"timeout\"}}}],\"created\":1783065930,\"model\":\"qwen/qwen3.5-397b-a17b-20260216\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":798,\"prompt_tokens\":1584,\"total_tokens\":2382,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":798,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00256494,\"upstream_inference_prompt_cost\":0.00060984,\"upstream_inference_completions_cost\":0.0019551}},\"provider\":\"DigitalOcean\"}"}, "scoring": {"fuzzy": 0.4477181781641575, "cost_summary": {"total_input_tokens": 21052, "total_output_tokens": 36094, "total_tokens": 57146, "input_cost_usd": 0.00821028, "output_cost_usd": 0.08445996, "total_cost_usd": 0.09267023999999999}}, "normalized_score": 44.77181781641575}, {"_id": {"$oid": "6a8456c1ef0a19c343227c1b"}, "test_id": "T1268", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "openrouter", "model": "qwen/qwen3.5-plus-02-15", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_18_Bilanz1967_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"Mr Alain BREHAM (Cabinet D. FEAU\",\"address\":\"132 Boulevard Haussmann - 75 / PARIS 8\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"2\",\"name\":\"Mr Marc BREHAM - La Tuilerie\",\"address\":\"78/St-Nom la Bret\u00e8che\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"3\",\"name\":\"COMPAGNIE CENTRALE SICLI\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"4\",\"name\":\"St\u00e9 DES MINES DE L'AURIERAS\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"5\",\"name\":\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"6\",\"name\":\"Mr PANI Antonio\",\"address\":\"SESSA (Tessin) Suisse\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"7\",\"name\":\"Mr MASSON Daniel - Villa La Cava\",\"address\":\"Avenue de la Cava - 06 / CANNES\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"601\",\"total_p\":\"2217\",\"total_voix\":\"2818\"}}", "model": "qwen/qwen3.5-plus-20260216", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 3107, "output_tokens": 1547, "total_tokens": 4654, "input_cost_usd": 0.00080782, "output_cost_usd": 0.00241332, "estimated_cost_usd": 0.00322114}, "duration": 32.3949978351593, "timestamp": "2026-07-03T11:49:10.141351", "parsed": {"document": "Se_18_Bilanz1967_page_4", "page_number": 4, "entries": [{"number": "1", "name": "Mr Alain BREHAM (Cabinet D. 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FEAU\\\",\\n      \\\"address\\\": \\\"132 Boulevard Haussmann - 75 / PARIS 8\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"Mr Marc BREHAM - La Tuilerie\\\",\\n      \\\"address\\\": \\\"78/St-Nom la Bret\u00e8che\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"COMPAGNIE CENTRALE SICLI\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"168\\\",\\n      \\\"actions_p\\\": \\\"822\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"St\u00e9 DES MINES DE L'AURIERAS\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"45\\\",\\n      \\\"actions_p\\\": \\\"355\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Mr PANI Antonio\\\",\\n      \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Mr MASSON Daniel - Villa La Cava\\\",\\n      \\\"address\\\": \\\"Avenue de la Cava - 06 / CANNES\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"601\\\",\\n    \\\"total_p\\\": \\\"2217\\\",\\n    \\\"total_voix\\\": \\\"2818\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_18_Bilanz1967_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"Mr Alain BREHAM (Cabinet D. 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FEAU\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"number\\\": \\\"I\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    },\\n    {\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"address\\\": \\\"La Tuilerie - 78/St-Nom la Bret@che\\\",\\n      \\\"name\\\": \\\"Mr Marc BREHAM\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    },\\n    {\\n      \\\"actions_o\\\": \\\"168\\\",\\n      \\\"actions_p\\\": \\\"822\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"name\\\": \\\"COMPAGNIE CENTRALE SICLI\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\",\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    },\\n    {\\n      \\\"actions_o\\\": \\\"45\\\",\\n      \\\"actions_p\\\": \\\"355\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"name\\\": \\\"St\u00e9 DES MINES DE L'AURIERAS\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\",\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    },\\n    {\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"name\\\": \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    },\\n    {\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n      \\\"name\\\": \\\"Mr PANI Antonio\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    },\\n    {\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"address\\\": \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\",\\n      \\\"name\\\": \\\"Mr MASSON Daniel\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"signature_present\\\": false\\n    }\\n  ],\\n  \\\"page_number\\\": 4,\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"601\\\",\\n    \\\"total_p\\\": \\\"2247\\\",\\n    \\\"total_voix\\\": \\\"2818\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_18_Bilanz1967_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"I\",\"name\":\"Mr Alain BREHAM (Cabinet D. FEAU\",\"address\":\"I32 Boulevard Haussmann - 75 / PARIS 8\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"2\",\"name\":\"Mr Marc BREHAM\",\"address\":\"La Tuilerie - 78/St-Nom la Bret@che\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"3\",\"name\":\"COMPAGNIE CENTRALE SICLI\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"4\",\"name\":\"St\u00e9 DES MINES DE L'AURIERAS\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"5\",\"name\":\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\",\"address\":\"II bis rue Balzac - 75 / PARIS 8e\",\"actions_o\":\"10\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"6\",\"name\":\"Mr PANI Antonio\",\"address\":\"SESSA (Tessin) Suisse\",\"actions_o\":\"10\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"7\",\"name\":\"Mr MASSON Daniel\",\"address\":\"Villa La Cava Avenue de la Cava - 06 / CANNES\",\"actions_o\":\"10\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"601\",\"total_p\":\"2247\",\"total_voix\":\"2818\"}},\"reasoning\":\"let's see. I need to extract the metadata from this meeting minutes image and format it according to the provided JSON schema. The user mentioned that the Name and Address are in the same table field but need to be split into separate fields. Also, I have to remove any dashes between name and address but keep the line breaks. Addresses with multiple dashes should keep them, only remove visual splitting characters.\\n\\nFirst, I'll look at the image. The table has columns: N\u00b0 d'ordre, NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES, ACTIONS Ordinaires, de Priorit\u00e9, NOMBRE DE VOIX, SIGNATURE.\\n\\nEach row corresponds to an entry. The first row is entry 1: Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8. Wait, the address here is split between two lines. The name part is \\\"Mr Alain BREHAM (Cabinet D. FEAU -\\\", then the address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But the user says to split Name and Address into separate fields, so the name should be \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and the address \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But the instruction says to lose dashes between name and address, but preserve line breaks. Wait, the original table has a dash between the name and address parts. For example, in entry 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\". The problem says to remove dashes between name and address, so the name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and the address starts with \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But wait, the user says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So perhaps the dash that's between the name and address (like the \\\"-\\\") should be removed, but internal dashes in the address should stay. For example, in entry 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\" becomes \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" as name and \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\" as address. But the user says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So the dash that's splitting name and address is removed, but the dashes in the address are kept. So in entry 1, the name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", and the address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". Here, the name is \\\"Mr Marc BREHAM\\\", and the address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". Wait, but the original table has the name as \\\"Mr Marc BREHAM - La Tuilerie -\\\", so the name part is \\\"Mr Marc BREHAM\\\", and the address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". So the dash after the name is removed, so name becomes \\\"Mr Marc BREHAM\\\", address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nWait, but the instruction says: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\"\\n\\nSo the table field has the name followed by address, with a dash (or some visual splitting character) between them. We need to split them, so the name is before the dash, address after, but remove the dash.\\n\\nFor example, in entry 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\" becomes name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\" becomes name: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nWait, but the user says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So perhaps the dash that's separating name and address is removed, but internal dashes in the address are kept.\\n\\nNow, looking at the entries:\\n\\nEntry 1:\\nName: Mr Alain BREHAM (Cabinet D. FEAU\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nBut wait, in the image, the first entry's name field is \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\". The \\\"- \\\" is the separator between name and address, so we need to split them there.\\n\\nBut in entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". Here, the name is \\\"Mr Marc BREHAM\\\", and address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". So the \\\"- \\\" is part of the address, but the separator is the dash after the name. So we need to remove the dash after the name, but keep the dashes in the address.\\n\\nWait, the problem states: \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So the dashes that are between name and address (the visual splitting characters) should be removed. So for example, if the name is \\\"Mr X - Y\\\", then \\\"Mr X\\\" is name, \\\"Y\\\" is address. But in the case where the address has dashes, like \\\"La Tuilerie - 78...\\\", those dashes are part of the address and should be preserved.\\n\\nSo in entry 2, the original text is \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". The separator here is the dash after \\\"BREHAM\\\", so the name is \\\"Mr Marc BREHAM\\\", and the address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". The dashes in the address are kept.\\n\\nSimilarly, entry 3: \\\"COMPAGNIE CENTRALE SICLI\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\". The name is \\\"COMPAGNIE CENTRALE SICLI\\\", address is \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 4: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\". So name: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 5: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\". Same as above.\\n\\nEntry 6: \\\"Mr PANI Antonio\\\" followed by \\\"SESSA (Tessin) Suisse\\\". So name: \\\"Mr PANI Antonio\\\", address: \\\"SESSA (Tessin) Suisse\\\".\\n\\nEntry 7: \\\"Mr MASSON Daniel - Villa La Cava\\\" followed by \\\"Avenue de la Cava - 06 / CANNES\\\". So name: \\\"Mr MASSON Daniel\\\", address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\"? Wait, original text for entry 7: \\\"Mr MASSON Daniel - Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Wait, the image shows: \\\"Mr MASSON Daniel - Villa La Cava Avenue de la Cava - 06 / CANNES\\\". So the separator is the dash after \\\"Daniel\\\", so name is \\\"Mr MASSON Daniel\\\", address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nWait, looking at the image:\\n\\nEntry 7:\\n\\nN\u00b0: 7\\n\\nName field: \\\"Mr MASSON Daniel - Villa La Cava\\\"\\n\\nAddress field: \\\"Avenue de la Cava - 06 / CANNES\\\"\\n\\nWait, no. The table has two rows for each entry? Wait, the image shows that each entry spans two rows. For example, entry 1 has:\\n\\nFirst row: \\\"I\\\" in the N\u00b0 column, then \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\" as the name/address.\\n\\nWait, maybe the structure is that the name and address are split across two rows for each entry. Wait, looking at the image:\\n\\nThe columns are:\\n\\nN\u00b0 d'ordre | NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES | ACTIONS Ordinaires | de Priorit\u00e9 | NOMBRE DE VOIX | SIGNATURE\\n\\nFor entry 1:\\n\\nRow 1: I | Mr Alain BREHAM (Cabinet D. FEAU - | I79 | 520 | 699\\n\\nRow 2: | I32 Boulevard Haussmann - 75 / PARIS 8 | | | |\\n\\nWait, perhaps the \\\"NOM, PR\u00c9NOMS ET DOMICILE\\\" column is split into two parts: first line is the name, second line is the address. So for entry 1:\\n\\nName: Mr Alain BREHAM (Cabinet D. FEAU\\n\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nSimilarly, entry 2:\\n\\nName: Mr Marc BREHAM\\n\\nAddress: La Tuilerie - 78/St-Nom la Bret@che\\n\\nWait, but the image shows:\\n\\nRow 2 for entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\"\\n\\nWait, the N\u00b0 d'ordre is 2, then the name/address column has \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". So perhaps the separator between name and address is the dash, but the address continues.\\n\\nWait, perhaps the way it's structured is that each entry's name and address are in two lines. For example, entry 1:\\n\\nFirst line (under NOM): Mr Alain BREHAM (Cabinet D. FEAU -\\n\\nSecond line: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nBut the user says to split into Name and Address fields. So the Name would be \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" (removing the dash), and the Address would be \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nWait, but the image shows that in entry 1, the first line of the name/address column is \\\"Mr Alain BREHAM (Cabinet D. FEAU -\\\", then the second line is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". So the dash is part of the name line, but according to the instructions, we should remove the dash between name and address.\\n\\nWait, perhaps the problem is that the name and address are in the same cell, split by a dash. So for each entry, the name is followed by a dash and then the address. So we need to split them there.\\n\\nFor example, entry 1:\\n\\n\\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\"\\n\\nHere, the \\\"- \\\" is the separator between name and address. So name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2:\\n\\n\\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\"\\n\\nName: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\"\\n\\nEntry 3:\\n\\n\\\"COMPAGNIE CENTRALE SICLI\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nName: \\\"COMPAGNIE CENTRALE SICLI\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nEntry 4:\\n\\n\\\"St\u00e9 DES MINES DE L'AURIERAS\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nSame.\\n\\nEntry 5:\\n\\n\\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nEntry 6:\\n\\n\\\"Mr PANI Antonio\\\" followed by \\\"SESSA (Tessin) Suisse\\\"\\n\\nEntry 7:\\n\\n\\\"Mr MASSON Daniel - Villa La Cava\\\" followed by \\\"Avenue de la Cava - 06 / CANNES\\\"\\n\\nSo for entry 7, name is \\\"Mr MASSON Daniel\\\", address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Wait, no. Original entry 7:\\n\\nName line: \\\"Mr MASSON Daniel - Villa La Cava\\\"\\n\\nAddress line: \\\"Avenue de la Cava - 06 / CANNES\\\"\\n\\nBut according to the separator instruction, the dash between name and address is to be removed. So the name is \\\"Mr MASSON Daniel\\\", and the address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Wait, but the address line starts with \\\"Avenue de la Cava\\\", which is part of the address. So perhaps the address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nWait, maybe the entry 7's name and address are split as:\\n\\nName: Mr MASSON Daniel\\n\\nAddress: Villa La Cava Avenue de la Cava - 06 / CANNES\\n\\nBecause the first line of the name/address column is \\\"Mr MASSON Daniel - Villa La Cava\\\", so the separator is the dash after \\\"Daniel\\\", making the name \\\"Mr MASSON Daniel\\\" and address \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nWait, but in the image, the address line for entry 7 is \\\"Avenue de la Cava - 06 / CANNES\\\". So perhaps the address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\", which is split across two lines.\\n\\nThis is getting a bit complicated. Let's process each entry one by one.\\n\\nFirst, let's list all entries:\\n\\n1. Entry I:\\n   - Name: Mr Alain BREHAM (Cabinet D. FEAU\\n   - Address: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\n2. Entry 2:\\n   - Name: Mr Marc BREHAM\\n   - Address: La Tuilerie - 78/St-Nom la Bret@che\\n\\n3. Entry 3:\\n   - Name: COMPAGNIE CENTRALE SICLI\\n   - Address: II bis rue Balzac - 75 / PARIS 8e\\n\\n4. Entry 4:\\n   - Name: St\u00e9 DES MINES DE L'AURIERAS\\n   - Address: II bis rue Balzac - 75 / PARIS 8e\\n\\n5. Entry 5:\\n   - Name: St\u00e9 de RECHERCHES MINIERES FRANCAISES\\n   - Address: II bis rue Balzac - 75 / PARIS 8e\\n\\n6. Entry 6:\\n   - Name: Mr PANI Antonio\\n   - Address: SESSA (Tessin) Suisse\\n\\n7. Entry 7:\\n   - Name: Mr MASSON Daniel\\n   - Address: Villa La Cava Avenue de la Cava - 06 / CANNES\\n\\nWait, for entry 7, the name/address column has \\\"Mr MASSON Daniel - Villa La Cava\\\" on the first line and \\\"Avenue de la Cava - 06 / CANNES\\\" on the second line. So the separator dash is between name and address, so name is \\\"Mr MASSON Daniel\\\", address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, the other fields:\\n\\n- Number (N\u00b0 d'ordre): entries are 1, 2, 3, 4, 5, 6, 7.\\n\\n- Actions O (Ordinaires): numbers like 179, 179, 168, 45, 10, 10, 10.\\n\\n- Actions P (de Priorit\u00e9): 520, 520, 822, 355, 10, 10, 10.\\n\\n- No De Voix (NOMBRE DE VOIX): 699, 699, 990, 400, 10, 10, 10.\\n\\n- Signature Present: All are blank, so false.\\n\\n- Signature: empty.\\n\\nAlso, the Total Actions:\\n\\nTotal O: sum of Actions O: 179+179+168+45+10+10+10 = 179+179=358, +168=526, +45=571, +10*3=60. Total O: 571+60=631.\\n\\nWait, but the bottom of the image has \\\"A REPORTER\\\" with some numbers. Let me check:\\n\\nAt the bottom, there's a line:\\n\\nA REPORTER | 601 | 2217 | 2818\\n\\nWait, the columns for A REPORTER would be:\\n\\n- Actions Ordinaires: 601\\n\\n- Actions de Priorit\u00e9: 2217\\n\\n- NOMBRE DE VOIX: 2818\\n\\nBut the Total Actions in the schema should be:\\n\\ntotal_o: 601\\n\\ntotal_p: 2217\\n\\ntotal_voix: 2818\\n\\nWait, but the entries are 7, but the \\\"A REPORTER\\\" line seems to be a summary. Wait, in the original problem statement, the user provided the image, which includes a line at the bottom: \\\"A REPORTER\\\" with numbers 601, 2217, 2818.\\n\\nBut the instructions say: the total_actions should be the sum of all entries. Wait, looking at the entries:\\n\\nEach entry has Actions O and P. Let's sum them:\\n\\nEntry 1: O=179, P=520 \u2192 total O=179, total P=520\\n\\nEntry 2: O=179, P=520\\n\\nEntry 3: O=168, P=822\\n\\nEntry 4: O=45, P=355\\n\\nEntry 5: O=10, P=10\\n\\nEntry 6: O=10, P=10\\n\\nEntry 7: O=10, P=10\\n\\nSum of O: 179+179=358; 358+168=526; 526+45=571; 571+10=581; 581+10=591; 591+10=601.\\n\\nSum of P: 520+520=1040; 1040+822=1862; 1862+355=2217; 2217+10=2227; 2227+10=2237; 2237+10=2247.\\n\\nBut the bottom line says \\\"A REPORTER\\\" with 601, 2217, 2818.\\n\\nWait, the entries' O sum is 601, which matches the A REPORTER O value.\\n\\nThe P sum: 520+520+822+355+10+10+10 = 520*2=1040; 1040+822=1862; 1862+355=2217; 2217+10*3=2247. But the A REPORTER P is 2217. Hmm, discrepancy here.\\n\\nWait, maybe the A REPORTER line is a different summary. Let's check:\\n\\nThe columns at the bottom:\\n\\nN\u00b0 d'ordre: (probably empty)\\n\\nNOM: A REPORTER\\n\\nACTIONS Ordinaires: 601\\n\\nde Priorit\u00e9: 2217\\n\\nNOMBRE DE VOIX: 2818\\n\\nSo the total actions O is 601, which matches the sum of O from entries.\\n\\nTotal actions P: 2217, which is the sum of P from entries: 520+520+822+355+10+10+10 = let's calculate again:\\n\\n520 (entry1) + 520 (entry2) = 1040\\n\\n+822 (entry3) = 1862\\n\\n+355 (entry4) = 2217\\n\\n+10 (entry5) = 2227\\n\\n+10 (entry6) = 2237\\n\\n+10 (entry7) = 2247\\n\\nWait, but according to A REPORTER, it's 2217. So why the discrepancy?\\n\\nAh, maybe entry4's Actions P is 355, which when added to previous sum (1862 + 355 = 2217), then entries 5,6,7 have 10 each, so 10*3=30. So total P would be 2217 + 30 = 2247.\\n\\nBut the A REPORTER line shows 2217 for P. So perhaps the entries 5,6,7 have P=10, but maybe in the image, the values are different.\\n\\nLooking back at the image:\\n\\nEntry 5: \\\"II bis rue Balzac - 75 / PARIS 8e\\\" | IO | IO\\n\\nSo Actions O: 10, Actions P: 10\\n\\nEntry 6: same, 10 and 10\\n\\nEntry 7: same, 10 and 10\\n\\nSo total O: 179+179+168+45+10+10+10 = 179*2=358; 358+168=526; 526+45=571; 571+10*3=601.\\n\\nTotal P: 520*2=1040; 1040+822=1862; 1862+355=2217; 2217+10*3=2247.\\n\\nBut the A REPORTER line shows 2217 for P. So maybe the entries 5,6,7's P values are actually 0? No, the image shows \\\"IO\\\" which is probably \\\"10\\\".\\n\\nWait, maybe the \\\"IO\\\" is written as 10, but in the sum, the P sum is 2217 (from entry1-4) plus 10*3=30, totaling 2247. But the A REPORTER says 2217. Hmm, maybe the A REPORTER is the sum of entries 1-4 only?\\n\\nWait, maybe the entries 5,6,7 have different values. Let me check the image again.\\n\\nFor entry 5: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\" | II bis rue Balzac - 75 / PARIS 8e | IO | IO | IO\\n\\nWait, the columns for entry 5: Actions Ordinaires: IO (probably 10), de Priorit\u00e9: IO (10), Voix: IO (10)\\n\\nSimilarly, entry 6: same.\\n\\nEntry 7: same.\\n\\nSo sum of P:\\n\\nEntries 1-4: 520 + 520 + 822 + 355 = 520+520=1040; 1040+822=1862; 1862+355=2217\\n\\nEntries 5-7: 10 each, so 30.\\n\\nTotal P: 2217 + 30 = 2247.\\n\\nBut the A REPORTER line shows 2217 for P. So perhaps the \\\"A REPORTER\\\" line is just a summary of the previous entries (1-4), and entries 5-7 are separate.\\n\\nWait, but the problem statement says that the Total Actions should be the sum of all entries. So the correct total_actions should be:\\n\\ntotal_o: 601 (sum of all O)\\n\\ntotal_p: 2247\\n\\ntotal_voix: sum of Voix: 699+699+990+400+10+10+10 = 699*2=1398; 1398+990=2388; 2388+400=2788; 2788+10*3=2818.\\n\\nAh, the Voix sum is 2818, which matches the A REPORTER's Voix value.\\n\\nSo the Total Actions should be:\\n\\ntotal_o: 601\\n\\ntotal_p: 2247\\n\\ntotal_voix: 2818\\n\\nBut the A REPORTER line shows 2217 for P, which is sum of entries 1-4. However, the problem says that the total_actions is the sum of all entries, so we should take the sum of all entries, which would be 2247.\\n\\nWait, but the user instruction says: \\\"Your task is to extract the metadata according to the given output format.\\\" The output schema includes total_actions, which should be the sum of all entries.\\n\\nNow, moving to the entries.\\n\\nEach entry has:\\n\\n- number: the N\u00b0 d'ordre (1,2,3,4,5,6,7)\\n\\n- name: extracted from the name part\\n\\n- address: extracted from address part\\n\\n- actions_o: Actions Ordinaires (179,179,168,45,10,10,10)\\n\\n- actions_p: Actions de Priorit\u00e9 (520,520,822,355,10,10,10)\\n\\n- no_de_voix: NOMBRE DE VOIX (699,699,990,400,10,10,10)\\n\\n- signature_present: false for all (as signature fields are empty)\\n\\n- signature: empty string\\n\\nNow, let's process each entry.\\n\\nEntry 1:\\n\\nN\u00b0: I\\n\\nName: Mr Alain BREHAM (Cabinet D. FEAU\\n\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nWait, but the address line is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\" - the \\\"I32\\\" might be \\\"132\\\", but as per the image, it's written as \\\"I32\\\".\\n\\nWait, the address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But the user says to preserve linebreaks, so if the address spans multiple lines, but in this case, it's all in one line.\\n\\nEntry 2:\\n\\nN\u00b0: 2\\n\\nName: Mr Marc BREHAM\\n\\nAddress: La Tuilerie - 78/St-Nom la Bret@che\\n\\nEntry 3:\\n\\nN\u00b0: 3\\n\\nName: COMPAGNIE CENTRALE SICLI\\n\\nAddress: II bis rue Balzac - 75 / PARIS 8e\\n\\nEntry 4:\\n\\nN\u00b0: 4\\n\\nName: St\u00e9 DES MINES DE L'AURIERAS\\n\\nAddress: II bis rue Balzac - 75 / PARIS 8e\\n\\nEntry 5:\\n\\nN\u00b0: 5\\n\\nName: St\u00e9 de RECHERCHES MINIERES FRANCAISES\\n\\nAddress: II bis rue Balzac - 75 / PARIS 8e\\n\\nEntry 6:\\n\\nN\u00b0: 6\\n\\nName: Mr PANI Antonio\\n\\nAddress: SESSA (Tessin) Suisse\\n\\nEntry 7:\\n\\nN\u00b0: 7\\n\\nName: Mr MASSON Daniel\\n\\nAddress: Villa La Cava Avenue de la Cava - 06 / CANNES\\n\\nWait, for entry 7, the address line is \\\"Avenue de la Cava - 06 / CANNES\\\". So the name part is \\\"Mr MASSON Daniel\\\", and address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, check if the addresses have any dashes to be preserved. For example, entry 2's address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". The dash here is part of the address, so it's kept.\\n\\nNow, the \\\"no_de_voix\\\" for entry 7: 10.\\n\\nNow, the entries:\\n\\n1. number: \\\"I\\\", name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\", actions_o: \\\"179\\\", actions_p: \\\"520\\\", no_de_voix: \\\"699\\\", signature_present: false, signature: \\\"\\\"\\n\\n2. number: \\\"2\\\", name: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\", actions_o: \\\"179\\\", actions_p: \\\"520\\\", no_de_voix: \\\"699\\\", signature_present: false, signature: \\\"\\\"\\n\\n3. number: \\\"3\\\", name: \\\"COMPAGNIE CENTRALE SICLI\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\", actions_o: \\\"168\\\", actions_p: \\\"822\\\", no_de_voix: \\\"990\\\", signature_present: false, signature: \\\"\\\"\\n\\n4. number: \\\"4\\\", name: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\", actions_o: \\\"45\\\", actions_p: \\\"355\\\", no_de_voix: \\\"400\\\", signature_present: false, signature: \\\"\\\"\\n\\n5. number: \\\"5\\\", name: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\", actions_o: \\\"10\\\", actions_p: \\\"10\\\", no_de_voix: \\\"10\\\", signature_present: false, signature: \\\"\\\"\\n\\n6. number: \\\"6\\\", name: \\\"Mr PANI Antonio\\\", address: \\\"SESSA (Tessin) Suisse\\\", actions_o: \\\"10\\\", actions_p: \\\"10\\\", no_de_voix: \\\"10\\\", signature_present: false, signature: \\\"\\\"\\n\\n7. number: \\\"7\\\", name: \\\"Mr MASSON Daniel\\\", address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\", actions_o: \\\"10\\\", actions_p: \\\"10\\\", no_de_voix: \\\"10\\\", signature_present: false, signature: \\\"\\\"\\n\\nNow, the total_actions:\\n\\ntotal_o: sum of actions_o for all entries: 179+179+168+45+10+10+10 = 601\\n\\ntotal_p: 520+520+822+355+10+10+10 = 2247\\n\\ntotal_voix: 699+699+990+400+10+10+10 = 2818\\n\\nNow, check the document name: \\\"Se_18_Bilanz1967_page_4\\\", page number 4.\\n\\nNow, compiling the JSON structure.\\n\\nThe required fields:\\n\\ndocument: \\\"Se_18_Bilanz1967_page_4\\\"\\n\\npage_number: 4\\n\\nentries: array of 7 entries as described.\\n\\ntotal_actions: {total_o: \\\"601\\\", total_p: \\\"2247\\\", total_voix: \\\"2818\\\"}\\n\\nCheck if all required fields are present.\\n\\nNow, for each entry, check the fields:\\n\\n- number: must be string (e.g., \\\"I\\\", \\\"2\\\", etc.)\\n\\n- name: string\\n\\n- address: string\\n\\n- actions_o: string\\n\\n- actions_p: string\\n\\n- no_de_voix: string\\n\\n- signature_present: boolean (false)\\n\\n- signature: string (empty)\\n\\nYes.\\n\\nNow, let's write the JSON.\\n\\nWait, in entry 1, the name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". Wait, the original image for entry 1 has:\\n\\nName: Mr Alain BREHAM (Cabinet D. FEAU - \\n\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nSo the dash between name and address is removed, so name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2's name is \\\"Mr Marc BREHAM\\\", address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nEntry 3's name is \\\"COMPAGNIE CENTRALE SICLI\\\", address is \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 4: name \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 5: same as entry 4.\\n\\nEntry 6: name \\\"Mr PANI Antonio\\\", address \\\"SESSA (Tessin) Suisse\\\".\\n\\nEntry 7: name \\\"Mr MASSON Daniel\\\", address \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, the JSON should be structured as per the schema.\\n\\nCheck if \\\"SESSA (Tessin) Suisse\\\" for entry 6 address is correctly written. The image shows \\\"SESSA (Tessin) Suisse\\\".\\n\\nAlso, entry 6's address has \\\"(Tessin) Suisse\\\", which is correct.\\n\\nEntry 7's address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, write the JSON.\\n\\nMake sure that all fields are correctly filled.\\n\\nNote: The user said to lose any dashes between name and address but preserve linebreaks. In entries where address spans multiple lines (like entry 1's address is on the same line as name), we split them.\\n\\nBut in the image, each entry's name and address are in two rows, so the first row is name part, second row is address part. So for example, entry 1 has:\\n\\nRow 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU -\\\"\\n\\nRow 2: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\"\\n\\nBut according to instructions, remove the dash between name and address, so name becomes \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2:\\n\\nRow 1: \\\"Mr Marc BREHAM - La Tuilerie -\\\"\\n\\nRow 2: \\\"78/St-Nom la Bret@che\\\"\\n\\nName: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nYes.\\n\\nNow, the JSON structure:\\n\\n{\\n  \\\"document\\\": \\\"Se_18_Bilanz1967_page_4\\\",\\n  \\\"page_number\\\": 4,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"I\\\",\\n      \\\"name\\\": \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\",\\n      \\\"address\\\": \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"Mr Marc BREHAM\\\",\\n      \\\"address\\\": \\\"La Tuilerie - 78/St-Nom la Bret@che\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"COMPAGNIE CENTRALE SICLI\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"168\\\",\\n      \\\"actions_p\\\": \\\"822\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"St\u00e9 DES MINES DE L'AURIERAS\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"45\\\",\\n      \\\"actions_p\\\": \\\"355\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Mr PANI Antonio\\\",\\n      \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Mr MASSON Daniel\\\",\\n      \\\"address\\\": \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"601\\\",\\n    \\\"total_p\\\": \\\"2247\\\",\\n    \\\"total_voix\\\": \\\"2818\\\"\\n  }\\n}\\n\\nWait, but in the schema, the total_actions should be an object with total_o, total_p, total_voix as strings.\\n\\nCheck if all required fields are present.\\n\\nYes. Now, check if the \\\"no_de_voix\\\" is correct for each entry.\\n\\nEntry 1: 699, correct.\\n\\nEntry 2: 699, correct.\\n\\nEntry 3: 990, correct.\\n\\nEntry 4: 400, correct.\\n\\nEntries 5-7: 10 each.\\n\\nSumming up, total_voix is 699*2=1398 + 990=2388 + 400=2788 + 10*3=2818. Correct.\\n\\nTotal_o: 179*2=358 +168=526 +45=571 +10*3=601. Correct.\\n\\nTotal_p: 520*2=1040 +822=1862 +355=2217 +10*3=2247. Correct.\\n\\nLooks good.\\n\\nAlso, the signature_present is false for all, as there are no signatures.\\n\\nAddresses have the required dashes preserved.\\n\\nNames don't have dashes between name and address anymore.\\n\\nThis should meet the schema requirements.\\n\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"let's see. I need to extract the metadata from this meeting minutes image and format it according to the provided JSON schema. The user mentioned that the Name and Address are in the same table field but need to be split into separate fields. Also, I have to remove any dashes between name and address but keep the line breaks. Addresses with multiple dashes should keep them, only remove visual splitting characters.\\n\\nFirst, I'll look at the image. The table has columns: N\u00b0 d'ordre, NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES, ACTIONS Ordinaires, de Priorit\u00e9, NOMBRE DE VOIX, SIGNATURE.\\n\\nEach row corresponds to an entry. The first row is entry 1: Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8. Wait, the address here is split between two lines. The name part is \\\"Mr Alain BREHAM (Cabinet D. FEAU -\\\", then the address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But the user says to split Name and Address into separate fields, so the name should be \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and the address \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But the instruction says to lose dashes between name and address, but preserve line breaks. Wait, the original table has a dash between the name and address parts. For example, in entry 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\". The problem says to remove dashes between name and address, so the name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and the address starts with \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But wait, the user says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So perhaps the dash that's between the name and address (like the \\\"-\\\") should be removed, but internal dashes in the address should stay. For example, in entry 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\" becomes \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" as name and \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\" as address. But the user says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So the dash that's splitting name and address is removed, but the dashes in the address are kept. So in entry 1, the name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", and the address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". Here, the name is \\\"Mr Marc BREHAM\\\", and the address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". Wait, but the original table has the name as \\\"Mr Marc BREHAM - La Tuilerie -\\\", so the name part is \\\"Mr Marc BREHAM\\\", and the address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". So the dash after the name is removed, so name becomes \\\"Mr Marc BREHAM\\\", address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nWait, but the instruction says: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\"\\n\\nSo the table field has the name followed by address, with a dash (or some visual splitting character) between them. We need to split them, so the name is before the dash, address after, but remove the dash.\\n\\nFor example, in entry 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\" becomes name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\" becomes name: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nWait, but the user says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So perhaps the dash that's separating name and address is removed, but internal dashes in the address are kept.\\n\\nNow, looking at the entries:\\n\\nEntry 1:\\nName: Mr Alain BREHAM (Cabinet D. FEAU\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nBut wait, in the image, the first entry's name field is \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\". The \\\"- \\\" is the separator between name and address, so we need to split them there.\\n\\nBut in entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". Here, the name is \\\"Mr Marc BREHAM\\\", and address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". So the \\\"- \\\" is part of the address, but the separator is the dash after the name. So we need to remove the dash after the name, but keep the dashes in the address.\\n\\nWait, the problem states: \\\"Lose any dashes between name and address but preserve linebreaks.\\\" So the dashes that are between name and address (the visual splitting characters) should be removed. So for example, if the name is \\\"Mr X - Y\\\", then \\\"Mr X\\\" is name, \\\"Y\\\" is address. But in the case where the address has dashes, like \\\"La Tuilerie - 78...\\\", those dashes are part of the address and should be preserved.\\n\\nSo in entry 2, the original text is \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". The separator here is the dash after \\\"BREHAM\\\", so the name is \\\"Mr Marc BREHAM\\\", and the address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". The dashes in the address are kept.\\n\\nSimilarly, entry 3: \\\"COMPAGNIE CENTRALE SICLI\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\". The name is \\\"COMPAGNIE CENTRALE SICLI\\\", address is \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 4: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\". So name: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 5: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\". Same as above.\\n\\nEntry 6: \\\"Mr PANI Antonio\\\" followed by \\\"SESSA (Tessin) Suisse\\\". So name: \\\"Mr PANI Antonio\\\", address: \\\"SESSA (Tessin) Suisse\\\".\\n\\nEntry 7: \\\"Mr MASSON Daniel - Villa La Cava\\\" followed by \\\"Avenue de la Cava - 06 / CANNES\\\". So name: \\\"Mr MASSON Daniel\\\", address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\"? Wait, original text for entry 7: \\\"Mr MASSON Daniel - Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Wait, the image shows: \\\"Mr MASSON Daniel - Villa La Cava Avenue de la Cava - 06 / CANNES\\\". So the separator is the dash after \\\"Daniel\\\", so name is \\\"Mr MASSON Daniel\\\", address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nWait, looking at the image:\\n\\nEntry 7:\\n\\nN\u00b0: 7\\n\\nName field: \\\"Mr MASSON Daniel - Villa La Cava\\\"\\n\\nAddress field: \\\"Avenue de la Cava - 06 / CANNES\\\"\\n\\nWait, no. The table has two rows for each entry? Wait, the image shows that each entry spans two rows. For example, entry 1 has:\\n\\nFirst row: \\\"I\\\" in the N\u00b0 column, then \\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\" as the name/address.\\n\\nWait, maybe the structure is that the name and address are split across two rows for each entry. Wait, looking at the image:\\n\\nThe columns are:\\n\\nN\u00b0 d'ordre | NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES | ACTIONS Ordinaires | de Priorit\u00e9 | NOMBRE DE VOIX | SIGNATURE\\n\\nFor entry 1:\\n\\nRow 1: I | Mr Alain BREHAM (Cabinet D. FEAU - | I79 | 520 | 699\\n\\nRow 2: | I32 Boulevard Haussmann - 75 / PARIS 8 | | | |\\n\\nWait, perhaps the \\\"NOM, PR\u00c9NOMS ET DOMICILE\\\" column is split into two parts: first line is the name, second line is the address. So for entry 1:\\n\\nName: Mr Alain BREHAM (Cabinet D. FEAU\\n\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nSimilarly, entry 2:\\n\\nName: Mr Marc BREHAM\\n\\nAddress: La Tuilerie - 78/St-Nom la Bret@che\\n\\nWait, but the image shows:\\n\\nRow 2 for entry 2: \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\"\\n\\nWait, the N\u00b0 d'ordre is 2, then the name/address column has \\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\". So perhaps the separator between name and address is the dash, but the address continues.\\n\\nWait, perhaps the way it's structured is that each entry's name and address are in two lines. For example, entry 1:\\n\\nFirst line (under NOM): Mr Alain BREHAM (Cabinet D. FEAU -\\n\\nSecond line: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nBut the user says to split into Name and Address fields. So the Name would be \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" (removing the dash), and the Address would be \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nWait, but the image shows that in entry 1, the first line of the name/address column is \\\"Mr Alain BREHAM (Cabinet D. FEAU -\\\", then the second line is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". So the dash is part of the name line, but according to the instructions, we should remove the dash between name and address.\\n\\nWait, perhaps the problem is that the name and address are in the same cell, split by a dash. So for each entry, the name is followed by a dash and then the address. So we need to split them there.\\n\\nFor example, entry 1:\\n\\n\\\"Mr Alain BREHAM (Cabinet D. FEAU - I32 Boulevard Haussmann - 75 / PARIS 8\\\"\\n\\nHere, the \\\"- \\\" is the separator between name and address. So name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2:\\n\\n\\\"Mr Marc BREHAM - La Tuilerie - 78/St-Nom la Bret@che\\\"\\n\\nName: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\"\\n\\nEntry 3:\\n\\n\\\"COMPAGNIE CENTRALE SICLI\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nName: \\\"COMPAGNIE CENTRALE SICLI\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nEntry 4:\\n\\n\\\"St\u00e9 DES MINES DE L'AURIERAS\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nSame.\\n\\nEntry 5:\\n\\n\\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\" followed by \\\"II bis rue Balzac - 75 / PARIS 8e\\\"\\n\\nEntry 6:\\n\\n\\\"Mr PANI Antonio\\\" followed by \\\"SESSA (Tessin) Suisse\\\"\\n\\nEntry 7:\\n\\n\\\"Mr MASSON Daniel - Villa La Cava\\\" followed by \\\"Avenue de la Cava - 06 / CANNES\\\"\\n\\nSo for entry 7, name is \\\"Mr MASSON Daniel\\\", address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Wait, no. Original entry 7:\\n\\nName line: \\\"Mr MASSON Daniel - Villa La Cava\\\"\\n\\nAddress line: \\\"Avenue de la Cava - 06 / CANNES\\\"\\n\\nBut according to the separator instruction, the dash between name and address is to be removed. So the name is \\\"Mr MASSON Daniel\\\", and the address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\". Wait, but the address line starts with \\\"Avenue de la Cava\\\", which is part of the address. So perhaps the address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nWait, maybe the entry 7's name and address are split as:\\n\\nName: Mr MASSON Daniel\\n\\nAddress: Villa La Cava Avenue de la Cava - 06 / CANNES\\n\\nBecause the first line of the name/address column is \\\"Mr MASSON Daniel - Villa La Cava\\\", so the separator is the dash after \\\"Daniel\\\", making the name \\\"Mr MASSON Daniel\\\" and address \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nWait, but in the image, the address line for entry 7 is \\\"Avenue de la Cava - 06 / CANNES\\\". So perhaps the address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\", which is split across two lines.\\n\\nThis is getting a bit complicated. Let's process each entry one by one.\\n\\nFirst, let's list all entries:\\n\\n1. Entry I:\\n   - Name: Mr Alain BREHAM (Cabinet D. FEAU\\n   - Address: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\n2. Entry 2:\\n   - Name: Mr Marc BREHAM\\n   - Address: La Tuilerie - 78/St-Nom la Bret@che\\n\\n3. Entry 3:\\n   - Name: COMPAGNIE CENTRALE SICLI\\n   - Address: II bis rue Balzac - 75 / PARIS 8e\\n\\n4. Entry 4:\\n   - Name: St\u00e9 DES MINES DE L'AURIERAS\\n   - Address: II bis rue Balzac - 75 / PARIS 8e\\n\\n5. Entry 5:\\n   - Name: St\u00e9 de RECHERCHES MINIERES FRANCAISES\\n   - Address: II bis rue Balzac - 75 / PARIS 8e\\n\\n6. Entry 6:\\n   - Name: Mr PANI Antonio\\n   - Address: SESSA (Tessin) Suisse\\n\\n7. Entry 7:\\n   - Name: Mr MASSON Daniel\\n   - Address: Villa La Cava Avenue de la Cava - 06 / CANNES\\n\\nWait, for entry 7, the name/address column has \\\"Mr MASSON Daniel - Villa La Cava\\\" on the first line and \\\"Avenue de la Cava - 06 / CANNES\\\" on the second line. So the separator dash is between name and address, so name is \\\"Mr MASSON Daniel\\\", address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, the other fields:\\n\\n- Number (N\u00b0 d'ordre): entries are 1, 2, 3, 4, 5, 6, 7.\\n\\n- Actions O (Ordinaires): numbers like 179, 179, 168, 45, 10, 10, 10.\\n\\n- Actions P (de Priorit\u00e9): 520, 520, 822, 355, 10, 10, 10.\\n\\n- No De Voix (NOMBRE DE VOIX): 699, 699, 990, 400, 10, 10, 10.\\n\\n- Signature Present: All are blank, so false.\\n\\n- Signature: empty.\\n\\nAlso, the Total Actions:\\n\\nTotal O: sum of Actions O: 179+179+168+45+10+10+10 = 179+179=358, +168=526, +45=571, +10*3=60. Total O: 571+60=631.\\n\\nWait, but the bottom of the image has \\\"A REPORTER\\\" with some numbers. Let me check:\\n\\nAt the bottom, there's a line:\\n\\nA REPORTER | 601 | 2217 | 2818\\n\\nWait, the columns for A REPORTER would be:\\n\\n- Actions Ordinaires: 601\\n\\n- Actions de Priorit\u00e9: 2217\\n\\n- NOMBRE DE VOIX: 2818\\n\\nBut the Total Actions in the schema should be:\\n\\ntotal_o: 601\\n\\ntotal_p: 2217\\n\\ntotal_voix: 2818\\n\\nWait, but the entries are 7, but the \\\"A REPORTER\\\" line seems to be a summary. Wait, in the original problem statement, the user provided the image, which includes a line at the bottom: \\\"A REPORTER\\\" with numbers 601, 2217, 2818.\\n\\nBut the instructions say: the total_actions should be the sum of all entries. Wait, looking at the entries:\\n\\nEach entry has Actions O and P. Let's sum them:\\n\\nEntry 1: O=179, P=520 \u2192 total O=179, total P=520\\n\\nEntry 2: O=179, P=520\\n\\nEntry 3: O=168, P=822\\n\\nEntry 4: O=45, P=355\\n\\nEntry 5: O=10, P=10\\n\\nEntry 6: O=10, P=10\\n\\nEntry 7: O=10, P=10\\n\\nSum of O: 179+179=358; 358+168=526; 526+45=571; 571+10=581; 581+10=591; 591+10=601.\\n\\nSum of P: 520+520=1040; 1040+822=1862; 1862+355=2217; 2217+10=2227; 2227+10=2237; 2237+10=2247.\\n\\nBut the bottom line says \\\"A REPORTER\\\" with 601, 2217, 2818.\\n\\nWait, the entries' O sum is 601, which matches the A REPORTER O value.\\n\\nThe P sum: 520+520+822+355+10+10+10 = 520*2=1040; 1040+822=1862; 1862+355=2217; 2217+10*3=2247. But the A REPORTER P is 2217. Hmm, discrepancy here.\\n\\nWait, maybe the A REPORTER line is a different summary. Let's check:\\n\\nThe columns at the bottom:\\n\\nN\u00b0 d'ordre: (probably empty)\\n\\nNOM: A REPORTER\\n\\nACTIONS Ordinaires: 601\\n\\nde Priorit\u00e9: 2217\\n\\nNOMBRE DE VOIX: 2818\\n\\nSo the total actions O is 601, which matches the sum of O from entries.\\n\\nTotal actions P: 2217, which is the sum of P from entries: 520+520+822+355+10+10+10 = let's calculate again:\\n\\n520 (entry1) + 520 (entry2) = 1040\\n\\n+822 (entry3) = 1862\\n\\n+355 (entry4) = 2217\\n\\n+10 (entry5) = 2227\\n\\n+10 (entry6) = 2237\\n\\n+10 (entry7) = 2247\\n\\nWait, but according to A REPORTER, it's 2217. So why the discrepancy?\\n\\nAh, maybe entry4's Actions P is 355, which when added to previous sum (1862 + 355 = 2217), then entries 5,6,7 have 10 each, so 10*3=30. So total P would be 2217 + 30 = 2247.\\n\\nBut the A REPORTER line shows 2217 for P. So perhaps the entries 5,6,7 have P=10, but maybe in the image, the values are different.\\n\\nLooking back at the image:\\n\\nEntry 5: \\\"II bis rue Balzac - 75 / PARIS 8e\\\" | IO | IO\\n\\nSo Actions O: 10, Actions P: 10\\n\\nEntry 6: same, 10 and 10\\n\\nEntry 7: same, 10 and 10\\n\\nSo total O: 179+179+168+45+10+10+10 = 179*2=358; 358+168=526; 526+45=571; 571+10*3=601.\\n\\nTotal P: 520*2=1040; 1040+822=1862; 1862+355=2217; 2217+10*3=2247.\\n\\nBut the A REPORTER line shows 2217 for P. So maybe the entries 5,6,7's P values are actually 0? No, the image shows \\\"IO\\\" which is probably \\\"10\\\".\\n\\nWait, maybe the \\\"IO\\\" is written as 10, but in the sum, the P sum is 2217 (from entry1-4) plus 10*3=30, totaling 2247. But the A REPORTER says 2217. Hmm, maybe the A REPORTER is the sum of entries 1-4 only?\\n\\nWait, maybe the entries 5,6,7 have different values. Let me check the image again.\\n\\nFor entry 5: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\" | II bis rue Balzac - 75 / PARIS 8e | IO | IO | IO\\n\\nWait, the columns for entry 5: Actions Ordinaires: IO (probably 10), de Priorit\u00e9: IO (10), Voix: IO (10)\\n\\nSimilarly, entry 6: same.\\n\\nEntry 7: same.\\n\\nSo sum of P:\\n\\nEntries 1-4: 520 + 520 + 822 + 355 = 520+520=1040; 1040+822=1862; 1862+355=2217\\n\\nEntries 5-7: 10 each, so 30.\\n\\nTotal P: 2217 + 30 = 2247.\\n\\nBut the A REPORTER line shows 2217 for P. So perhaps the \\\"A REPORTER\\\" line is just a summary of the previous entries (1-4), and entries 5-7 are separate.\\n\\nWait, but the problem statement says that the Total Actions should be the sum of all entries. So the correct total_actions should be:\\n\\ntotal_o: 601 (sum of all O)\\n\\ntotal_p: 2247\\n\\ntotal_voix: sum of Voix: 699+699+990+400+10+10+10 = 699*2=1398; 1398+990=2388; 2388+400=2788; 2788+10*3=2818.\\n\\nAh, the Voix sum is 2818, which matches the A REPORTER's Voix value.\\n\\nSo the Total Actions should be:\\n\\ntotal_o: 601\\n\\ntotal_p: 2247\\n\\ntotal_voix: 2818\\n\\nBut the A REPORTER line shows 2217 for P, which is sum of entries 1-4. However, the problem says that the total_actions is the sum of all entries, so we should take the sum of all entries, which would be 2247.\\n\\nWait, but the user instruction says: \\\"Your task is to extract the metadata according to the given output format.\\\" The output schema includes total_actions, which should be the sum of all entries.\\n\\nNow, moving to the entries.\\n\\nEach entry has:\\n\\n- number: the N\u00b0 d'ordre (1,2,3,4,5,6,7)\\n\\n- name: extracted from the name part\\n\\n- address: extracted from address part\\n\\n- actions_o: Actions Ordinaires (179,179,168,45,10,10,10)\\n\\n- actions_p: Actions de Priorit\u00e9 (520,520,822,355,10,10,10)\\n\\n- no_de_voix: NOMBRE DE VOIX (699,699,990,400,10,10,10)\\n\\n- signature_present: false for all (as signature fields are empty)\\n\\n- signature: empty string\\n\\nNow, let's process each entry.\\n\\nEntry 1:\\n\\nN\u00b0: I\\n\\nName: Mr Alain BREHAM (Cabinet D. FEAU\\n\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nWait, but the address line is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\" - the \\\"I32\\\" might be \\\"132\\\", but as per the image, it's written as \\\"I32\\\".\\n\\nWait, the address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". But the user says to preserve linebreaks, so if the address spans multiple lines, but in this case, it's all in one line.\\n\\nEntry 2:\\n\\nN\u00b0: 2\\n\\nName: Mr Marc BREHAM\\n\\nAddress: La Tuilerie - 78/St-Nom la Bret@che\\n\\nEntry 3:\\n\\nN\u00b0: 3\\n\\nName: COMPAGNIE CENTRALE SICLI\\n\\nAddress: II bis rue Balzac - 75 / PARIS 8e\\n\\nEntry 4:\\n\\nN\u00b0: 4\\n\\nName: St\u00e9 DES MINES DE L'AURIERAS\\n\\nAddress: II bis rue Balzac - 75 / PARIS 8e\\n\\nEntry 5:\\n\\nN\u00b0: 5\\n\\nName: St\u00e9 de RECHERCHES MINIERES FRANCAISES\\n\\nAddress: II bis rue Balzac - 75 / PARIS 8e\\n\\nEntry 6:\\n\\nN\u00b0: 6\\n\\nName: Mr PANI Antonio\\n\\nAddress: SESSA (Tessin) Suisse\\n\\nEntry 7:\\n\\nN\u00b0: 7\\n\\nName: Mr MASSON Daniel\\n\\nAddress: Villa La Cava Avenue de la Cava - 06 / CANNES\\n\\nWait, for entry 7, the address line is \\\"Avenue de la Cava - 06 / CANNES\\\". So the name part is \\\"Mr MASSON Daniel\\\", and address is \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, check if the addresses have any dashes to be preserved. For example, entry 2's address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\". The dash here is part of the address, so it's kept.\\n\\nNow, the \\\"no_de_voix\\\" for entry 7: 10.\\n\\nNow, the entries:\\n\\n1. number: \\\"I\\\", name: \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\", actions_o: \\\"179\\\", actions_p: \\\"520\\\", no_de_voix: \\\"699\\\", signature_present: false, signature: \\\"\\\"\\n\\n2. number: \\\"2\\\", name: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\", actions_o: \\\"179\\\", actions_p: \\\"520\\\", no_de_voix: \\\"699\\\", signature_present: false, signature: \\\"\\\"\\n\\n3. number: \\\"3\\\", name: \\\"COMPAGNIE CENTRALE SICLI\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\", actions_o: \\\"168\\\", actions_p: \\\"822\\\", no_de_voix: \\\"990\\\", signature_present: false, signature: \\\"\\\"\\n\\n4. number: \\\"4\\\", name: \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\", actions_o: \\\"45\\\", actions_p: \\\"355\\\", no_de_voix: \\\"400\\\", signature_present: false, signature: \\\"\\\"\\n\\n5. number: \\\"5\\\", name: \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\", address: \\\"II bis rue Balzac - 75 / PARIS 8e\\\", actions_o: \\\"10\\\", actions_p: \\\"10\\\", no_de_voix: \\\"10\\\", signature_present: false, signature: \\\"\\\"\\n\\n6. number: \\\"6\\\", name: \\\"Mr PANI Antonio\\\", address: \\\"SESSA (Tessin) Suisse\\\", actions_o: \\\"10\\\", actions_p: \\\"10\\\", no_de_voix: \\\"10\\\", signature_present: false, signature: \\\"\\\"\\n\\n7. number: \\\"7\\\", name: \\\"Mr MASSON Daniel\\\", address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\", actions_o: \\\"10\\\", actions_p: \\\"10\\\", no_de_voix: \\\"10\\\", signature_present: false, signature: \\\"\\\"\\n\\nNow, the total_actions:\\n\\ntotal_o: sum of actions_o for all entries: 179+179+168+45+10+10+10 = 601\\n\\ntotal_p: 520+520+822+355+10+10+10 = 2247\\n\\ntotal_voix: 699+699+990+400+10+10+10 = 2818\\n\\nNow, check the document name: \\\"Se_18_Bilanz1967_page_4\\\", page number 4.\\n\\nNow, compiling the JSON structure.\\n\\nThe required fields:\\n\\ndocument: \\\"Se_18_Bilanz1967_page_4\\\"\\n\\npage_number: 4\\n\\nentries: array of 7 entries as described.\\n\\ntotal_actions: {total_o: \\\"601\\\", total_p: \\\"2247\\\", total_voix: \\\"2818\\\"}\\n\\nCheck if all required fields are present.\\n\\nNow, for each entry, check the fields:\\n\\n- number: must be string (e.g., \\\"I\\\", \\\"2\\\", etc.)\\n\\n- name: string\\n\\n- address: string\\n\\n- actions_o: string\\n\\n- actions_p: string\\n\\n- no_de_voix: string\\n\\n- signature_present: boolean (false)\\n\\n- signature: string (empty)\\n\\nYes.\\n\\nNow, let's write the JSON.\\n\\nWait, in entry 1, the name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\" and address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\". Wait, the original image for entry 1 has:\\n\\nName: Mr Alain BREHAM (Cabinet D. FEAU - \\n\\nAddress: I32 Boulevard Haussmann - 75 / PARIS 8\\n\\nSo the dash between name and address is removed, so name is \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address is \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2's name is \\\"Mr Marc BREHAM\\\", address is \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nEntry 3's name is \\\"COMPAGNIE CENTRALE SICLI\\\", address is \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 4: name \\\"St\u00e9 DES MINES DE L'AURIERAS\\\", address \\\"II bis rue Balzac - 75 / PARIS 8e\\\".\\n\\nEntry 5: same as entry 4.\\n\\nEntry 6: name \\\"Mr PANI Antonio\\\", address \\\"SESSA (Tessin) Suisse\\\".\\n\\nEntry 7: name \\\"Mr MASSON Daniel\\\", address \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, the JSON should be structured as per the schema.\\n\\nCheck if \\\"SESSA (Tessin) Suisse\\\" for entry 6 address is correctly written. The image shows \\\"SESSA (Tessin) Suisse\\\".\\n\\nAlso, entry 6's address has \\\"(Tessin) Suisse\\\", which is correct.\\n\\nEntry 7's address: \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\".\\n\\nNow, write the JSON.\\n\\nMake sure that all fields are correctly filled.\\n\\nNote: The user said to lose any dashes between name and address but preserve linebreaks. In entries where address spans multiple lines (like entry 1's address is on the same line as name), we split them.\\n\\nBut in the image, each entry's name and address are in two rows, so the first row is name part, second row is address part. So for example, entry 1 has:\\n\\nRow 1: \\\"Mr Alain BREHAM (Cabinet D. FEAU -\\\"\\n\\nRow 2: \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\"\\n\\nBut according to instructions, remove the dash between name and address, so name becomes \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\", address \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\".\\n\\nSimilarly, entry 2:\\n\\nRow 1: \\\"Mr Marc BREHAM - La Tuilerie -\\\"\\n\\nRow 2: \\\"78/St-Nom la Bret@che\\\"\\n\\nName: \\\"Mr Marc BREHAM\\\", address: \\\"La Tuilerie - 78/St-Nom la Bret@che\\\".\\n\\nYes.\\n\\nNow, the JSON structure:\\n\\n{\\n  \\\"document\\\": \\\"Se_18_Bilanz1967_page_4\\\",\\n  \\\"page_number\\\": 4,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"I\\\",\\n      \\\"name\\\": \\\"Mr Alain BREHAM (Cabinet D. FEAU\\\",\\n      \\\"address\\\": \\\"I32 Boulevard Haussmann - 75 / PARIS 8\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"Mr Marc BREHAM\\\",\\n      \\\"address\\\": \\\"La Tuilerie - 78/St-Nom la Bret@che\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"COMPAGNIE CENTRALE SICLI\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"168\\\",\\n      \\\"actions_p\\\": \\\"822\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"St\u00e9 DES MINES DE L'AURIERAS\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"45\\\",\\n      \\\"actions_p\\\": \\\"355\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"St\u00e9 de RECHERCHES MINIERES FRANCAISES\\\",\\n      \\\"address\\\": \\\"II bis rue Balzac - 75 / PARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Mr PANI Antonio\\\",\\n      \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Mr MASSON Daniel\\\",\\n      \\\"address\\\": \\\"Villa La Cava Avenue de la Cava - 06 / CANNES\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"601\\\",\\n    \\\"total_p\\\": \\\"2247\\\",\\n    \\\"total_voix\\\": \\\"2818\\\"\\n  }\\n}\\n\\nWait, but in the schema, the total_actions should be an object with total_o, total_p, total_voix as strings.\\n\\nCheck if all required fields are present.\\n\\nYes. Now, check if the \\\"no_de_voix\\\" is correct for each entry.\\n\\nEntry 1: 699, correct.\\n\\nEntry 2: 699, correct.\\n\\nEntry 3: 990, correct.\\n\\nEntry 4: 400, correct.\\n\\nEntries 5-7: 10 each.\\n\\nSumming up, total_voix is 699*2=1398 + 990=2388 + 400=2788 + 10*3=2818. Correct.\\n\\nTotal_o: 179*2=358 +168=526 +45=571 +10*3=601. Correct.\\n\\nTotal_p: 520*2=1040 +822=1862 +355=2217 +10*3=2247. Correct.\\n\\nLooks good.\\n\\nAlso, the signature_present is false for all, as there are no signatures.\\n\\nAddresses have the required dashes preserved.\\n\\nNames don't have dashes between name and address anymore.\\n\\nThis should meet the schema requirements.\\n\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1783064994,\"model\":\"qwen/qwen3-vl-8b-thinking\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":9826,\"prompt_tokens\":3111,\"total_tokens\":12937,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":9104,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.013776477,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.013776477,\"upstream_inference_prompt_cost\":0.000363987,\"upstream_inference_completions_cost\":0.01341249}},\"provider\":\"Alibaba\"}"}, "scoring": {"fuzzy": 0.7374287419567598, "cost_summary": {"total_input_tokens": 28064, "total_output_tokens": 94504, "total_tokens": 122568, "input_cost_usd": 0.003283488, "output_cost_usd": 0.12899796, "total_cost_usd": 0.132281448}}, "normalized_score": 73.74287419567598}, {"_id": {"$oid": "6a8456c1ef0a19c343227c1e"}, "test_id": "T1273", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "scicore", "model": "qwen35-397b-a17b-fp8", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly s/Seine (Seine\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly s/Seine. (Seine\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"3\",\"name\":\"M. STRAP Pierre\",\"address\":\"73 rue des Vignes - Paris (16e)\",\"actions_o\":\"68\",\"actions_p\":\"80\",\"no_de_voix\":\"148\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"4\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\",\"actions_o\":\"10\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"5\",\"name\":\"Cie Centrale de Mines & de M\u00e9tallurgie SICLI\",\"address\":\"11 bis Rue Balzac - Paris (8e)\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'Aurieras\",\"address\":\"11 bis Rue Balzac - Paris (8e)\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"11 bis Rue Balzac - Paris (8e)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"8\",\"name\":\"M. PANI Antonio\",\"address\":\"\",\"actions_o\":\"10\",\"actions_p\":\"1\",\"no_de_voix\":\"11\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"9\",\"name\":\"M. PANI Terenzio\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"10\",\"name\":\"M. SPIESS Giangiorgio\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"659\",\"total_p\":\"2310\",\"total_voix\":\"2969\"}}", "model": "qwen35-397b-a17b-fp8", "provider": "scicore", "finish_reason": "stop", "usage": {"input_tokens": 3274, "output_tokens": 2992, "total_tokens": 6266, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "estimated_cost_usd": 0.0}, "duration": 47.22014617919922, "timestamp": "2026-07-03T08:41:08.569659", "parsed": {"document": "Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4", "page_number": 4, "entries": [{"number": "1", "name": "M. BREHAM Alain", "address": "45 Boulevard Charcot - Neuilly s/Seine (Seine", "actions_o": "179", "actions_p": "520", "no_de_voix": "699", "signature_present": true, "signature": "Pa"}, {"number": "2", "name": "M. BREHAM Marc", "address": "16, rue Saint Pierre - Neuilly s/Seine. (Seine", "actions_o": "179", "actions_p": "520", "no_de_voix": "699", "signature_present": true, "signature": "Pa"}, {"number": "3", "name": "M. STRAP Pierre", "address": "73 rue des Vignes - Paris (16e)", "actions_o": "68", "actions_p": "80", "no_de_voix": "148", "signature_present": true, "signature": "Pa"}, {"number": "4", "name": "M. MASSON Daniel", "address": "9 rue de l'Orangerie - Compi\u00e8gne (Oise)", "actions_o": "10", "actions_p": "-", "no_de_voix": "10", "signature_present": true, "signature": "Pa"}, {"number": "5", "name": "Cie Centrale de Mines & de M\u00e9tallurgie SICLI", "address": "11 bis Rue Balzac - Paris (8e)", "actions_o": "168", "actions_p": "822", "no_de_voix": "990", "signature_present": true, "signature": "Pa"}, {"number": "6", "name": "Soci\u00e9t\u00e9 des Mines de l'Aurieras", "address": "11 bis Rue Balzac - Paris (8e)", "actions_o": "45", "actions_p": "355", "no_de_voix": "400", "signature_present": true, "signature": "Pa"}, {"number": "7", "name": "Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises", "address": "11 bis Rue Balzac - Paris (8e)", "actions_o": "-", "actions_p": "10", "no_de_voix": "10", "signature_present": true, "signature": "Pa"}, {"number": "8", "name": "M. PANI Antonio", "address": "", "actions_o": "10", "actions_p": "1", "no_de_voix": "11", "signature_present": true, "signature": "Pa"}, {"number": "9", "name": "M. PANI Terenzio", "address": "", "actions_o": "", "actions_p": "1", "no_de_voix": "1", "signature_present": true, "signature": "Pa"}, {"number": "10", "name": "M. SPIESS Giangiorgio", "address": "", "actions_o": "", "actions_p": "1", "no_de_voix": "1", "signature_present": false, "signature": ""}], "total_actions": {"total_o": "659", "total_p": "2310", "total_voix": "2969"}}, "conversation_id": "053ec392-a4ff-4baf-934e-d007a2e955da", "score": {"fuzzy": 0.9804135608131309}, "raw_response": "{\"id\":\"chatcmpl-b573bfba47a731fe\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"659\\\",\\n    \\\"total_voix\\\": \\\"2969\\\",\\n    \\\"total_p\\\": \\\"2310\\\"\\n  },\\n  \\\"entries\\\": [\\n    {\\n      \\\"name\\\": \\\"M. BREHAM Alain\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"address\\\": \\\"45 Boulevard Charcot - Neuilly s/Seine (Seine\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"1\\\",\\n      \\\"actions_o\\\": \\\"179\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"M. BREHAM Marc\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"address\\\": \\\"16, rue Saint Pierre - Neuilly s/Seine. (Seine\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"actions_o\\\": \\\"179\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"M. STRAP Pierre\\\",\\n      \\\"actions_p\\\": \\\"80\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"148\\\",\\n      \\\"address\\\": \\\"73 rue des Vignes - Paris (16e)\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"actions_o\\\": \\\"68\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"M. MASSON Daniel\\\",\\n      \\\"actions_p\\\": \\\"-\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"address\\\": \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"actions_o\\\": \\\"10\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"Cie Centrale de Mines & de M\u00e9tallurgie SICLI\\\",\\n      \\\"actions_p\\\": \\\"822\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\",\\n      \\\"address\\\": \\\"11 bis Rue Balzac - Paris (8e)\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"actions_o\\\": \\\"168\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des Mines de l'Aurieras\\\",\\n      \\\"actions_p\\\": \\\"355\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\",\\n      \\\"address\\\": \\\"11 bis Rue Balzac - Paris (8e)\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"actions_o\\\": \\\"45\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"address\\\": \\\"11 bis Rue Balzac - Paris (8e)\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"actions_o\\\": \\\"-\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"M. PANI Antonio\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"11\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"8\\\",\\n      \\\"actions_o\\\": \\\"10\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"M. PANI Terenzio\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"signature\\\": \\\"Pa\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"number\\\": \\\"9\\\",\\n      \\\"actions_o\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"name\\\": \\\"M. SPIESS Giangiorgio\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"signature\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"number\\\": \\\"10\\\",\\n      \\\"actions_o\\\": \\\"\\\"\\n    }\\n  ]\\n  , \\\"page_number\\\": 4\\n  , \\\"document\\\": \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\\\"\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly s/Seine (Seine\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly s/Seine. (Seine\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"3\",\"name\":\"M. STRAP Pierre\",\"address\":\"73 rue des Vignes - Paris (16e)\",\"actions_o\":\"68\",\"actions_p\":\"80\",\"no_de_voix\":\"148\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"4\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\",\"actions_o\":\"10\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"5\",\"name\":\"Cie Centrale de Mines & de M\u00e9tallurgie SICLI\",\"address\":\"11 bis Rue Balzac - Paris (8e)\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'Aurieras\",\"address\":\"11 bis Rue Balzac - Paris (8e)\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"11 bis Rue Balzac - Paris (8e)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"8\",\"name\":\"M. PANI Antonio\",\"address\":\"\",\"actions_o\":\"10\",\"actions_p\":\"1\",\"no_de_voix\":\"11\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"9\",\"name\":\"M. PANI Terenzio\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"10\",\"name\":\"M. SPIESS Giangiorgio\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"659\",\"total_p\":\"2310\",\"total_voix\":\"2969\"}},\"reasoning\":\"The user wants me to extract data from a handwritten table in French.\\nThe table lists shareholders (\\\"Actionnaires\\\").\\nThe columns are:\\n1.  **N\u00b0 D'ORDRE** (Order Number)\\n2.  **NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES** (Name, First Names, and Domicile of Shareholders) - This needs to be split into Name and Address.\\n3.  **ACTIONS** (Shares) - split into \\\"de Priorit\u00e9\\\" (Preferred) and \\\"Ordinaires\\\" (Ordinary).\\n4.  **NOMBRE DE VOIX** (Number of Votes).\\n5.  **SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES** (Signature of Shareholders or Proxies).\\n\\nI need to go row by row.\\n\\n**Row 1:**\\n- No: 1\\n- Name/Address: M. BREHAM Alain / 45 Boulevard Charcot - Neuilly s/Seine (Seine)\\n- Actions Priorit\u00e9: 520\\n- Actions Ordinaires: 179\\n- Votes: 699\\n- Signature: Looks like \\\"Pa\\\" or initials.\\n\\n**Row 2:**\\n- No: 2\\n- Name/Address: M. BREHAM Marc / 16, rue Saint Pierre - Neuilly s/Seine (Seine)\\n- Actions Priorit\u00e9: 520\\n- Actions Ordinaires: 179\\n- Votes: 699\\n- Signature: \\\"Pa\\\"\\n\\n**Row 3:**\\n- No: 3\\n- Name/Address: M. STRAP Pierre / 73 rue des Vignes - Paris (16e)\\n- Actions Priorit\u00e9: 80\\n- Actions Ordinaires: 68\\n- Votes: 148\\n- Signature: \\\"Pa\\\"\\n\\n**Row 4:**\\n- No: 4\\n- Name/Address: M. MASSON Daniel / 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\n- Actions Priorit\u00e9: - (dash)\\n- Actions Ordinaires: 10\\n- Votes: 10\\n- Signature: \\\"Pa\\\"\\n\\n**Row 5:**\\n- No: 5\\n- Name/Address: Cie Centrale de Mines & de M\u00e9tallurgie SICLI / 11 bis Rue Balzac - Paris (8e)\\n- Actions Priorit\u00e9: 822\\n- Actions Ordinaires: 168\\n- Votes: 990\\n- Signature: \\\"Pa\\\"\\n\\n**Row 6:**\\n- No: 6\\n- Name/Address: Soci\u00e9t\u00e9 des Mines de l'Aurieras / 11 bis Rue Balzac - Paris (8e)\\n- Actions Priorit\u00e9: 355\\n- Actions Ordinaires: 45\\n- Votes: 400\\n- Signature: \\\"Pa\\\"\\n\\n**Row 7:**\\n- No: 7\\n- Name/Address: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises / 11 bis Rue Balzac - Paris (8e)\\n- Actions Priorit\u00e9: 10\\n- Actions Ordinaires: -\\n- Votes: 10\\n- Signature: \\\"Pa\\\"\\n\\n**Row 8:**\\n- No: 8\\n- Name/Address: M. PANI Antonio\\n- Actions Priorit\u00e9: 1\\n- Actions Ordinaires: 10\\n- Votes: 11\\n- Signature: \\\"Pa\\\"\\n\\n**Row 9:**\\n- No: 9\\n- Name/Address: M. PANI Terenzio\\n- Actions Priorit\u00e9: 1\\n- Actions Ordinaires: -\\n- Votes: 1\\n- Signature: \\\"Pa\\\"\\n\\n**Row 10:**\\n- No: 10\\n- Name/Address: M. SPIESS Giangiorgio\\n- Actions Priorit\u00e9: 1\\n- Actions Ordinaires: -\\n- Votes: 1\\n- Signature: (Empty/Not visible clearly, maybe cut off)\\n\\n**Footer:**\\n- A REPORTER: 2310 / 659 / 2969\\n\\nLet's refine the Name/Address splitting.\\n- Row 1: Name: M. BREHAM Alain. Address: 45 Boulevard Charcot - Neuilly s/Seine (Seine)\\n- Row 2: Name: M. BREHAM Marc. Address: 16, rue Saint Pierre - Neuilly s/Seine (Seine)\\n- Row 3: Name: M. STRAP Pierre. Address: 73 rue des Vignes - Paris (16e)\\n- Row 4: Name: M. MASSON Daniel. Address: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\n- Row 5: Name: Cie Centrale de Mines & de M\u00e9tallurgie SICLI. Address: 11 bis Rue Balzac - Paris (8e)\\n- Row 6: Name: Soci\u00e9t\u00e9 des Mines de l'Aurieras. Address: 11 bis Rue Balzac - Paris (8e)\\n- Row 7: Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises. Address: 11 bis Rue Balzac - Paris (8e)\\n- Row 8: Name: M. PANI Antonio. Address: (None listed)\\n- Row 9: Name: M. PANI Terenzio. Address: (None listed)\\n- Row 10: Name: M. SPIESS Giangiorgio. Address: (None listed)\\n\\nWait, looking closely at Row 8, 9, 10.\\nRow 8: \\\"M. PANI Antonio\\\". No address underneath.\\nRow 9: \\\"M. PANI Terenzio\\\". No address underneath.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". No address underneath.\\n\\nLet's check the dashes.\\nRow 1: \\\"45 Boulevard Charcot - Neuilly s/Seine (Seine)\\\" -> The dash is part of the address.\\nRow 2: \\\"16, rue Saint Pierre - Neuilly s/Seine (Seine)\\\" -> Dash is part of address.\\nRow 3: \\\"73 rue des Vignes - Paris (16e)\\\" -> Dash is part of address.\\nRow 4: \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\" -> Dash is part of address.\\nRow 5: \\\"11 bis Rue Balzac - Paris (8e)\\\" -> Dash is part of address.\\nRow 6: \\\"11 bis Rue Balzac - Paris (8e)\\\" -> Dash is part of address.\\nRow 7: \\\"11 bis Rue Balzac - Paris (8e)\\\" -> Dash is part of address.\\n\\nThe instruction says: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nLooking at the image, the name is on the first line, address on the second line. There isn't really a dash *between* them, just a line break.\\nWait, let's look at row 1. \\\"M. BREHAM Alain\\\" is on one line. \\\"45 Boulevard Charcot...\\\" is on the next.\\nRow 5: \\\"Cie Centrale...\\\" is on one line. \\\"11 bis Rue Balzac...\\\" is on the next.\\nSo I will just split by the newline.\\n\\nLet's re-verify the numbers.\\nRow 1: 520, 179, 699. Correct.\\nRow 2: 520, 179, 699. Correct.\\nRow 3: 80, 68, 148. Correct.\\nRow 4: -, 10, 10. Correct.\\nRow 5: 822, 168, 990. Correct.\\nRow 6: 355, 45, 400. Correct.\\nRow 7: 10, -, 10. Correct.\\nRow 8: 1, 10, 11. Correct.\\nRow 9: 1, -, 1. Correct.\\nRow 10: 1, -, 1. Correct.\\n\\nFooter: 2310, 659, 2969. Correct.\\n\\nOne detail: Row 5 name \\\"Cie Centrale de Mines & de M\u00e9tallurgie SICLI\\\". 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Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_19_Assembl\u00e9e Mine d. 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Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_2\",\"page_number\":2,\"entries\":[{\"number\":\"11\",\"name\":\"Mme BRON Odile\",\"address\":\"7,quai du mont Blanc\\nGENEVE\",\"actions_o\":\"012\",\"actions_p\":\"44\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"12\",\"name\":\"Mme BRON-RUSSENIER\",\"address\":\"Surville,Petit Lancy GENEVE\\nSurville (Suisse)\",\"actions_o\":\"\",\"actions_p\":\"72\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"13\",\"name\":\"COMPAGNIE CENTRALE-IMMOBILIERE\\net de METALLURGIE-LILLE (80)\",\"address\":\"Bureau PARIS (8e)\",\"actions_o\":\"\",\"actions_p\":\"65\",\"no_de_voix\":\"13\",\"signature_present\":true,\"signature\":\"\"},{\"number\":\"14\",\"name\":\"Mme COUSIN Georges\",\"address\":\"2,rue de Crevier DE LA MINE\",\"actions_o\":\"\",\"actions_p\":\"210\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"15\",\"name\":\"M. 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POUQUET Maurice\\\", \\\"no_de_voix\\\": \\\"\\\", \\\"number\\\": \\\"26\\\", \\\"signature\\\": \\\"\\\", \\\"signature_present\\\": false}, {\\\"actions_o\\\": \\\"10\\\", \\\"actions_p\\\": \\\"\\\", \\\"address\\\": \\\"195 rue de Grenelle PARIS\\\", \\\"name\\\": \\\"Mme RAOULT Suzanne\\\", \\\"no_de_voix\\\": \\\"\\\", \\\"number\\\": \\\"27\\\", \\\"signature\\\": \\\"\\\", \\\"signature_present\\\": false}, {\\\"actions_o\\\": \\\"38\\\", \\\"actions_p\\\": \\\"\\\", \\\"address\\\": \\\"37bis Promenade des Anglais MICE (A-M)\\\", \\\"name\\\": \\\"Suc.RICHOMME de POSSON (Mme)\\\", \\\"no_de_voix\\\": \\\"\\\", \\\"number\\\": \\\"28\\\", \\\"signature\\\": \\\"\\\", \\\"signature_present\\\": false}, {\\\"actions_o\\\": \\\"10\\\", \\\"actions_p\\\": \\\"\\\", \\\"address\\\": \\\"5,Avenue Weber GENEVE (Suisse)\\\", \\\"name\\\": \\\"Mme SAVAHEY M.L.\\\", \\\"no_de_voix\\\": \\\"\\\", \\\"number\\\": \\\"29\\\", \\\"signature\\\": \\\"\\\", \\\"signature_present\\\": false}, {\\\"actions_o\\\": \\\"1\\\", \\\"actions_p\\\": \\\"\\\", \\\"address\\\": \\\"34,Bd Marbeau PARIS (16\u00b0)\\\", \\\"name\\\": \\\"M. SCHERESCHWESKY Philippe\\\", \\\"no_de_voix\\\": \\\"\\\", \\\"number\\\": \\\"30\\\", \\\"signature\\\": \\\"\\\", \\\"signature_present\\\": false} ]\\n, \\\"page_number\\\": 3\\n, \\\"total_actions\\\":   {\\\"total_o\\\":   \\\"\\\", \\\"total_p\\\":  \\\"\\\"\\n, \\\"total_voix\\\":  \\\"\\\"\\n}\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\",\"page_number\":3,\"entries\":[{\"number\":\"21\",\"name\":\"M.de la FONTAINE Lionel\",\"address\":\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\",\"actions_o\":\"556\",\"actions_p\":\"2403\",\"no_de_voix\":\"2\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"22\",\"name\":\"M.LAUMAIN Robert\",\"address\":\"24 Avenue Gambetta MONTROUGE\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Paul\"},{\"number\":\"23\",\"name\":\"Suc.LHOEST Paul (Mme)\",\"address\":\"1,rue J.B.Colyns IXELLES-BRUXELLES.\",\"actions_o\":\"\",\"actions_p\":\"150\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"24\",\"name\":\"M.MASSON Daniel\",\"address\":\"3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Paul\"},{\"number\":\"25\",\"name\":\"M. PANI Antonio\",\"address\":\"SESSA (Tessin) Suisse\",\"actions_o\":\"10\",\"actions_p\":\"1\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Paul\"},{\"number\":\"26\",\"name\":\"M. POUQUET Maurice\",\"address\":\"Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"27\",\"name\":\"Mme RAOULT Suzanne\",\"address\":\"195 rue de Grenelle PARIS\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"28\",\"name\":\"Suc.RICHOMME de POSSON (Mme)\",\"address\":\"37bis Promenade des Anglais MICE (A-M)\",\"actions_o\":\"38\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"29\",\"name\":\"Mme SAVAHEY M.L.\",\"address\":\"5,Avenue Weber GENEVE (Suisse)\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"30\",\"name\":\"M. SCHERESCHWESKY Philippe\",\"address\":\"34,Bd Marbeau PARIS (16\u00b0)\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"\",\"total_p\":\"\",\"total_voix\":\"\"}},\"reasoning\":\"The user wants me to extract metadata from the provided image of a document.\\nThe document appears to be a list of shareholders (actionnaires) from a meeting, likely a general assembly.\\nI need to extract specific fields:\\n- **Name**: The name of the shareholder.\\n- **Address**: The address of the shareholder.\\n- **Actions**: The number of shares (actions) held.\\n- **Votes**: The number of votes (voix).\\n- **Signature**: The signature or note in the signature column.\\n\\nThe user specifies:\\n- \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n- \\\"Lose any dashes between name and address but preserve linebreaks.\\\" -> This means if the name and address are on the same line separated by a dash, I need to split them. If they are on separate lines, I keep the line break.\\n- \\\"Be aware: Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\" -> This is a bit tricky. Looking at the image, the names and addresses are often on the same line or stacked.\\n    - Example 21: \\\"M.de la FONTAINE Lionel\\\" is on one line, \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\" is on the next. Wait, looking closely at row 21, \\\"M.de la FONTAINE Lionel\\\" is on the first line of the cell, and \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\" is on the second line. There isn't a dash separating them visually in a way that suggests a single string.\\n    - Example 22: \\\"M.LAUMAIN Robert\\\" and \\\"24 Avenue Gambetta MONTROUGE\\\".\\n    - Example 23: \\\"Suc.LHOEST Paul (Mme)\\\" and \\\"1,rue J.B.Colyns IXELLES-BRUXELLES.\\\"\\n    - Example 24: \\\"M.MASSON Daniel\\\" and \\\"3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\".\\n    - Example 25: \\\"M. PANI Antonio\\\" and \\\"SESSA (Tessin) Suisse\\\".\\n    - Example 26: \\\"M. POUQUET Maurice\\\" and \\\"Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\\".\\n    - Example 27: \\\"Mme RAOULT Suzanne\\\" and \\\"195 rue de Grenelle PARIS\\\".\\n    - Example 28: \\\"Suc.RICHOMME de POSSON (Mme)\\\" and \\\"37bis Promenade des Anglais MICE (A-M)\\\".\\n    - Example 29: \\\"Mme SAVAHEY M.L.\\\" and \\\"5,Avenue Weber GENEVE (Suisse)\\\".\\n    - Example 30: \\\"M. SCHERESCHWESKY Philippe\\\" and \\\"34,Bd Marbeau PARIS (16\u00b0)\\\".\\n\\nLet's look at the \\\"Actions\\\" column. It has sub-columns \\\"de Priorit\u00e9\\\" (Priority) and \\\"ordinaire\\\" (Ordinary).\\n- Row 21: Priority 2403, Ordinary 556.\\n- Row 22: Ordinary 1.\\n- Row 23: Priority 150.\\n- Row 24: Ordinary 10.\\n- Row 25: Priority 1, Ordinary 10.\\n- Row 26: Ordinary 1.\\n- Row 27: Ordinary 10.\\n- Row 28: Ordinary 38.\\n- Row 29: Ordinary 10.\\n- Row 30: Ordinary 1.\\n\\nLet's look at the \\\"Nombre de voix\\\" (Number of votes) column. It seems empty or merged with the actions column in some places, or just blank. Wait, looking at the header \\\"NOMBRE DE VOIX\\\", the column next to it is empty for most rows. Wait, let me re-examine.\\nThe header is \\\"ACTIONS\\\" split into \\\"de Priorit\u00e9\\\" and \\\"ordinaire\\\". Then \\\"NOMBRE DE VOIX\\\".\\nActually, looking at the numbers:\\n- Row 21: Under \\\"de Priorit\u00e9\\\" is 2403. Under \\\"ordinaire\\\" is 556.\\n- Row 22: Under \\\"ordinaire\\\" is 1.\\n- Row 23: Under \\\"de Priorit\u00e9\\\" is 150.\\n- Row 24: Under \\\"ordinaire\\\" is 10.\\n- Row 25: Under \\\"de Priorit\u00e9\\\" is 1. Under \\\"ordinaire\\\" is 10.\\n- Row 26: Under \\\"ordinaire\\\" is 1.\\n- Row 27: Under \\\"ordinaire\\\" is 10.\\n- Row 28: Under \\\"ordinaire\\\" is 38.\\n- Row 29: Under \\\"ordinaire\\\" is 10.\\n- Row 30: Under \\\"ordinaire\\\" is 1.\\n\\nThe \\\"NOMBRE DE VOIX\\\" column seems to be empty or the numbers are just in the actions columns. Wait, let's look at the header again.\\n\\\"ACTIONS\\\" is a super-header. Under it are \\\"de Priorit\u00e9\\\" and \\\"ordinaire\\\".\\nThen \\\"NOMBRE DE VOIX\\\".\\nThe numbers 2403, 556, 1, 150, 10, 1, 10, 1, 10, 38, 10, 1 are clearly share counts.\\nThe column \\\"NOMBRE DE VOIX\\\" is empty.\\n\\nLet's look at the \\\"SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\\" column.\\n- Row 22: \\\"Aut. Paul\\\" (Authorized by Paul?)\\n- Row 24: \\\"Aut. Paul\\\"\\n- Row 25: \\\"Aut. Paul\\\"\\n\\nLet's refine the extraction for each row.\\n\\n**Row 21:**\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Actions (Priority): 2403\\n- Actions (Ordinary): 556\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 22:**\\n- Name: M.LAUMAIN Robert\\n- Address: 24 Avenue Gambetta MONTROUGE\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 1\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\n**Row 23:**\\n- Name: Suc.LHOEST Paul (Mme)\\n- Address: 1,rue J.B.Colyns IXELLES-BRUXELLES.\\n- Actions (Priority): 150\\n- Actions (Ordinary): (Empty)\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 24:**\\n- Name: M.MASSON Daniel\\n- Address: 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\n**Row 25:**\\n- Name: M. PANI Antonio\\n- Address: SESSA (Tessin) Suisse\\n- Actions (Priority): 1\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\n**Row 26:**\\n- Name: M. POUQUET Maurice\\n- Address: Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 27:**\\n- Name: Mme RAOULT Suzanne\\n- Address: 195 rue de Grenelle PARIS\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 28:**\\n- Name: Suc.RICHOMME de POSSON (Mme)\\n- Address: 37bis Promenade des Anglais MICE (A-M)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 38\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 29:**\\n- Name: Mme SAVAHEY M.L.\\n- Address: 5,Avenue Weber GENEVE (Suisse)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 30:**\\n- Name: M. SCHERESCHWESKY Philippe\\n- Address: 34,Bd Marbeau PARIS (16\u00b0)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nWait, looking at the very top row \\\"REPORT\\\".\\n- Actions (Priority): 2403\\n- Actions (Ordinary): 556\\nThis looks like a total or a previous entry carried over. The prompt asks to extract metadata. I should probably include the rows 21-30. The \\\"REPORT\\\" row is a header/total line. I will focus on the specific entries.\\n\\nLet's re-read the \\\"Actions\\\" column carefully.\\nRow 21: Under \\\"de Priorit\u00e9\\\" is 2403. Under \\\"ordinaire\\\" is 556.\\nRow 22: Under \\\"ordinaire\\\" is 1.\\nRow 23: Under \\\"de Priorit\u00e9\\\" is 150.\\nRow 24: Under \\\"ordinaire\\\" is 10.\\nRow 25: Under \\\"de Priorit\u00e9\\\" is 1. Under \\\"ordinaire\\\" is 10.\\nRow 26: Under \\\"ordinaire\\\" is 1.\\nRow 27: Under \\\"ordinaire\\\" is 10.\\nRow 28: Under \\\"ordinaire\\\" is 38.\\nRow 29: Under \\\"ordinaire\\\" is 10.\\nRow 30: Under \\\"ordinaire\\\" is 1.\\n\\nThe \\\"NOMBRE DE VOIX\\\" column is indeed empty.\\nThe \\\"SIGNATURE\\\" column has \\\"Aut. Paul\\\" for rows 22, 24, 25.\\n\\nLet's format the output.\\nThe user wants:\\n- Name\\n- Address\\n- Actions (Priority)\\n- Actions (Ordinary)\\n- Votes\\n- Signature\\n\\nI will combine the extracted data into a list of dictionaries or a structured text. The prompt implies a specific format but doesn't explicitly state it, just \\\"extract the metadata according to the given output format.\\\" Wait, there is no \\\"given output format\\\" provided in the prompt text, just the instruction. I will assume a standard JSON or list format is best, or just a clear text representation. Looking at similar tasks, a list of dictionaries is usually good. Or maybe just the fields. Let's look at the prompt again: \\\"Please extract the metadata according to the given output format.\\\" This usually implies a specific JSON structure was expected but not provided, or I should infer a standard one. I will provide a JSON list.\\n\\nWait, looking at the image again, row 21 \\\"M.de la FONTAINE Lionel\\\" has \\\"2\\\" in the \\\"NOMBRE DE VOIX\\\" column? No, that \\\"2\\\" is under \\\"ordinaire\\\" actions column? No, let's look really closely.\\nRow 21:\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Actions Priority: 2403\\n- Actions Ordinary: 556\\n- Votes: There is a faint \\\"2\\\" in the votes column? Or is it under ordinary actions? It looks like it's under the \\\"NOMBRE DE VOIX\\\" column. Let's assume it's 2 votes.\\nActually, looking at row 22, there is a \\\"1\\\" under \\\"ordinaire\\\" actions.\\nRow 21 has \\\"2403\\\" under Priority and \\\"556\\\" under Ordinary. Then to the right, under \\\"NOMBRE DE VOIX\\\", there is a \\\"2\\\".\\nLet's check row 25. \\\"1\\\" under Priority, \\\"10\\\" under Ordinary. To the right, under \\\"NOMBRE DE VOIX\\\", it's empty.\\nLet's check row 24. \\\"10\\\" under Ordinary. To the right, under \\\"NOMBRE DE VOIX\\\", it's empty.\\nWait, let's look at the column alignment.\\nHeader: ACTIONS (split into de Priorit\u00e9 / ordinaire) | NOMBRE DE VOIX | SIGNATURE...\\nRow 21: 2403 (Priority) | 556 (Ordinary) | (Empty) | (Empty)\\nWait, the \\\"2\\\" in row 21 is under \\\"NOMBRE DE VOIX\\\".\\nRow 22: (Empty) | 1 (Ordinary) | (Empty) | Aut. Paul\\nRow 23: 150 (Priority) | (Empty) | (Empty) | (Empty)\\nRow 24: (Empty) | 10 (Ordinary) | (Empty) | Aut. Paul\\nRow 25: 1 (Priority) | 10 (Ordinary) | (Empty) | Aut. Paul\\nRow 26: (Empty) | 1 (Ordinary) | (Empty) | (Empty)\\nRow 27: (Empty) | 10 (Ordinary) | (Empty) | (Empty)\\nRow 28: (Empty) | 38 (Ordinary) | (Empty) | (Empty)\\nRow 29: (Empty) | 10 (Ordinary) | (Empty) | (Empty)\\nRow 30: (Empty) | 1 (Ordinary) | (Empty) | (Empty)\\n\\nActually, looking really closely at Row 21, the \\\"2\\\" is under \\\"NOMBRE DE VOIX\\\".\\nLooking at Row 22, the \\\"1\\\" is under \\\"ordinaire\\\".\\nLooking at Row 23, the \\\"150\\\" is under \\\"de Priorit\u00e9\\\".\\nLooking at Row 24, the \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 25, \\\"1\\\" is under \\\"de Priorit\u00e9\\\", \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 26, \\\"1\\\" is under \\\"ordinaire\\\".\\nLooking at Row 27, \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 28, \\\"38\\\" is under \\\"ordinaire\\\".\\nLooking at Row 29, \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 30, \\\"1\\\" is under \\\"ordinaire\\\".\\n\\nSo the \\\"NOMBRE DE VOIX\\\" column is mostly empty except for the \\\"2\\\" in row 21.\\n\\nLet's refine the \\\"Name\\\" and \\\"Address\\\" extraction.\\nThe prompt says: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis implies that in the source text, Name and Address might be separated by a dash or just on different lines.\\nIn the image:\\nRow 21:\\nLine 1: M.de la FONTAINE Lionel\\nLine 2: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\nThere is no dash. Just a line break. So Name = \\\"M.de la FONTAINE Lionel\\\", Address = \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\".\\n\\nRow 22:\\nLine 1: M.LAUMAIN Robert\\nLine 2: 24 Avenue Gambetta MONTROUGE\\nName = \\\"M.LAUMAIN Robert\\\", Address = \\\"24 Avenue Gambetta MONTROUGE\\\".\\n\\nRow 23:\\nLine 1: Suc.LHOEST Paul (Mme)\\nLine 2: 1,rue J.B.Colyns IXELLES-BRUXELLES.\\nName = \\\"Suc.LHOEST Paul (Mme)\\\", Address = \\\"1,rue J.B.Colyns IXELLES-BRUXELLES.\\\"\\n\\nRow 24:\\nLine 1: M.MASSON Daniel\\nLine 2: 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\nName = \\\"M.MASSON Daniel\\\", Address = \\\"3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\"\\n\\nRow 25:\\nLine 1: M. PANI Antonio\\nLine 2: SESSA (Tessin) Suisse\\nName = \\\"M. PANI Antonio\\\", Address = \\\"SESSA (Tessin) Suisse\\\"\\n\\nRow 26:\\nLine 1: M. POUQUET Maurice\\nLine 2: Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\nName = \\\"M. POUQUET Maurice\\\", Address = \\\"Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\\"\\n\\nRow 27:\\nLine 1: Mme RAOULT Suzanne\\nLine 2: 195 rue de Grenelle PARIS\\nName = \\\"Mme RAOULT Suzanne\\\", Address = \\\"195 rue de Grenelle PARIS\\\"\\n\\nRow 28:\\nLine 1: Suc.RICHOMME de POSSON (Mme)\\nLine 2: 37bis Promenade des Anglais MICE (A-M)\\nName = \\\"Suc.RICHOMME de POSSON (Mme)\\\", Address = \\\"37bis Promenade des Anglais MICE (A-M)\\\"\\n\\nRow 29:\\nLine 1: Mme SAVAHEY M.L.\\nLine 2: 5,Avenue Weber GENEVE (Suisse)\\nName = \\\"Mme SAVAHEY M.L.\\\", Address = \\\"5,Avenue Weber GENEVE (Suisse)\\\"\\n\\nRow 30:\\nLine 1: M. SCHERESCHWESKY Philippe\\nLine 2: 34,Bd Marbeau PARIS (16\u00b0)\\nName = \\\"M. SCHERESCHWESKY Philippe\\\", Address = \\\"34,Bd Marbeau PARIS (16\u00b0)\\\"\\n\\nThe prompt mentions \\\"Lose any dashes between name and address\\\". This suggests that sometimes they might be on the same line like \\\"Name - Address\\\". In this document, they are on separate lines. So I just take the top line as Name and bottom line as Address.\\n\\nOne detail: Row 21 has \\\"REPORT\\\" above it. I will ignore that.\\nThe \\\"A REPORTER\\\" at the bottom is a footer.\\n\\nI will formulate the response as a list of dictionaries.\\n\\nOne final check on the \\\"Actions\\\" columns.\\nRow 21: Priority 2403, Ordinary 556.\\nRow 22: Ordinary 1.\\nRow 23: Priority 150.\\nRow 24: Ordinary 10.\\nRow 25: Priority 1, Ordinary 10.\\nRow 26: Ordinary 1.\\nRow 27: Ordinary 10.\\nRow 28: Ordinary 38.\\nRow 29: Ordinary 10.\\nRow 30: Ordinary 1.\\n\\nThe \\\"NOMBRE DE VOIX\\\" column is empty for all rows except possibly row 21 where there is a \\\"2\\\". I'll include it if I see it clearly. Looking at crop 1, row 21, under \\\"NOMBRE DE VOIX\\\", there is a \\\"2\\\".\\nWait, let's look at the full image again.\\nRow 21:\\n- Col 1: 21\\n- Col 2: M.de la FONTAINE Lionel / Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Col 3 (Actions Priority): 2403\\n- Col 4 (Actions Ordinary): 556\\n- Col 5 (Votes): 2\\n- Col 6 (Signature): (Empty)\\n\\nRow 22:\\n- Col 1: 22\\n- Col 2: M.LAUMAIN Robert / 24 Avenue Gambetta MONTROUGE\\n- Col 3: (Empty)\\n- Col 4: 1\\n- Col 5: (Empty)\\n- Col 6: Aut. Paul\\n\\nRow 23:\\n- Col 1: 23\\n- Col 2: Suc.LHOEST Paul (Mme) / 1,rue J.B.Colyns IXELLES-BRUXELLES.\\n- Col 3: 150\\n- Col 4: (Empty)\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 24:\\n- Col 1: 24\\n- Col 2: M.MASSON Daniel / 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n- Col 3: (Empty)\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: Aut. Paul\\n\\nRow 25:\\n- Col 1: 25\\n- Col 2: M. PANI Antonio / SESSA (Tessin) Suisse\\n- Col 3: 1\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: Aut. Paul\\n\\nRow 26:\\n- Col 1: 26\\n- Col 2: M. POUQUET Maurice / Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\n- Col 3: (Empty)\\n- Col 4: 1\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 27:\\n- Col 1: 27\\n- Col 2: Mme RAOULT Suzanne / 195 rue de Grenelle PARIS\\n- Col 3: (Empty)\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 28:\\n- Col 1: 28\\n- Col 2: Suc.RICHOMME de POSSON (Mme) / 37bis Promenade des Anglais MICE (A-M)\\n- Col 3: (Empty)\\n- Col 4: 38\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 29:\\n- Col 1: 29\\n- Col 2: Mme SAVAHEY M.L. / 5,Avenue Weber GENEVE (Suisse)\\n- Col 3: (Empty)\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 30:\\n- Col 1: 30\\n- Col 2: M. SCHERESCHWESKY Philippe / 34,Bd Marbeau PARIS (16\u00b0)\\n- Col 3: (Empty)\\n- Col 4: 1\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nThe \\\"A REPORTER\\\" line at the bottom has numbers \\\"2556 - 924\\\" (maybe totals?).\\n2403 + 150 + 1 + 1 + 38 + 10 + 10 + 1 = 2613? No.\\nLet's sum Priority: 2403 + 150 + 1 = 2554.\\nLet's sum Ordinary: 556 + 1 + 10 + 10 + 1 + 10 + 38 + 10 + 1 = 617.\\nTotal: 2554 + 617 = 3171.\\nThe number at the bottom is \\\"2556 - 924\\\". This doesn't match my sum.\\nMaybe the \\\"2\\\" in row 21 votes is actually a share count? No, it's in the votes column.\\nMaybe the \\\"150\\\" in row 23 is ordinary? No, it's under Priority.\\nLet's re-examine row 23. \\\"150\\\" is under \\\"de Priorit\u00e9\\\".\\nLet's re-examine row 21. \\\"2403\\\" under Priority, \\\"556\\\" under Ordinary.\\nLet's re-examine row 25. \\\"1\\\" under Priority, \\\"10\\\" under Ordinary.\\nLet's re-examine row 28. \\\"38\\\" under Ordinary.\\n\\nWait, looking at the bottom number \\\"2556\\\".\\n2403 (Row 21 Priority) + 150 (Row 23 Priority) + 1 (Row 25 Priority) = 2554. Close to 2556. Maybe I missed something.\\nAh, row 21 has a \\\"2\\\" in the votes column. Maybe that's not a vote count but something else? No, column header is \\\"NOMBRE DE VOIX\\\".\\nMaybe there are other rows not fully visible or I misread a number.\\nRow 21: 2403.\\nRow 23: 150.\\nRow 25: 1.\\nSum = 2554.\\nThe bottom number is 2556. Difference is 2.\\nMaybe the \\\"2\\\" in row 21 votes column is actually a share count? No, it's in the votes column.\\nMaybe there's a hidden row or I missed a \\\"2\\\" somewhere.\\nOr maybe the \\\"2\\\" in row 21 is actually part of the address? \\\"Bo\u00eete postale 41...\\\". No.\\nMaybe the \\\"2\\\" in row 21 is actually \\\"2\\\" votes.\\nLet's assume the bottom number is a total of priority shares. 2554 vs 2556. Maybe row 23 is 152? No, looks like 150.\\nMaybe row 25 is 3? No, looks like 1.\\nMaybe row 21 is 2405? No, looks like 2403.\\nMaybe there is a row above 21 that is cut off? The image shows \\\"REPORT\\\" above 21.\\nMaybe the \\\"2\\\" in row 21 votes column is actually a share count for priority? No, it's in the votes column.\\nWait, let's look at the \\\"A REPORTER\\\" line again. \\\"2556 - 924\\\".\\nMaybe 2556 is the total priority shares.\\n2403 + 150 + 1 = 2554.\\nWhere do the other 2 come from?\\nMaybe row 21 has 2405? The last digit is a bit blurry. Could be a 5? 2405 + 150 + 1 = 2556. Yes! That fits perfectly.\\nSo Row 21 Priority is 2405.\\nLet's look at the image again. The number is \\\"2403\\\". The last digit has a loop at the top and a straight line down. It looks like a 3. But mathematically it should be a 5 to make 2556. Or maybe 2403 + 150 + 1 + 2 (votes?) = 2556.\\nIf the \\\"2\\\" in the votes column is actually a share count that was miscategorized? Unlikely.\\nIf the \\\"2\\\" in the votes column is added to the priority total? 2554 + 2 = 2556. This is plausible if the \\\"2\\\" represents 2 priority shares that were somehow counted separately or if the \\\"2\\\" is actually a share count in the priority column but shifted? No, it's clearly in the votes column.\\nHowever, for the purpose of extraction, I should transcribe what I see.\\nI see \\\"2403\\\". I see \\\"2\\\" in the votes column.\\nI will transcribe \\\"2403\\\" for Priority Actions.\\nI will transcribe \\\"2\\\" for Votes.\\n\\nLet's check the Ordinary total: 924.\\n556 (Row 21) + 1 (Row 22) + 10 (Row 24) + 10 (Row 25) + 1 (Row 26) + 10 (Row 27) + 38 (Row 28) + 10 (Row 29) + 1 (Row 30).\\nSum: 556 + 1 + 10 + 10 + 1 + 10 + 38 + 10 + 1 = 617.\\nThis is far from 924.\\nMaybe I missed rows.\\nThe image shows rows 21 to 30.\\nMaybe the \\\"REPORT\\\" row has numbers?\\nUnder \\\"de Priorit\u00e9\\\": 2403. Under \\\"ordinaire\\\": 556.\\nWait, the \\\"REPORT\\\" row has \\\"2403\\\" and \\\"556\\\".\\nThen row 21 has... wait.\\nLet's look at the structure again.\\nThe first row of data is \\\"21 M.de la FONTAINE...\\\".\\nAbove it is \\\"REPORT\\\".\\nUnder \\\"de Priorit\u00e9\\\" for REPORT is \\\"2403\\\".\\nUnder \\\"ordinaire\\\" for REPORT is \\\"556\\\".\\nThen for row 21, under \\\"de Priorit\u00e9\\\" is... blank?\\nUnder \\\"ordinaire\\\" is... blank?\\nWait, let's look at the numbers \\\"2403\\\" and \\\"556\\\". They are aligned with the \\\"REPORT\\\" row.\\nThen for row 21, there are no numbers in the actions columns?\\nNo, looking closely at row 21, there are no numbers in the actions columns.\\nWait, let's look at row 22. Under \\\"ordinaire\\\" is \\\"1\\\".\\nRow 23. Under \\\"de Priorit\u00e9\\\" is \\\"150\\\".\\nRow 24. Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 25. Under \\\"de Priorit\u00e9\\\" is \\\"1\\\". Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 26. Under \\\"ordinaire\\\" is \\\"1\\\".\\nRow 27. Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 28. Under \\\"ordinaire\\\" is \\\"38\\\".\\nRow 29. Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 30. Under \\\"ordinaire\\\" is \\\"1\\\".\\n\\nSo the \\\"REPORT\\\" row seems to be a total of the previous page (page 2 presumably).\\n\\\"2403\\\" priority shares and \\\"556\\\" ordinary shares.\\nThen the current page (page 3) lists shareholders 21-30.\\nThe \\\"A REPORTER\\\" at the bottom has \\\"2556 - 924\\\".\\n2556 = 2403 (from Report) + 150 (Row 23) + 1 (Row 25) + 2 (from where?).\\n2403 + 150 + 1 = 2554. Still missing 2.\\nMaybe the \\\"2\\\" in row 21 votes column is actually a priority share count?\\nIf Row 21 has 2 priority shares, then 2403 + 2 + 150 + 1 = 2556. Yes!\\nSo the \\\"2\\\" in row 21, under \\\"NOMBRE DE VOIX\\\" column, is actually a share count in the \\\"de Priorit\u00e9\\\" column?\\nNo, the column \\\"NOMBRE DE VOIX\\\" is to the right of \\\"ordinaire\\\".\\nLet's look at the column headers again.\\n\\\"ACTIONS\\\" -> \\\"de Priorit\u00e9\\\" | \\\"ordinaire\\\"\\n\\\"NOMBRE DE VOIX\\\"\\n\\\"SIGNATURE...\\\"\\n\\nIn row 21:\\n- Under \\\"de Priorit\u00e9\\\": Blank? Or is \\\"2403\\\" from the Report row actually belonging to row 21?\\nThe \\\"REPORT\\\" text is centered above row 21.\\nThe numbers \\\"2403\\\" and \\\"556\\\" are on the line of \\\"REPORT\\\".\\nSo \\\"REPORT\\\" is a header for the total from the previous page.\\nThen row 21 starts.\\nWhere are the numbers for row 21?\\nLooking at row 21, there are no numbers in the actions columns.\\nWait, let's look at row 21 again.\\n\\\"M.de la FONTAINE Lionel\\\"\\n\\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\"\\nTo the right, under \\\"NOMBRE DE VOIX\\\", there is a \\\"2\\\".\\nIs it possible that the \\\"2403\\\" and \\\"556\\\" are actually for row 21?\\nThe \\\"REPORT\\\" label is just above the line.\\nIf \\\"2403\\\" and \\\"556\\\" are for row 21, then:\\nPriority: 2403\\nOrdinary: 556\\nVotes: 2\\nThis fits the visual layout. The \\\"REPORT\\\" label is just indicating that this is a report of shares, or maybe it's a label for the section. But usually \\\"Report\\\" means \\\"Carry forward\\\".\\nIf \\\"2403\\\" and \\\"556\\\" are for row 21, then the total at the bottom \\\"2556\\\" makes sense if we add the priority shares from this page.\\n2403 (Row 21) + 150 (Row 23) + 1 (Row 25) = 2554. Still missing 2.\\nUnless the \\\"2\\\" in the votes column is actually a priority share.\\nOr maybe I missed a row.\\nLet's look at the very top. There is a black mark.\\nMaybe there is a row 20?\\nThe numbering starts at 21.\\nSo row 21 is the first on this page.\\nIf \\\"2403\\\" and \\\"556\\\" are for row 21, then the \\\"REPORT\\\" label is confusing. Maybe it means \\\"Reported by...\\\"? No, \\\"Report\\\" usually means \\\"A reporter\\\" (to be continued).\\nBut the numbers are there.\\nLet's assume the numbers \\\"2403\\\" and \\\"556\\\" belong to row 21.\\nThen the \\\"2\\\" in the votes column is just votes.\\nThen the total \\\"2556\\\" at the bottom:\\n2403 (Row 21 Priority) + 150 (Row 23 Priority) + 1 (Row 25 Priority) = 2554.\\nStill missing 2.\\nMaybe Row 23 is 152? No, looks like 150.\\nMaybe Row 25 is 3? No, looks like 1.\\nMaybe there is a hidden row.\\nOr maybe the \\\"2\\\" in row 21 votes column is actually a priority share count that was written in the wrong column?\\nIf Row 21 has 2403 + 2 = 2405 priority shares.\\nThen 2405 + 150 + 1 = 2556. This matches perfectly!\\nSo, Row 21 has 2403 priority shares, and 2 additional priority shares (maybe written in the votes column by mistake or as a separate count?).\\nOr maybe the \\\"2403\\\" is actually \\\"2405\\\" and the last digit is a 5?\\nLooking at the crop, the last digit of 2403 looks like a 3.\\nBut mathematically, 2556 - 150 - 1 = 2405.\\nSo Row 21 Priority must be 2405.\\nI will transcribe what I see: \\\"2403\\\". But I will note the discrepancy if I were explaining. For extraction, I should stick to what is visible.\\nVisible: \\\"2403\\\".\\nVisible in votes column: \\\"2\\\".\\nMaybe the \\\"2\\\" is actually a share count for priority?\\nLet's look at the column alignment.\\n\\\"2403\\\" is under \\\"de Priorit\u00e9\\\".\\n\\\"556\\\" is under \\\"ordinaire\\\".\\n\\\"2\\\" is under \\\"NOMBRE DE VOIX\\\".\\nSo Row 21: Priority 2403, Ordinary 556, Votes 2.\\nTotal Priority on page: 2403 + 150 + 1 = 2554.\\nTotal Ordinary on page: 556 + 1 + 10 + 10 + 1 + 10 + 38 + 10 + 1 = 617.\\nThe bottom total is \\\"2556 - 924\\\".\\n2556 is close to 2554.\\n924 is far from 617.\\nMaybe the \\\"556\\\" in row 21 is not ordinary shares?\\nIf 556 is ordinary, and we add 1+10+10+1+10+38+10+1 = 617.\\n617 + 556 = 1173. Not 924.\\nMaybe the \\\"556\\\" is not for row 21.\\nMaybe \\\"REPORT\\\" row has 2403 and 556.\\nAnd row 21 has no shares.\\nThen total priority = 2403 (Report) + 150 (Row 23) + 1 (Row 25) = 2554.\\nTotal ordinary = 556 (Report) + 1 (Row 22) + 10 (Row 24) + 10 (Row 25) + 1 (Row 26) + 10 (Row 27) + 38 (Row 28) + 10 (Row 29) + 1 (Row 30) = 617.\\nStill doesn't match 924.\\nMaybe I am misreading the numbers.\\nRow 28: 38.\\nRow 27: 10.\\nRow 26: 1.\\nRow 25: 10.\\nRow 24: 10.\\nRow 22: 1.\\nSum: 38+10+1+10+10+1 = 70.\\n70 + 556 (Report) = 626. Still not 924.\\nMaybe Row 28 is 138? No, looks like 38.\\nMaybe Row 27 is 110? No, looks like 10.\\nMaybe Row 25 is 110? No, looks like 10.\\nMaybe Row 24 is 110? No, looks like 10.\\nMaybe Row 23 is 150.\\nMaybe Row 21 has more shares.\\nThis is getting too speculative. I will just extract what is clearly visible in the rows 21-30.\\n\\nThe prompt asks to extract metadata. I will extract the fields for each row.\\nI will assume the \\\"REPORT\\\" row is a header/total from previous page and not a data row for extraction, unless it has a name. It doesn't have a name.\\nSo I will extract rows 21-30.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis instruction is key.\\nIn the image, Name and Address are on separate lines.\\nSo I will keep the line break.\\nExample:\\nName: M.de la FONTAINE Lionel\\nAddress: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n\\nI will format the output as a list of JSON objects.\\n\\nFields:\\n- Name\\n- Address\\n- Actions_Priority\\n- Actions_Ordinary\\n- Votes\\n- Signature\\n\\nLet's do this row by row.\\n\\nRow 21:\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Actions_Priority: 2403\\n- Actions_Ordinary: 556\\n- Votes: 2\\n- Signature: (Empty)\\n\\nRow 22:\\n- Name: M.LAUMAIN Robert\\n- Address: 24 Avenue Gambetta MONTROUGE\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 1\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\nRow 23:\\n- Name: Suc.LHOEST Paul (Mme)\\n- Address: 1,rue J.B.Colyns IXELLES-BRUXELLES.\\n- Actions_Priority: 150\\n- Actions_Ordinary: (Empty)\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 24:\\n- Name: M.MASSON Daniel\\n- Address: 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\nRow 25:\\n- Name: M. PANI Antonio\\n- Address: SESSA (Tessin) Suisse\\n- Actions_Priority: 1\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\nRow 26:\\n- Name: M. POUQUET Maurice\\n- Address: Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 27:\\n- Name: Mme RAOULT Suzanne\\n- Address: 195 rue de Grenelle PARIS\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 28:\\n- Name: Suc.RICHOMME de POSSON (Mme)\\n- Address: 37bis Promenade des Anglais MICE (A-M)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 38\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 29:\\n- Name: Mme SAVAHEY M.L.\\n- Address: 5,Avenue Weber GENEVE (Suisse)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 30:\\n- Name: M. SCHERESCHWESKY Philippe\\n- Address: 34,Bd Marbeau PARIS (16\u00b0)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nI will combine the \\\"Actions\\\" into a single field or keep them separate? The prompt says \\\"extract the metadata\\\". It doesn't specify the exact keys. I'll use descriptive keys.\\n\\\"Actions\\\" could be a single string or a dict. Given the columns \\\"de Priorit\u00e9\\\" and \\\"ordinaire\\\", I'll use \\\"Actions_Priority\\\" and \\\"Actions_Ordinary\\\".\\n\\nOne final check on the \\\"2\\\" in row 21 votes.\\nIt is clearly visible.\\nOne final check on the \\\"Aut. Paul\\\" signatures.\\nRow 22: \\\"Aut. Paul\\\"\\nRow 24: \\\"Aut. Paul\\\"\\nRow 25: \\\"Aut. Paul\\\"\\nThe handwriting is cursive. \\\"Aut\\\" likely stands for \\\"Authentifi\u00e9 par\\\" or \\\"Autoris\u00e9 par\\\" or \\\"Autoris\u00e9 par\\\". \\\"Paul\\\" is the name.\\n\\nI'm ready to write the response.\\n\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract metadata from the provided image of a document.\\nThe document appears to be a list of shareholders (actionnaires) from a meeting, likely a general assembly.\\nI need to extract specific fields:\\n- **Name**: The name of the shareholder.\\n- **Address**: The address of the shareholder.\\n- **Actions**: The number of shares (actions) held.\\n- **Votes**: The number of votes (voix).\\n- **Signature**: The signature or note in the signature column.\\n\\nThe user specifies:\\n- \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n- \\\"Lose any dashes between name and address but preserve linebreaks.\\\" -> This means if the name and address are on the same line separated by a dash, I need to split them. If they are on separate lines, I keep the line break.\\n- \\\"Be aware: Addresses may contain multiple dashes; preserve them, only remove 'visual splitting characters' between name and address.\\\" -> This is a bit tricky. Looking at the image, the names and addresses are often on the same line or stacked.\\n    - Example 21: \\\"M.de la FONTAINE Lionel\\\" is on one line, \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\" is on the next. Wait, looking closely at row 21, \\\"M.de la FONTAINE Lionel\\\" is on the first line of the cell, and \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\" is on the second line. There isn't a dash separating them visually in a way that suggests a single string.\\n    - Example 22: \\\"M.LAUMAIN Robert\\\" and \\\"24 Avenue Gambetta MONTROUGE\\\".\\n    - Example 23: \\\"Suc.LHOEST Paul (Mme)\\\" and \\\"1,rue J.B.Colyns IXELLES-BRUXELLES.\\\"\\n    - Example 24: \\\"M.MASSON Daniel\\\" and \\\"3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\".\\n    - Example 25: \\\"M. PANI Antonio\\\" and \\\"SESSA (Tessin) Suisse\\\".\\n    - Example 26: \\\"M. POUQUET Maurice\\\" and \\\"Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\\".\\n    - Example 27: \\\"Mme RAOULT Suzanne\\\" and \\\"195 rue de Grenelle PARIS\\\".\\n    - Example 28: \\\"Suc.RICHOMME de POSSON (Mme)\\\" and \\\"37bis Promenade des Anglais MICE (A-M)\\\".\\n    - Example 29: \\\"Mme SAVAHEY M.L.\\\" and \\\"5,Avenue Weber GENEVE (Suisse)\\\".\\n    - Example 30: \\\"M. SCHERESCHWESKY Philippe\\\" and \\\"34,Bd Marbeau PARIS (16\u00b0)\\\".\\n\\nLet's look at the \\\"Actions\\\" column. It has sub-columns \\\"de Priorit\u00e9\\\" (Priority) and \\\"ordinaire\\\" (Ordinary).\\n- Row 21: Priority 2403, Ordinary 556.\\n- Row 22: Ordinary 1.\\n- Row 23: Priority 150.\\n- Row 24: Ordinary 10.\\n- Row 25: Priority 1, Ordinary 10.\\n- Row 26: Ordinary 1.\\n- Row 27: Ordinary 10.\\n- Row 28: Ordinary 38.\\n- Row 29: Ordinary 10.\\n- Row 30: Ordinary 1.\\n\\nLet's look at the \\\"Nombre de voix\\\" (Number of votes) column. It seems empty or merged with the actions column in some places, or just blank. Wait, looking at the header \\\"NOMBRE DE VOIX\\\", the column next to it is empty for most rows. Wait, let me re-examine.\\nThe header is \\\"ACTIONS\\\" split into \\\"de Priorit\u00e9\\\" and \\\"ordinaire\\\". Then \\\"NOMBRE DE VOIX\\\".\\nActually, looking at the numbers:\\n- Row 21: Under \\\"de Priorit\u00e9\\\" is 2403. Under \\\"ordinaire\\\" is 556.\\n- Row 22: Under \\\"ordinaire\\\" is 1.\\n- Row 23: Under \\\"de Priorit\u00e9\\\" is 150.\\n- Row 24: Under \\\"ordinaire\\\" is 10.\\n- Row 25: Under \\\"de Priorit\u00e9\\\" is 1. Under \\\"ordinaire\\\" is 10.\\n- Row 26: Under \\\"ordinaire\\\" is 1.\\n- Row 27: Under \\\"ordinaire\\\" is 10.\\n- Row 28: Under \\\"ordinaire\\\" is 38.\\n- Row 29: Under \\\"ordinaire\\\" is 10.\\n- Row 30: Under \\\"ordinaire\\\" is 1.\\n\\nThe \\\"NOMBRE DE VOIX\\\" column seems to be empty or the numbers are just in the actions columns. Wait, let's look at the header again.\\n\\\"ACTIONS\\\" is a super-header. Under it are \\\"de Priorit\u00e9\\\" and \\\"ordinaire\\\".\\nThen \\\"NOMBRE DE VOIX\\\".\\nThe numbers 2403, 556, 1, 150, 10, 1, 10, 1, 10, 38, 10, 1 are clearly share counts.\\nThe column \\\"NOMBRE DE VOIX\\\" is empty.\\n\\nLet's look at the \\\"SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\\" column.\\n- Row 22: \\\"Aut. Paul\\\" (Authorized by Paul?)\\n- Row 24: \\\"Aut. Paul\\\"\\n- Row 25: \\\"Aut. Paul\\\"\\n\\nLet's refine the extraction for each row.\\n\\n**Row 21:**\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Actions (Priority): 2403\\n- Actions (Ordinary): 556\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 22:**\\n- Name: M.LAUMAIN Robert\\n- Address: 24 Avenue Gambetta MONTROUGE\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 1\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\n**Row 23:**\\n- Name: Suc.LHOEST Paul (Mme)\\n- Address: 1,rue J.B.Colyns IXELLES-BRUXELLES.\\n- Actions (Priority): 150\\n- Actions (Ordinary): (Empty)\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 24:**\\n- Name: M.MASSON Daniel\\n- Address: 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\n**Row 25:**\\n- Name: M. PANI Antonio\\n- Address: SESSA (Tessin) Suisse\\n- Actions (Priority): 1\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\n**Row 26:**\\n- Name: M. POUQUET Maurice\\n- Address: Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 27:**\\n- Name: Mme RAOULT Suzanne\\n- Address: 195 rue de Grenelle PARIS\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 28:**\\n- Name: Suc.RICHOMME de POSSON (Mme)\\n- Address: 37bis Promenade des Anglais MICE (A-M)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 38\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 29:**\\n- Name: Mme SAVAHEY M.L.\\n- Address: 5,Avenue Weber GENEVE (Suisse)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\n**Row 30:**\\n- Name: M. SCHERESCHWESKY Philippe\\n- Address: 34,Bd Marbeau PARIS (16\u00b0)\\n- Actions (Priority): (Empty)\\n- Actions (Ordinary): 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nWait, looking at the very top row \\\"REPORT\\\".\\n- Actions (Priority): 2403\\n- Actions (Ordinary): 556\\nThis looks like a total or a previous entry carried over. The prompt asks to extract metadata. I should probably include the rows 21-30. The \\\"REPORT\\\" row is a header/total line. I will focus on the specific entries.\\n\\nLet's re-read the \\\"Actions\\\" column carefully.\\nRow 21: Under \\\"de Priorit\u00e9\\\" is 2403. Under \\\"ordinaire\\\" is 556.\\nRow 22: Under \\\"ordinaire\\\" is 1.\\nRow 23: Under \\\"de Priorit\u00e9\\\" is 150.\\nRow 24: Under \\\"ordinaire\\\" is 10.\\nRow 25: Under \\\"de Priorit\u00e9\\\" is 1. Under \\\"ordinaire\\\" is 10.\\nRow 26: Under \\\"ordinaire\\\" is 1.\\nRow 27: Under \\\"ordinaire\\\" is 10.\\nRow 28: Under \\\"ordinaire\\\" is 38.\\nRow 29: Under \\\"ordinaire\\\" is 10.\\nRow 30: Under \\\"ordinaire\\\" is 1.\\n\\nThe \\\"NOMBRE DE VOIX\\\" column is indeed empty.\\nThe \\\"SIGNATURE\\\" column has \\\"Aut. Paul\\\" for rows 22, 24, 25.\\n\\nLet's format the output.\\nThe user wants:\\n- Name\\n- Address\\n- Actions (Priority)\\n- Actions (Ordinary)\\n- Votes\\n- Signature\\n\\nI will combine the extracted data into a list of dictionaries or a structured text. The prompt implies a specific format but doesn't explicitly state it, just \\\"extract the metadata according to the given output format.\\\" Wait, there is no \\\"given output format\\\" provided in the prompt text, just the instruction. I will assume a standard JSON or list format is best, or just a clear text representation. Looking at similar tasks, a list of dictionaries is usually good. Or maybe just the fields. Let's look at the prompt again: \\\"Please extract the metadata according to the given output format.\\\" This usually implies a specific JSON structure was expected but not provided, or I should infer a standard one. I will provide a JSON list.\\n\\nWait, looking at the image again, row 21 \\\"M.de la FONTAINE Lionel\\\" has \\\"2\\\" in the \\\"NOMBRE DE VOIX\\\" column? No, that \\\"2\\\" is under \\\"ordinaire\\\" actions column? No, let's look really closely.\\nRow 21:\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Actions Priority: 2403\\n- Actions Ordinary: 556\\n- Votes: There is a faint \\\"2\\\" in the votes column? Or is it under ordinary actions? It looks like it's under the \\\"NOMBRE DE VOIX\\\" column. Let's assume it's 2 votes.\\nActually, looking at row 22, there is a \\\"1\\\" under \\\"ordinaire\\\" actions.\\nRow 21 has \\\"2403\\\" under Priority and \\\"556\\\" under Ordinary. Then to the right, under \\\"NOMBRE DE VOIX\\\", there is a \\\"2\\\".\\nLet's check row 25. \\\"1\\\" under Priority, \\\"10\\\" under Ordinary. To the right, under \\\"NOMBRE DE VOIX\\\", it's empty.\\nLet's check row 24. \\\"10\\\" under Ordinary. To the right, under \\\"NOMBRE DE VOIX\\\", it's empty.\\nWait, let's look at the column alignment.\\nHeader: ACTIONS (split into de Priorit\u00e9 / ordinaire) | NOMBRE DE VOIX | SIGNATURE...\\nRow 21: 2403 (Priority) | 556 (Ordinary) | (Empty) | (Empty)\\nWait, the \\\"2\\\" in row 21 is under \\\"NOMBRE DE VOIX\\\".\\nRow 22: (Empty) | 1 (Ordinary) | (Empty) | Aut. Paul\\nRow 23: 150 (Priority) | (Empty) | (Empty) | (Empty)\\nRow 24: (Empty) | 10 (Ordinary) | (Empty) | Aut. Paul\\nRow 25: 1 (Priority) | 10 (Ordinary) | (Empty) | Aut. Paul\\nRow 26: (Empty) | 1 (Ordinary) | (Empty) | (Empty)\\nRow 27: (Empty) | 10 (Ordinary) | (Empty) | (Empty)\\nRow 28: (Empty) | 38 (Ordinary) | (Empty) | (Empty)\\nRow 29: (Empty) | 10 (Ordinary) | (Empty) | (Empty)\\nRow 30: (Empty) | 1 (Ordinary) | (Empty) | (Empty)\\n\\nActually, looking really closely at Row 21, the \\\"2\\\" is under \\\"NOMBRE DE VOIX\\\".\\nLooking at Row 22, the \\\"1\\\" is under \\\"ordinaire\\\".\\nLooking at Row 23, the \\\"150\\\" is under \\\"de Priorit\u00e9\\\".\\nLooking at Row 24, the \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 25, \\\"1\\\" is under \\\"de Priorit\u00e9\\\", \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 26, \\\"1\\\" is under \\\"ordinaire\\\".\\nLooking at Row 27, \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 28, \\\"38\\\" is under \\\"ordinaire\\\".\\nLooking at Row 29, \\\"10\\\" is under \\\"ordinaire\\\".\\nLooking at Row 30, \\\"1\\\" is under \\\"ordinaire\\\".\\n\\nSo the \\\"NOMBRE DE VOIX\\\" column is mostly empty except for the \\\"2\\\" in row 21.\\n\\nLet's refine the \\\"Name\\\" and \\\"Address\\\" extraction.\\nThe prompt says: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis implies that in the source text, Name and Address might be separated by a dash or just on different lines.\\nIn the image:\\nRow 21:\\nLine 1: M.de la FONTAINE Lionel\\nLine 2: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\nThere is no dash. Just a line break. So Name = \\\"M.de la FONTAINE Lionel\\\", Address = \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\".\\n\\nRow 22:\\nLine 1: M.LAUMAIN Robert\\nLine 2: 24 Avenue Gambetta MONTROUGE\\nName = \\\"M.LAUMAIN Robert\\\", Address = \\\"24 Avenue Gambetta MONTROUGE\\\".\\n\\nRow 23:\\nLine 1: Suc.LHOEST Paul (Mme)\\nLine 2: 1,rue J.B.Colyns IXELLES-BRUXELLES.\\nName = \\\"Suc.LHOEST Paul (Mme)\\\", Address = \\\"1,rue J.B.Colyns IXELLES-BRUXELLES.\\\"\\n\\nRow 24:\\nLine 1: M.MASSON Daniel\\nLine 2: 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\nName = \\\"M.MASSON Daniel\\\", Address = \\\"3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\"\\n\\nRow 25:\\nLine 1: M. PANI Antonio\\nLine 2: SESSA (Tessin) Suisse\\nName = \\\"M. PANI Antonio\\\", Address = \\\"SESSA (Tessin) Suisse\\\"\\n\\nRow 26:\\nLine 1: M. POUQUET Maurice\\nLine 2: Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\nName = \\\"M. POUQUET Maurice\\\", Address = \\\"Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\\"\\n\\nRow 27:\\nLine 1: Mme RAOULT Suzanne\\nLine 2: 195 rue de Grenelle PARIS\\nName = \\\"Mme RAOULT Suzanne\\\", Address = \\\"195 rue de Grenelle PARIS\\\"\\n\\nRow 28:\\nLine 1: Suc.RICHOMME de POSSON (Mme)\\nLine 2: 37bis Promenade des Anglais MICE (A-M)\\nName = \\\"Suc.RICHOMME de POSSON (Mme)\\\", Address = \\\"37bis Promenade des Anglais MICE (A-M)\\\"\\n\\nRow 29:\\nLine 1: Mme SAVAHEY M.L.\\nLine 2: 5,Avenue Weber GENEVE (Suisse)\\nName = \\\"Mme SAVAHEY M.L.\\\", Address = \\\"5,Avenue Weber GENEVE (Suisse)\\\"\\n\\nRow 30:\\nLine 1: M. SCHERESCHWESKY Philippe\\nLine 2: 34,Bd Marbeau PARIS (16\u00b0)\\nName = \\\"M. SCHERESCHWESKY Philippe\\\", Address = \\\"34,Bd Marbeau PARIS (16\u00b0)\\\"\\n\\nThe prompt mentions \\\"Lose any dashes between name and address\\\". This suggests that sometimes they might be on the same line like \\\"Name - Address\\\". In this document, they are on separate lines. So I just take the top line as Name and bottom line as Address.\\n\\nOne detail: Row 21 has \\\"REPORT\\\" above it. I will ignore that.\\nThe \\\"A REPORTER\\\" at the bottom is a footer.\\n\\nI will formulate the response as a list of dictionaries.\\n\\nOne final check on the \\\"Actions\\\" columns.\\nRow 21: Priority 2403, Ordinary 556.\\nRow 22: Ordinary 1.\\nRow 23: Priority 150.\\nRow 24: Ordinary 10.\\nRow 25: Priority 1, Ordinary 10.\\nRow 26: Ordinary 1.\\nRow 27: Ordinary 10.\\nRow 28: Ordinary 38.\\nRow 29: Ordinary 10.\\nRow 30: Ordinary 1.\\n\\nThe \\\"NOMBRE DE VOIX\\\" column is empty for all rows except possibly row 21 where there is a \\\"2\\\". I'll include it if I see it clearly. Looking at crop 1, row 21, under \\\"NOMBRE DE VOIX\\\", there is a \\\"2\\\".\\nWait, let's look at the full image again.\\nRow 21:\\n- Col 1: 21\\n- Col 2: M.de la FONTAINE Lionel / Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Col 3 (Actions Priority): 2403\\n- Col 4 (Actions Ordinary): 556\\n- Col 5 (Votes): 2\\n- Col 6 (Signature): (Empty)\\n\\nRow 22:\\n- Col 1: 22\\n- Col 2: M.LAUMAIN Robert / 24 Avenue Gambetta MONTROUGE\\n- Col 3: (Empty)\\n- Col 4: 1\\n- Col 5: (Empty)\\n- Col 6: Aut. Paul\\n\\nRow 23:\\n- Col 1: 23\\n- Col 2: Suc.LHOEST Paul (Mme) / 1,rue J.B.Colyns IXELLES-BRUXELLES.\\n- Col 3: 150\\n- Col 4: (Empty)\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 24:\\n- Col 1: 24\\n- Col 2: M.MASSON Daniel / 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n- Col 3: (Empty)\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: Aut. Paul\\n\\nRow 25:\\n- Col 1: 25\\n- Col 2: M. PANI Antonio / SESSA (Tessin) Suisse\\n- Col 3: 1\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: Aut. Paul\\n\\nRow 26:\\n- Col 1: 26\\n- Col 2: M. POUQUET Maurice / Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\n- Col 3: (Empty)\\n- Col 4: 1\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 27:\\n- Col 1: 27\\n- Col 2: Mme RAOULT Suzanne / 195 rue de Grenelle PARIS\\n- Col 3: (Empty)\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 28:\\n- Col 1: 28\\n- Col 2: Suc.RICHOMME de POSSON (Mme) / 37bis Promenade des Anglais MICE (A-M)\\n- Col 3: (Empty)\\n- Col 4: 38\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 29:\\n- Col 1: 29\\n- Col 2: Mme SAVAHEY M.L. / 5,Avenue Weber GENEVE (Suisse)\\n- Col 3: (Empty)\\n- Col 4: 10\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nRow 30:\\n- Col 1: 30\\n- Col 2: M. SCHERESCHWESKY Philippe / 34,Bd Marbeau PARIS (16\u00b0)\\n- Col 3: (Empty)\\n- Col 4: 1\\n- Col 5: (Empty)\\n- Col 6: (Empty)\\n\\nThe \\\"A REPORTER\\\" line at the bottom has numbers \\\"2556 - 924\\\" (maybe totals?).\\n2403 + 150 + 1 + 1 + 38 + 10 + 10 + 1 = 2613? No.\\nLet's sum Priority: 2403 + 150 + 1 = 2554.\\nLet's sum Ordinary: 556 + 1 + 10 + 10 + 1 + 10 + 38 + 10 + 1 = 617.\\nTotal: 2554 + 617 = 3171.\\nThe number at the bottom is \\\"2556 - 924\\\". This doesn't match my sum.\\nMaybe the \\\"2\\\" in row 21 votes is actually a share count? No, it's in the votes column.\\nMaybe the \\\"150\\\" in row 23 is ordinary? No, it's under Priority.\\nLet's re-examine row 23. \\\"150\\\" is under \\\"de Priorit\u00e9\\\".\\nLet's re-examine row 21. \\\"2403\\\" under Priority, \\\"556\\\" under Ordinary.\\nLet's re-examine row 25. \\\"1\\\" under Priority, \\\"10\\\" under Ordinary.\\nLet's re-examine row 28. \\\"38\\\" under Ordinary.\\n\\nWait, looking at the bottom number \\\"2556\\\".\\n2403 (Row 21 Priority) + 150 (Row 23 Priority) + 1 (Row 25 Priority) = 2554. Close to 2556. Maybe I missed something.\\nAh, row 21 has a \\\"2\\\" in the votes column. Maybe that's not a vote count but something else? No, column header is \\\"NOMBRE DE VOIX\\\".\\nMaybe there are other rows not fully visible or I misread a number.\\nRow 21: 2403.\\nRow 23: 150.\\nRow 25: 1.\\nSum = 2554.\\nThe bottom number is 2556. Difference is 2.\\nMaybe the \\\"2\\\" in row 21 votes column is actually a share count? No, it's in the votes column.\\nMaybe there's a hidden row or I missed a \\\"2\\\" somewhere.\\nOr maybe the \\\"2\\\" in row 21 is actually part of the address? \\\"Bo\u00eete postale 41...\\\". No.\\nMaybe the \\\"2\\\" in row 21 is actually \\\"2\\\" votes.\\nLet's assume the bottom number is a total of priority shares. 2554 vs 2556. Maybe row 23 is 152? No, looks like 150.\\nMaybe row 25 is 3? No, looks like 1.\\nMaybe row 21 is 2405? No, looks like 2403.\\nMaybe there is a row above 21 that is cut off? The image shows \\\"REPORT\\\" above 21.\\nMaybe the \\\"2\\\" in row 21 votes column is actually a share count for priority? No, it's in the votes column.\\nWait, let's look at the \\\"A REPORTER\\\" line again. \\\"2556 - 924\\\".\\nMaybe 2556 is the total priority shares.\\n2403 + 150 + 1 = 2554.\\nWhere do the other 2 come from?\\nMaybe row 21 has 2405? The last digit is a bit blurry. Could be a 5? 2405 + 150 + 1 = 2556. Yes! That fits perfectly.\\nSo Row 21 Priority is 2405.\\nLet's look at the image again. The number is \\\"2403\\\". The last digit has a loop at the top and a straight line down. It looks like a 3. But mathematically it should be a 5 to make 2556. Or maybe 2403 + 150 + 1 + 2 (votes?) = 2556.\\nIf the \\\"2\\\" in the votes column is actually a share count that was miscategorized? Unlikely.\\nIf the \\\"2\\\" in the votes column is added to the priority total? 2554 + 2 = 2556. This is plausible if the \\\"2\\\" represents 2 priority shares that were somehow counted separately or if the \\\"2\\\" is actually a share count in the priority column but shifted? No, it's clearly in the votes column.\\nHowever, for the purpose of extraction, I should transcribe what I see.\\nI see \\\"2403\\\". I see \\\"2\\\" in the votes column.\\nI will transcribe \\\"2403\\\" for Priority Actions.\\nI will transcribe \\\"2\\\" for Votes.\\n\\nLet's check the Ordinary total: 924.\\n556 (Row 21) + 1 (Row 22) + 10 (Row 24) + 10 (Row 25) + 1 (Row 26) + 10 (Row 27) + 38 (Row 28) + 10 (Row 29) + 1 (Row 30).\\nSum: 556 + 1 + 10 + 10 + 1 + 10 + 38 + 10 + 1 = 617.\\nThis is far from 924.\\nMaybe I missed rows.\\nThe image shows rows 21 to 30.\\nMaybe the \\\"REPORT\\\" row has numbers?\\nUnder \\\"de Priorit\u00e9\\\": 2403. Under \\\"ordinaire\\\": 556.\\nWait, the \\\"REPORT\\\" row has \\\"2403\\\" and \\\"556\\\".\\nThen row 21 has... wait.\\nLet's look at the structure again.\\nThe first row of data is \\\"21 M.de la FONTAINE...\\\".\\nAbove it is \\\"REPORT\\\".\\nUnder \\\"de Priorit\u00e9\\\" for REPORT is \\\"2403\\\".\\nUnder \\\"ordinaire\\\" for REPORT is \\\"556\\\".\\nThen for row 21, under \\\"de Priorit\u00e9\\\" is... blank?\\nUnder \\\"ordinaire\\\" is... blank?\\nWait, let's look at the numbers \\\"2403\\\" and \\\"556\\\". They are aligned with the \\\"REPORT\\\" row.\\nThen for row 21, there are no numbers in the actions columns?\\nNo, looking closely at row 21, there are no numbers in the actions columns.\\nWait, let's look at row 22. Under \\\"ordinaire\\\" is \\\"1\\\".\\nRow 23. Under \\\"de Priorit\u00e9\\\" is \\\"150\\\".\\nRow 24. Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 25. Under \\\"de Priorit\u00e9\\\" is \\\"1\\\". Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 26. Under \\\"ordinaire\\\" is \\\"1\\\".\\nRow 27. Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 28. Under \\\"ordinaire\\\" is \\\"38\\\".\\nRow 29. Under \\\"ordinaire\\\" is \\\"10\\\".\\nRow 30. Under \\\"ordinaire\\\" is \\\"1\\\".\\n\\nSo the \\\"REPORT\\\" row seems to be a total of the previous page (page 2 presumably).\\n\\\"2403\\\" priority shares and \\\"556\\\" ordinary shares.\\nThen the current page (page 3) lists shareholders 21-30.\\nThe \\\"A REPORTER\\\" at the bottom has \\\"2556 - 924\\\".\\n2556 = 2403 (from Report) + 150 (Row 23) + 1 (Row 25) + 2 (from where?).\\n2403 + 150 + 1 = 2554. Still missing 2.\\nMaybe the \\\"2\\\" in row 21 votes column is actually a priority share count?\\nIf Row 21 has 2 priority shares, then 2403 + 2 + 150 + 1 = 2556. Yes!\\nSo the \\\"2\\\" in row 21, under \\\"NOMBRE DE VOIX\\\" column, is actually a share count in the \\\"de Priorit\u00e9\\\" column?\\nNo, the column \\\"NOMBRE DE VOIX\\\" is to the right of \\\"ordinaire\\\".\\nLet's look at the column headers again.\\n\\\"ACTIONS\\\" -> \\\"de Priorit\u00e9\\\" | \\\"ordinaire\\\"\\n\\\"NOMBRE DE VOIX\\\"\\n\\\"SIGNATURE...\\\"\\n\\nIn row 21:\\n- Under \\\"de Priorit\u00e9\\\": Blank? Or is \\\"2403\\\" from the Report row actually belonging to row 21?\\nThe \\\"REPORT\\\" text is centered above row 21.\\nThe numbers \\\"2403\\\" and \\\"556\\\" are on the line of \\\"REPORT\\\".\\nSo \\\"REPORT\\\" is a header for the total from the previous page.\\nThen row 21 starts.\\nWhere are the numbers for row 21?\\nLooking at row 21, there are no numbers in the actions columns.\\nWait, let's look at row 21 again.\\n\\\"M.de la FONTAINE Lionel\\\"\\n\\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\"\\nTo the right, under \\\"NOMBRE DE VOIX\\\", there is a \\\"2\\\".\\nIs it possible that the \\\"2403\\\" and \\\"556\\\" are actually for row 21?\\nThe \\\"REPORT\\\" label is just above the line.\\nIf \\\"2403\\\" and \\\"556\\\" are for row 21, then:\\nPriority: 2403\\nOrdinary: 556\\nVotes: 2\\nThis fits the visual layout. The \\\"REPORT\\\" label is just indicating that this is a report of shares, or maybe it's a label for the section. But usually \\\"Report\\\" means \\\"Carry forward\\\".\\nIf \\\"2403\\\" and \\\"556\\\" are for row 21, then the total at the bottom \\\"2556\\\" makes sense if we add the priority shares from this page.\\n2403 (Row 21) + 150 (Row 23) + 1 (Row 25) = 2554. Still missing 2.\\nUnless the \\\"2\\\" in the votes column is actually a priority share.\\nOr maybe I missed a row.\\nLet's look at the very top. There is a black mark.\\nMaybe there is a row 20?\\nThe numbering starts at 21.\\nSo row 21 is the first on this page.\\nIf \\\"2403\\\" and \\\"556\\\" are for row 21, then the \\\"REPORT\\\" label is confusing. Maybe it means \\\"Reported by...\\\"? No, \\\"Report\\\" usually means \\\"A reporter\\\" (to be continued).\\nBut the numbers are there.\\nLet's assume the numbers \\\"2403\\\" and \\\"556\\\" belong to row 21.\\nThen the \\\"2\\\" in the votes column is just votes.\\nThen the total \\\"2556\\\" at the bottom:\\n2403 (Row 21 Priority) + 150 (Row 23 Priority) + 1 (Row 25 Priority) = 2554.\\nStill missing 2.\\nMaybe Row 23 is 152? No, looks like 150.\\nMaybe Row 25 is 3? No, looks like 1.\\nMaybe there is a hidden row.\\nOr maybe the \\\"2\\\" in row 21 votes column is actually a priority share count that was written in the wrong column?\\nIf Row 21 has 2403 + 2 = 2405 priority shares.\\nThen 2405 + 150 + 1 = 2556. This matches perfectly!\\nSo, Row 21 has 2403 priority shares, and 2 additional priority shares (maybe written in the votes column by mistake or as a separate count?).\\nOr maybe the \\\"2403\\\" is actually \\\"2405\\\" and the last digit is a 5?\\nLooking at the crop, the last digit of 2403 looks like a 3.\\nBut mathematically, 2556 - 150 - 1 = 2405.\\nSo Row 21 Priority must be 2405.\\nI will transcribe what I see: \\\"2403\\\". But I will note the discrepancy if I were explaining. For extraction, I should stick to what is visible.\\nVisible: \\\"2403\\\".\\nVisible in votes column: \\\"2\\\".\\nMaybe the \\\"2\\\" is actually a share count for priority?\\nLet's look at the column alignment.\\n\\\"2403\\\" is under \\\"de Priorit\u00e9\\\".\\n\\\"556\\\" is under \\\"ordinaire\\\".\\n\\\"2\\\" is under \\\"NOMBRE DE VOIX\\\".\\nSo Row 21: Priority 2403, Ordinary 556, Votes 2.\\nTotal Priority on page: 2403 + 150 + 1 = 2554.\\nTotal Ordinary on page: 556 + 1 + 10 + 10 + 1 + 10 + 38 + 10 + 1 = 617.\\nThe bottom total is \\\"2556 - 924\\\".\\n2556 is close to 2554.\\n924 is far from 617.\\nMaybe the \\\"556\\\" in row 21 is not ordinary shares?\\nIf 556 is ordinary, and we add 1+10+10+1+10+38+10+1 = 617.\\n617 + 556 = 1173. Not 924.\\nMaybe the \\\"556\\\" is not for row 21.\\nMaybe \\\"REPORT\\\" row has 2403 and 556.\\nAnd row 21 has no shares.\\nThen total priority = 2403 (Report) + 150 (Row 23) + 1 (Row 25) = 2554.\\nTotal ordinary = 556 (Report) + 1 (Row 22) + 10 (Row 24) + 10 (Row 25) + 1 (Row 26) + 10 (Row 27) + 38 (Row 28) + 10 (Row 29) + 1 (Row 30) = 617.\\nStill doesn't match 924.\\nMaybe I am misreading the numbers.\\nRow 28: 38.\\nRow 27: 10.\\nRow 26: 1.\\nRow 25: 10.\\nRow 24: 10.\\nRow 22: 1.\\nSum: 38+10+1+10+10+1 = 70.\\n70 + 556 (Report) = 626. Still not 924.\\nMaybe Row 28 is 138? No, looks like 38.\\nMaybe Row 27 is 110? No, looks like 10.\\nMaybe Row 25 is 110? No, looks like 10.\\nMaybe Row 24 is 110? No, looks like 10.\\nMaybe Row 23 is 150.\\nMaybe Row 21 has more shares.\\nThis is getting too speculative. I will just extract what is clearly visible in the rows 21-30.\\n\\nThe prompt asks to extract metadata. I will extract the fields for each row.\\nI will assume the \\\"REPORT\\\" row is a header/total from previous page and not a data row for extraction, unless it has a name. It doesn't have a name.\\nSo I will extract rows 21-30.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis instruction is key.\\nIn the image, Name and Address are on separate lines.\\nSo I will keep the line break.\\nExample:\\nName: M.de la FONTAINE Lionel\\nAddress: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n\\nI will format the output as a list of JSON objects.\\n\\nFields:\\n- Name\\n- Address\\n- Actions_Priority\\n- Actions_Ordinary\\n- Votes\\n- Signature\\n\\nLet's do this row by row.\\n\\nRow 21:\\n- Name: M.de la FONTAINE Lionel\\n- Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n- Actions_Priority: 2403\\n- Actions_Ordinary: 556\\n- Votes: 2\\n- Signature: (Empty)\\n\\nRow 22:\\n- Name: M.LAUMAIN Robert\\n- Address: 24 Avenue Gambetta MONTROUGE\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 1\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\nRow 23:\\n- Name: Suc.LHOEST Paul (Mme)\\n- Address: 1,rue J.B.Colyns IXELLES-BRUXELLES.\\n- Actions_Priority: 150\\n- Actions_Ordinary: (Empty)\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 24:\\n- Name: M.MASSON Daniel\\n- Address: 3,Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\nRow 25:\\n- Name: M. PANI Antonio\\n- Address: SESSA (Tessin) Suisse\\n- Actions_Priority: 1\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: Aut. Paul\\n\\nRow 26:\\n- Name: M. POUQUET Maurice\\n- Address: Essendi\u00e8ras,par St M\u00e9dard d'Excisuil (Dordogne)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 27:\\n- Name: Mme RAOULT Suzanne\\n- Address: 195 rue de Grenelle PARIS\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 28:\\n- Name: Suc.RICHOMME de POSSON (Mme)\\n- Address: 37bis Promenade des Anglais MICE (A-M)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 38\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 29:\\n- Name: Mme SAVAHEY M.L.\\n- Address: 5,Avenue Weber GENEVE (Suisse)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 10\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nRow 30:\\n- Name: M. SCHERESCHWESKY Philippe\\n- Address: 34,Bd Marbeau PARIS (16\u00b0)\\n- Actions_Priority: (Empty)\\n- Actions_Ordinary: 1\\n- Votes: (Empty)\\n- Signature: (Empty)\\n\\nI will combine the \\\"Actions\\\" into a single field or keep them separate? The prompt says \\\"extract the metadata\\\". It doesn't specify the exact keys. I'll use descriptive keys.\\n\\\"Actions\\\" could be a single string or a dict. Given the columns \\\"de Priorit\u00e9\\\" and \\\"ordinaire\\\", I'll use \\\"Actions_Priority\\\" and \\\"Actions_Ordinary\\\".\\n\\nOne final check on the \\\"2\\\" in row 21 votes.\\nIt is clearly visible.\\nOne final check on the \\\"Aut. Paul\\\" signatures.\\nRow 22: \\\"Aut. Paul\\\"\\nRow 24: \\\"Aut. Paul\\\"\\nRow 25: \\\"Aut. 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}\\n}\",\"thought\":null,\"thought_signature\":\"ErueAQq3ngEBDDnWx4I8LNF36vJifW7jvmMuw0n_qWPiOwmEuQDxEhihVSzIwtn2222Aug0xngSdlB0zzhLpkf0_CQ7Ov-gxaojUd_oZhyKVnwko16MXmOsKKiu2TLN6otsdI097QVK123w9OLA-ueX9EPFDvCRbCsHf3vYDQtR-irAvT6JkH6Gc8Lf7zsSDxZ9iJwp6GEUtnxjs1DTNUYDCJ0KmU0SrDFJI1U1QihAsgsv6FJRJo2FGIaUcD3IHavdalq0CZa9Xa3y_dA-HCgVCg_mB8FJ1D_op92XgrtkGrMuD3YrqFUDQTq_WP4JRR_h8FktvXBU-L6vzaeu2BZ2_i9AR5i9JXxA3_GGKewxRimBVtEhMf4cINE8ch4d85ZLPm9H_UuV0KeWA-aESUsJmPokSilmMqRSe1YxzLsM_GkBIB7yqKrwUYeNZkAnTHu0GsG54hbiN6oZDP6YmQQ9ySWo5DeS7Cz1PZcU0hppixgnaVP7bEJ00tvVE-RsEWjb40eAy7wqJ2GyeODGqqB5JyQD2QzR3zSBb8Z2jdZoAx5AVw9V-hVGkTlva_wMg7Z0BFenGbW190k_RJQlluD_J8RUkdPJ3ZJN_nEV5AH8luBUgkZVr5xEMcwyvAYEZNQOSEEgERu4lFE44fHakpgTSq5jpNXiW5jj1J_u7kJtVvZrZv4mZ6XervPOoYsjBSrVNyLJKlBU4A-eCCAPBEHyvvDf53R7-oemK27GVhV-b4GffzO3lwxV_5gqKQkBe8TGrixqHEepvKmO9WbOXAi6JeYBpGLWzzrn0CS7IWIhS6C_KXTVe9W8I6e5Dr2ngsaR3BT9dnXh1qluK9A18NH-NW78sZybBb6_R6PHr8kAoSNYZeOFW-vJUbEqLh1ojtxHZGayUAtMwNXxv4nxN-CGjdv7-I5aB_j1fKPijVX5A26kNjvb3ZNenSqRm8Q4_xz4j9fIQqWSql0MQNpql-qt6Ow5JuaGcVxZQaRtoo4Wr6lg-VPMLQ9l8JFqMGidD6rrOYbEKqLKE89LRtiYDFC4QvZnRJ288oPgjTVYZtPjvoZWp704AuUv8QbvrAw0Vu7Q5R8fL3-RMcXKvpr_7t4qj-_WlfkDiwpLo7d_lBUyDNy-DdNKqP0k1MkTZVWm14MNNpIHiLh4jSsEUHfg9HX70Cj1H0grGMnVByYrC1hxl4l823PtjIuKIs-Zalv9C4gTxkYjAWEsNsub8PddgF0inKKm02zgfKyeNZe95cjdelb6eM98rGSKdrY5ag0VancK_UOPCPOkg-Tmp6SmYJWGL1PQWhFki_Q455kLumVMfXpRt-JoQArdrusaIb8IO3rG9ae1vsa_UM9WHseQse8PmvXQXhf3E3YA8aJ1kiWSqqHJ36yF93vunpItt2ffzEiead6JQ9cxDIOiDGOHjNXgnfkamDUiVr_pyxVy_KhEbVfSmh43m8ul0yamN7ezebN2qED2GPfeM3RKLBiR-WY7SNMlfg6TJEvJUoVkgZoOKLeWB0VVLtxOUcLB1vdYWoNxjNgEG56q2xsKF8fNliGKZs0oX9KZvUghAAGDvpXPc64XQb7_n67hRy8mFSHWTPQto0PdZiBwwCPMe6y6SoJ_G7gbN-6mkwbrvV3HCoseFZD1DZHGnwIn7ZTPglQuj6QpmDW5ifimUAV8MIiTCkOUjsKFf6PNENydTLxHkwDpSoNQczZLeLqLwcv_8mz4HYWhizf0X-Bi2EYGo_1jtML1sjWpTl1YwZXuDt5Dl2w-bIEnCEJxRSnZdehzl2WbbbyAjZ9-NnuzirIjCtxNb-qLVlpm14I6AHNHwSRxBeq3bCTDlecQyo2dswZXCLog-Hkgv05G7-qNqH81uP59fBMcsmElvthQJKxeDwrG1wcHNYMh3f65Dq6-8lm3w3g3kBkhkIU8F4WIL4uomqgdt0eMvRZV3KXd7JuXdsXWbmLmEXqGT0EabysNX8DF5t6-EJF1_qqyAMvespAvdY3f5a59PgnWMWi4lO0OwPg0tcCM6z3rLCnedrEa5C9Do_2vJDLQc6sbT7wavziaF5Tjucm0Zk8sPZyCCSSBElKpajbsbEjxLgJHVP7W41xk2iIumCvY5_WmbvskSy2fT4rFBYqWjBShAN9xgTDPDmxmyCemxDirQTsLA_uwWIEcVTN0-3DYH_efNqi6GWRdzU0C0G8ZfnQ8bBx0nK-CGLQ3CGFVBLE8ISGLabiF3y6-hI7kPgvRV8eYR6KKw_hCm7oRNUpyvPvnlVLYIdNwaswVZF_riKPpCj38aHzrklAPQXeYjT0e1MzdDdzctCYX8Q85sZ1LTXzmIRgqAPXWnxB_Oadu9MhTDW0MRBzoPb0f05Jq3qyOAJvUx8-Z8Vvu9pIuh1RNo17JnFOIxLgy5XFLpcC0BKj7ox6kqb3ePcDASGwfO8p_3wjDdesEWqINQuiTZO2aj-4FbE9EMVrYiVhMBc3n2OKtkLlXTLete4uNKoB8ezxlFhZxdsQMg2brp4frBuHnPcE8EMLR3Ydx_3emLF_TXSIulpOKUAdlq31MVJx01gKQfGHawgibxOUMxxSLZqmd2z0XrfAHM1R49Wt5ZgrGDBjv9oM31bIMxVmB_AvWbSI2YFpJDsADltuBOPnA314eL-AplOkOZuANxKMIkMT5yFRabnxLeotr-hB7T2-YVXXQdqf0SqRNf81ioNQiWYkr9ZOymta_jN21YcvOhlr6hV4-y2kbQg5sRJy8bwyB2iFwyF2XGb9Z8EeN8zYV_EHu1HzEgVyxxBTo6pbspfKPHzDdHuehhqWruCP7BsmiByWafQie-wO6aSDy1N-Hjfv7Rs4Ia1OfqZ14cDbp3ozQOyjPjBn1d60PnmQ_f2mNgBTtHVxKNBuYsTHPyhb3caVnvy_iJZnHKG1NunE5f5hRYFQD1GZw-5dH3FNDyvR_oPkHoSWOJCuB9lHEEEwDG9DRhQfm4pA5k1EqV82JpCZApaCmpvJykSgp39Z_Q0qUZInFBlgJfSLAEH_s6XYMcAs7QbblU1JbQV16rSZhNa4X7vXDMEahfda4vZdLieT4Ay-c5DoeLI6Zv70jtBiifXrouTqCH89J0-P8gjFUmDTKR0QrEyLfo66Q74KQrONdjTN9UHsWNuBNfjFITE3QIi5bosVzxBMvo9je7OHPOrEw2ImCFdjwiXRc7P7PoVN4OxIGzGP7GqastfDxh3B638cTQc2Awu1LaJAL2839NoDMiSmwK0A-a7ro1DvU7FWpdo8R7wTFMbdOgE1KDREcshFLEar724BFam3TwU_7cIH36vtIm8eDg8SIkMA5vrlw6rP0zZ8wqbEHTjE5ISXZqwOmOq9JEe0scQYV6OwWwvPow2lnqlWNNNOKDZM4uGulr2Q17MSaLg-x2sZlF-sU7oHuoLUhJeBrzPlecoTtspP6VW3AOHZ1eOYDHjgnVW9Fkv8dOu2ZS5ZtAO4bujpEUGI3ycsd1cYLleztIMfP2dggZkVrZl2xGD_tWCJON_Y9BsDFa64d2t2CJDLPgTrEzgMPyNaHJOK2O7e_lDwAqdFsS_y8R7xNFUD59L1yuUEOjbWX6XFPxwgwExxcRrBoYz8ObZQycI_QejkWMtKAI2e3pS73OVEM-JByOolDUX-Tf2d7FEb5Hj7uOvZkykYhOsfp9rgk6uCIRN-uwAOKoC5CbrfhH83t4SkmWy7Kj76n9oXJMjt7oD09fB1ONEcgWD-QXsftCC6QnIMMexmiIRYxJbAzVHH-TjudRx_irS5yhjkm4eKKV4PRF0dnbFoE7tE-mLDWk0YZvk75fDoOGKPzCR1O3xS28lu54R-LWwYzPAM5FFhve1K5xK1yJnOUF8dJ-CUGSNouI9lOG1Owh_YS9F2QisziwboNV-8PWodL7nGZj46gWJf2d7yEZ1oDNnnxlg_f7y92kjXNVv60S2FRkL9c3pmyLrW8hYUXI2t3ezpwlqEAwcAOJ_jtTUfT3iIXximAet2jxk5uXI1-jHT__B8AG1IXLDVPw_XEenbWUN0b9vLnJkZRQKPVnRBeOxKCiVxU2UhZ1a1hFmyuBmpsNK3ucf9Qa4VDEyOJP9AIXrf8HRiECnM-V_hG6TepwZ7hI6DdVPSCRR1aeWBOTmz8TDWlgSDUOaSW5856jxf0MFa5xJxKoTd4BH_29wyuru5VIq5AV9VsNg1JkEQiu6TOwNoidkdC_2n6uo3N7MwfpLe_mccSVG1jTDerM7z1iAIOZBBihX1Z-IE5LfHC6VRiOkM-XHpiu7SF7QiqsYcb0Y1o4piEMsbik9HHmQfIQFdd3fOOSdkUeC2E-kKIYwAHl4VLBkIqaol6fZQzUqTDB9CYqbBP11JBJ2bHIG02o1CTstHzUdOtwnYSr97pqm22sg2StklfkrKtMmmcfxiWLf-Evdo0ycyrbbSiIif2RMYGs4Xejiz54FRtLEqRLBOVWnctxBrP6fMw_ggDMeYpXR7SlHqrk3nRTm1L1JGVkIF_EQiPemL1G1uKVKAYUQ7v487l1LONWdUIzEjlqhVbTv7LrBSlIvdnQ0b771HDY4UMUi7-YwdIqtPZEEvVmerBdYWWuGYjE4MqGFJzPCw1jt5fKE0z0VM5KTKfUMdhjmTWezp4s_1YidLjnd23e-MCD1LTT-xMkf3N8PoZbSSvE5xcTYOsryAD_CXNc4uRJyJtX825VMGw0goav05jnItb5kWoDknvtY1oYuNcAOLgJsEj48I2N5ceTbEf561MMcAWAptrTIU0stEjCjjpYaa7Z4myzGkHsrsaoZFPcb_u3rL5p2gFljJ-d3JmuvG3jVCpDA180NFP_XykDrLqbATMmJut6TnDeBorDK6D2Iu_zznv36YFNNTP7lcNcEbDiEZ_WOqsFpX3vy2uuRLyj25MjByk7UphieHtJZP9CgaTbPtbS-fTyJe_sKYvvSISvWExK6D2SEhI4WZ3iX7cX51ZFqH3S90VQJ_TdNkab5l70IF1o7STC9J60r_KGZns9fC-0gAYFxnzVVPhjnP2CF23aGhUpNjZ78Zt77VcN0_i0YwH8-VAsbUijFaFnKbNulCOeiqbAvBIis01GPawnBrJyjU2oFqABPOk-zTfdSpZDTByNEcl-R5QgbMrNaCqKi8Ie3sb3ogdEOIXBAhbPMEA7HRc2nZ2Q-GYXTRqaot-8veubvk1dyOMD_HuVHMth3xQVs7103stF0i_giM1Dmbj8EWFoqkSVGnPKSNg5OKBCz3WqheBRSQavRM1jbi4E9Z-uiCeVrxWlVWHurdI6Y7rZaWXZ7bW9jwoWs5_148LSizFZ9AeOyEgDa4I_akUF2s_NmNY9Ru1MSY9lG4PPfEFVxY5Ch2WEAaVuWsVM-PNBPlib6DU0KZrqfbaJzrZCjrFoWdbk4SQ09HPEKq39FhXXlk3UTjgAwddVRVyERhOZ3iOC4UVFx_NHqpj4jRF-3aq-7LxEiu6GFKHYeRxhZNlSNv1rMrNjpoeIdjYyd-bHLk0MMjBhMBCnOgrI_Iz-IHd_QQY9VTG0cHo6WQjMwnFF-ZQPZ1YzZNuQuJnS3Z5m5e6rUBHhOD_ULeos7x2FBxQD5DKGOqeL1AkatfO_3q_KAAcg3fpP_OkNVRd_hs1fz85JxPrA5ltZt5o5XiRZ5ujEx7cNEkF4clB90WnY_L54Uo5qyGJARBibeJU-OxaoVXrwZ6APeE0FcLIHzlj11nqKxzUcO6KczIlVAIVC3yQBvzx5Kf5WSprwvkQVHoG4hMkPY-oHjyS_DVOK75O9cexb8mDxpkT4fvFHXAFjWhYBTfN1-taKQSAEdf-dB49wLaYwtBizcie0-HcBjiJs4syo3Bp04FquI5fez-JA0JcKaE4FG8B9k4ZqyWpxD6TOYpt7cljBGsRZ7WmSN7HmRs9YyS1f-CIHka6TWiOIy0CKouXIFXyZ5rgRPGBKNVnVBb5CzyuAw9Zm5VNMAf7b_rFQ2gbE9YpxaU03LV5qQUAFKAqXzheSaA9bMbRmaYFumRfXqGurZl155iFQc8diP9meSMb687sMZrya8S9qWayHvxRykub9d40sB1BqI7TcmIdT30E-RB6qGfWvmpVqnLmiP_HmbnRNYT_xZ96LHHIoUy_C477nrv5oL9hcpRkUzU1tq48niyqPjlB1qiUZMFyepCofAFDToh82UA_QaIgT8KP2iUcc5oTxVzKW3c_wY98yvxgY4soLeN-NdhRJStF8Ipt1EKtJ-ilYFAWyYSUCCuzsKQtURxrmIo3BuqlrEsZGBq9McZB-A07jIaoD-LOX8bUXorsVxDseqFJPuiGCzSSTQ7C4EbbvmUkm9W2VpN8QyMlT8JqbbSCVH4ai1prQRIjH2X_EibhXmJhmtmuvkFWSad_Vlj43Brjz9FKXQ0pBlJ-SBl9EvMi1aRT9RfGhgIqovV96JMQdu-IupFAi52WT-v1-ZG4EckIJ2JX8g789RZXFusEaoPw13CVufIc827ghQbEHmdmtcjsEJsjoGUR-DIISIENRMFLQPzghgq2WOSRGVs2-NqEW_lfJn7fjXuNhJHhJU_Iep9cQEv26gaFQuwMeSzmfMkggkvPbAsJ86w2TwYAwhnjd0M_xptkjIYLct9mEeN28Bxc7aji4oiADK8Ktvzjq9m2RyRx6I2iOFdU8JmYsXgYelJy_231tguh-5palyUNQHslwD-DTH3EK6ODgxD2YWHvxLr-bgdCZOrRIl-4YUlKiM0pcVqkZUQvvxXrzsLja5bbWGVnyqtRn652cx8uQAhABv-_7d4mpM5cYy7unomc_1OEbLwygAQizcff7fGVm1Ckt-oHlq3WXbX_iWQfeo-wLo_rhuRSWIGqA59iWMQmHCNWR7Eir_NDomd1mV_1EU0M2VPMX56iB1Y8V0uRWxEO0NAERPO1Veo_29FeRJRu080l8URwrm08IQebpFosxt_54t4S9iJLrruFZO1tp_MfZ4yo36HjBtlvh5TBJmc9sOpx5MKPIp9S4mkLpx1x1VRuC13j_ABX-_Rb7DEekIGo2Lkbp67NC3XSa5j6_3C4ZxkWef_TNNf3PIEg0tXWn6TZRbtgxAWTs5g3irabtqm5ovdAJHCjT-kYUgPVoM3MCFmFNB7epZsIXHXevLEnwju_21uLgsp3Ola2oNgkhciNbKZrWV2XrzdT6SeBG0syWv0gYO0tEYrYRoxjJwWo7X8UjCFquh4mlkCrmic8Y-kQlK-1uCoIFcPPz4rJlNNciV9wR9WXZOT_Wb3kmw4Lk83jv4dePnyVNhWVor11Zbn_LwkJ0nuX9qo4Urjoo7a0sgM4JCK2nFYH8hmrM6WvHNyzEaAkA6ntlRqHmfBP6UCIkjncxZuCCbWnp9tMbSxR2tgHQWoP0fKTXG06J7WdNaHQAXpAGvJw9o5GFr2MnyLLKWQzjkSNPz1JC7EPs-p9pq_i0zntMoAe5YAlpASFl2SK_TNkJCOz2LCutPCUXCGyvdD_HDxmF3UvvIplCg9Rfa9pb2j2BdzV6oZITJj58HohdDM2_4IktL6Ccg2W3xDfcs-kVz3ycRUobA3n--X6kCUlN-fx2qECSCdxjah3JuQSXQBDg-FWdshTiwulUHc__dVNNZQNFiNsHgyvx-gC99LwnMR5LdwP11kLygtkLAqlkWj5Cp6_D1sXxFjrvjN9oA6IZH6J8n5PnbDGL3KsiiTC8jj3uiab5sAgOAvDmNHSwWJudafgeXGBUPNh-QAV8vnrculiIxJbo-hAWoss5vo0g3MVmb5LRUXXjI77xLEiRlbCxWw3SW-jm-Na0u86qGp7gZPk0ZuwyesCD7ivgj8_VQBlHxK0NbXz4dml7Wb4TgtJEy3hMWc3YTMSpb8Og_vEKE_8wyxVhpVo3AUV3I0ppTZ_3EE1dc3BlOogaMD-0oWxDpwi6O2FG8HsyDxDtyjpKsaQZDY1NsNa9pWWu6MLxb3LSM893Hx4D_Ca3EsqjcTd5XmiqIx2PvZqryvgrgcx8Ym3KSRdJwryBtAehF8G_7mMindZ97vQ8kQgQeNaNZi5rFhDI1COWQJp7r7dF7EFuJf87pOcEpgeKFI9SoqMVob7f6nCyu8YG41P-f2VhvyO3BDz4wjCJiYR0-yl7XrVQwBSkyc6FUahlhw1NfaUHEoh-oQovZ2sd3SPGjZNj3vMYvA5Z7I4iW9oQszQHappGvkhUB5JN3FRctWVRP79U2LiANWSlWSRMRjSvNup2oObNbXLfvzUHeFnEf7nytUda5WW3alMgxbXKDPQ2N-bFUeldGoP9exU4D64JKF12QI6ihz4M0TkR6wDjI9Ql9E9v6pcD01rTEBf4WVTDOmMVeUIrnzsW9cYkKDUp372pnDFk9hbjS3jeQIt_2fuBnPWY57UDGVm_azqJOIVLG-kQmbKK4g69gf0j4K8UyYCD4noNUVxH5bWkpLyZ_ZK71vERSYXYthbTml-W_feIr0MGSO-J9SjylDIGmtZz7aFD_83QShM6JCKgNpIW9RlBLJVtsleFeYFlC6O2-NPxqTe_oUHuk5M5peGepxEuii2M9be09l0shzUD91hERk689PnJOJpOWXRfZwJIp46FCzQ6vWTktFmU75zdAkHOfl9L_rSwc0NVql7yhfxm-JuAjuQjc6VNJ0DqRSjnSDVd4J2SCnsT8kGz5aAsKihYRoUkm2Dgpj24BtnwKHSk_xtbPWFRbIMQu9Le45zdoKCiawXlqQyQWDviDi50k0yR7zKFyXkcvDMriLo1Bma6D54NxYMFgIbAkkp3ZrGweksTWnfqKh2Obvr6TsWxXaZPn15ydIguc1p3WrVzwQeitRyc9r8xG5HWj_apTBZ5mwIky5SN9c1IvY8AjH9aF4u6AOu6ZMIpqE8W_k0V7NEuIVwTWXhVlcSjzNYLcjBhvFJBv3qAvnQhbsGhOAh3uYs-87rXypkToprJlcY-H-Ci-efc2z-zjDsxxfv9t54KF2ILr4bNIHwuTk91XHrOfrVntmyJ46va6hqse_0npxrjIyrzXAU0AIKyg76Gce82aYVSjrfgrtBuGn4EZOYFQGPbvj4gYTkfF5p090VkfLyQW9RAquOcNGl-OOoUOFO3nY-Kh9xjwv74BzNuU2TsFBMiu1K2zynlTna5xh0IKND43glXvgRfZSiHoh1fvp2QWy-pIloLs8YIz5Hdqwqq9tz3ZUYgHcQGMFJwFPKEVLzwiYwalxvFAKtrqqoAwdp8I5QJSH6F77n9T6vzlkuZR-Qo-FKztwJYQDO7lQADrjcZKUdKWoB5QzbNMbx7ZVJZl7c0huQdDaDWq-J5oRxhDzlwye7_CMO5kHm6b1f-QRwy462YlTZctFiJ3j1dNdpBCGSVW3NtzbVMFfiuokoDRQCZuIXoKKQIdsp0LTzbsxGa_2dXSjYNDAw1HoG_dx5w7UoLEAisrzeN8NaFHjfxXBKQ2DcuR1T70g-OetPHyzViRvQfeblzJw6i9ZWfO9mXjDBhDMMqBvsZt2gKJBWRtVrre8nzIMT0A6PcOlNjmPL61y5fSAJhw1lTO5kopjlxpwM7KTXabDALWiWgRYjlu5OMPs32_aPg-IVUbyJYjRjyIMdxsbAxrotA6GSr3_iV-nDjxzRyosg_eacrNhgbUzvtEmEAzWzAXgVqwEyFB7iA_Wn7Ce-ou6sWN8JeGP5PjwtL9ntWMf9-JVY0QUlEeny-nDXQg5An8riX0rLwUso4ObLFwMMgzdmW2972dhatmHsAOFoaHjvuw_madcRH2PFX5AX6wTiLk0Z1pREDkMMaPY9lS3MhFDUro6Be-1WpNSm0uOS5rZWDLdw4H5f8hpzIJrD_DxxRzF1qEED5NaOC7S2vqEOi76nQX6n4izkGv5a7YBNRbkCphKwN6bnbMYOXrCtr7uPm6gnHHmwT6WSEfrL2A_l6-VpMjJwqflYxs4kJ7cTqKXR4Gc1JjI64CWQA-YDLRmVk_pgxYSgAuYKyX_7jC2VrzvUu5T_0djOuqqwabbSeDvMGXiq_IKWs7mhhyleT_EdtJh_GMuEQCWdvLBbVy4hPmhR7mUmqeOM_R-dSxUHLP-mOXwXPXd0wA1nEkHkUW6OcnjPvrdVVcSK0ThFpcjIQdumdo3R-0mr0iro_XZcy7Vws5vUy5yulgcMzZO43vQhf5Jx_lC6oqvSywywNUzpj94HKsKwWL0TPs5c41dj3E2hBjNDbvh59J5CWXR_aB3ejroQ1b7NuLeRQkIUcBBLBVtQxIXUm17qEL1_WEksu9KsSdQ4Yy1bOrkShuFbKXwY8mpd_ZZfOUAJuchAe7QSaXsalzEhx3b-cbwFxeiG_4hGRFIZcUzzvM_Ff_QSCEOtJ3IFBASRrGqpTaB8l8u-i295strQmO_vrGTTjO3bE-feQQQ_ct67VzjuaJiboUzW-cPPfDTm2QDWNFI2AQEDLX1Ba1yp5m3E-qo9rBifq5WxeSqOHH2kUYUj4MTYE0-eK5wzQntv-Mq4xu5402kH-WuYA9AkfdFoMoKofpcyP0oxFoFJlAvsQCYMnvaSosk9E8lZDbRdccFnMm3LZttdzD8b3dKbe9kXJeWnanl9HE5MU7g8Joei64_oUd8GR18LkrJ2I64T26JyeBNi-egOFX8VnqVwa7cnvj-Ieb-RZHgL346RSfmnlHSoXHN2nsZtStsaXh7PRlvR4G35qD4sn6DPIsLT0m_LYoWnVr1LAv_aHZh-xs02Cjw1UMCH3DUyRZJzJz8md2tIMwTiaz0SjG2zlug1kfl6T4nmgUsnL5HrAXNsnHb0Q5R8b0iMsF73aIiYjtdaJ2Kv_V_zO8CiGH-r67dHXWJk2LYbTERQWB2eYPPsIxiy6fmw9rloddxuAR5jiwzpiWylo4gEeX8bAfMYU_lmRvkokluih1Uilp2VBmRjAHhnPk9nUMRD-oQTIhsK1nyfaSP1_Gmf7q840XNrf8hIXu-SLz1cRRMgadHIzieCCkDD72_O0TJ1bUKfBChpGpErfbW-AxGD21JNJeR_G6JiL4Dqx96D2eVAJlJJYgMK_8zljP5wKUtNyZ16TC7moDBDoZvu1KcrGCA8tBVFQXCt7bzO6AMamriYhAxskKZy_5uGSxqCoKjZBLrIjTQPIv20upGUzMcY1aPRKtSuY5_x0ed9f5_8CO76WvNL0Y-g1UU8hLYOAFhC51z_ke4bZ2Hv3-ub8AX9hh_Ojd6v9WxrIEZHfRqGlvDpfKYiU8WN5O9PadumZ47hOc5h3cWtoRpR2omeR_AcacIacESm08JyeIaeYSAPF9o9nEDYBTc8vt2bHvpnvdQpEQAZsgDJoa6r_CYXgt747uwct3hlhYTSEbonH3xs6RV17ivn10USygUUhcTchPmN_ngLQcY1DBmegSKPlAWwCmCzhhfdDE4-mH97s8eDLIle_jQFH69ZCCA3wkYU2sSVoA7Poh9n2L3qoIkLbxcJspxRdebq9f2_0wusfSQuigfkMJ9qtC5cRyp6wh3czuNIODEFnsZ2zX52QI6VAoojibjOrZu5OPAI44psjmj7vsRjZLFgo4J9MH3XP8MmW5y4HN-wuS1kltYsL30UBpRqN0dJpQ9K8dKGKHJF2MhQzovfCUnF1RwsPm7GbxbUfiDnKEV07FB7bWDKCh7bbIbIaZ5yEGsGf_EyitEWCPfIRMAEAdC8ISQPTO9k3iC9n69c-_BD5wV3OGRRcLblZ_aRpSmy8w5qQLfO6MMFJVsISOgHuiOMg6kbziOe5Axez_6Yt8SVychulToXibtuQqCklMGpI0FqvGR9pj-6qEcBk5rFVIbkJY1wbFJJ94WXyUWr8B0g0S8vLYiqQsJXaJDCgS47vepd32_jiPrQEpY4CgkvaNUPf3xSCcaZ8cKnE_XuoRRJmF_ghJ7XQ30jq-vP21u2C_cuEFsNmObdLP6HNITjeS0bfeIUc8ksdbI87lBdQwGRo9cnlIhH3rOyljODCCailp8vJM0tBamHcnx1DABHzdDFZTc0lYAJht7kFBW1zSz5PMmyrosEoiIqJgcxCY5OG1h2nncOpSbFx-lqk0PzJijP9UnFkKZYF25_AnAGxB83Rl8jg7uvQcBTFbjwL93ufCqgmgA2C9cZGeSWpgZEnCKpT5PJjwmhPzVUb6ITKglPsZDO-mQigbSU8LcuY5KOJAxIlC59_aWV90gwZC8lvlhuoakPMllJZpOQHx2khfgQLLwHKN5pfk_JEVrw8ZTAAuFgc02HAodJ-rquIg4c9rR5ytuI8nnLjOsUeviAMFJ0wD0S2OhtzGjOBNZY6CzV_sArVf7ij5RCzd2HmQOorbYHXmmW4iTiuw1GP8ThXp1VsLLUVPPr2ZDgGClw4wClxmWu7PWY64vKyhcxQ2tWLbvcZ65d5y0XDuaFP-LLToSEEQhKOEr9wu-AsZAdI5QIL-su54_N0v50SW5cRz81d2a-yMwKyu25Z_JW2U8ov97cmtqXbrJiqbAb7luPBVKQEnYfiFMsW7PWqxHVVJPrBkEtJd5ZPZPKHEjBV1f5uGQ4HVdPFFxgQ1jxUcAtxn9KaQweRhn6pOf3NDziP1wZOiZRNNhhaW_2DgDcwDihN9pUslWv6wVzaakY4dIzWC3QyDsu95qd6fG-NXMXJFaBykhj-Jrf7eEf_6IGCZczy4KYmXDjEGn1F6CBmdDK7ScXFbGKfC-zliogh_TKz4qXdstBWQiQsonpWLgGzOmbVA8eWKH3ZVl3sZZnWEELaocBH8QScxpsqqpCGMLQEm3Ormw8-rEixMeNX5FBW1QW5wQoKQbPB1y6KNrExRIaigK1va2gd87NFUqeXs4zPw5ylA54Uw1ioQwXDEpjO3kVrlBktmeXQWI-GjgbAVJBVIUSXrssbhpftlpCseV7zSdwkgJ22x9ggN6058Y3fE2aCcVbwvs5rZDKZlivRPmDB4T0J5mSjparx194k3MBJ2woSbItS1qHfpGBpA-Ll1O79NpScoUHkalm_NXnbY9Spax8hixAwxkJQVTf1z-U4C5EbzY0R3szasgkCsk7N70XZcftfd_Gm9NLXbfJ1oQuy4jstu_OlL2krnuMvL0UnxRtWD-9Tls-NyI9c6ujqdB7of6_FFWVTvWBOsJFqeKQ2m1GXkNHOUcw2Kc90QV0wp9tTzTKlXUtRy_nBGrOcrowAa-k7UAZzRef04g5BkJi9LnjNd7j07DWVY_Ty2W-_SabSpTZhDWQvjx2r7dJ4kXPvO6Z6ZtRek2hJGot2EIVRg4TPpFsk7WROxUd_vmLOREOPFQE4tk547mlvuSHuLVB_4eFCbcczCk66vOPC2THS1Fr9PeUtR3zf0RG1I2MbDEQ25M4uskKTmvMQKqXsESkw8gR1NKvzbdWAsXnuUXMucDuUsMWnvK7ICBKFPBYsA6BZZ7AdTkSHrAITs81K008O4R9kzwYZsBYCGPciSfX8sGtYbbTiki0Xlbeo5KsV-VEtTrKR3Dw8iHFoCawELMn1lKHGSag_61eqNEdmXee7u17UdmOyyoyLiaIn8MfRjwWrU6tm3GElN72DRGilHXwuxv_UCgQUnET4nD36t5tOvf39fBn4UPhRZhdFTZ4SqVJQkSLROSUbJpf8GktmKks0d5gA-Vswf_AfQ_-5d82vaK8-274Qf96TGDV01AMRwFWPDMS4vierHNqpQKRHo8qJdg169I8w03N0tfUEZQ9K7HyMBqjU7rrFc_WkM6RYoH9DIecx_zoHOCMhyy2TyWzQemLMBZucKxXxzfojG9ubhIeLemdtSHsp6DxkDQAIyIQjse1oUDxpcYPohehTt5Azx0d_qbyDhjMgdWiqStJMCOZV3iV2mSX5JI5z-TiTzGR13b__Q-Avc68rdr8LdibocqNwPBdxvHhAG1bUqhyT-5shWRw6UD-iVmxzlbpc8tNow69WY1KOxN6hDbgTjJGW5QeJ7ZICt2vY2OoNyfdOv_xvwo_sGXtRve_ej33_g7wZ6aHMOEXkRFJez06lzJbksCFWORwEoW9vmamem58GfBFo4o9DsxM_xHoCZ_mJyHHKqmP4uD-0E_WEaDx4BAoV1_KCJXGt03oYT7GYYXHQQJo9fvBgVIKFZKG03oYVaFEVaaXOdcT3iyGrTK8hRtrBURgpqs1tu1aiR-wXBPRPK1bxw1rKCg6GSVERFQJ5882GCj6auqU_M4GcHWla_S7r4lGl5bzV9GTUvNynHmJFsGm4WAo7iNIWyvctMQzTqAtL5uaFsRRJy8KC1tp86-u1k5C3jBQ8xy1nWUmzhmYXSy_smF5DMoTYObTTvcYRtQyDj4FVjnzgQzJMcLWwaY6HPUp1dVfSyEKtBvvHfWHN7zvkBqrPVx2DHjApg35TkVhX5_gY2S6OSclXE2E1g-aTzgMKSHCfwS88mEp3jvvhVmY81OO5EOVTRKSQfvuwOMXBpco2BKFwtauCM42L3YWRTIa9TRG5-8kTxWZI_gT2mxNlPlR5NZBRHjBm8-iTs8ES3rEtajnFnpv279jCNS8clu6M8w8ge378IH9Celwy0JyRFi5vmSLaIPG9RU8QtPlkYX3AcVJjzXBwXBoEvhXvtdTCGIHJj8s6iars1hoPWoENNOiG_5YbcNTerx2CUgV8Ey289lmVBaPv-X6YKHUvl3BHVY3qjZ3JSZ89eIWo5HFD5B_XB6KwZJQa26ZfOTCSRcwgEnGRPlJN-VojpecYxTRYrJxzT_4BQjPfR3hZFbrGLAAozPUWkZ28ikaFyURGSTS1O4R8I6a_tntlJ_HhnzowavOz3B19_zCOY2xRySylrs8qTJNqvvsp0OsxxYFVhiGSxo6H1Kl1ugN_GwMvZttb6HNqS-iMqu-CATJN2v7ZqETp3dTGC40m0K0yY_jMAvQVab0UHiAb0yOXceTtTNJm-cbpMn9CLMuWoeD9UBD0qd9tB70cPS1MITzM7lwvMtLQBl4rB2pwDGugz9_2jRBPELDpD-6nlTkTMZpOsLVQb7zOeB0PXNUV-2hvWtvzd5MKkZTb0jOrA9J24vPFG5PMaajjME6RwxfdSLy08yxkPf6a5v8M4VzTJHwoxwwE_pSNsc5C-WBw6S3hOHDmS76ch5QeoryW_ulghNvElPf0qIldfPVEyLaqrIlNtelVhAsO8HCntJXvujEx1wKie3vVs29V7WoHVq2rmJAmyCmm9szWRR_W80EwV9IP_pwAeDhheyT1XE7ZrKUnBpmPrPUgAD_CfeCOhJuLXQNq5XNZAX0Z7BBrUfbhB_Fe_UR7JEN3VNInt4nKG9kBBOZIfD3JZW-n4kFeOqnyNFuaylVn8uvXF2B2coqQ3HydMwQZkDUh_jE6wVt4X0GsOIJEjHxKapg4s0I0P32eC3KROBbzFliy7X2wBYwK7nBV5__hXWTDdIcSdSc5nt7LL5RfvLd1w6iquwW5N0xNN4g_GKfuXN4FxTZphN61pp6z1BcgPRlaEqwNip_63gtyTrSoe2oFHm9LWEQlL8UPoVqyD63X8Yfy6TTuC04G3wva1sd6tSlaALyMcWm9euPZWw77pUppnqfdXa5ovtpeaI8r0Mzp0UKyQq0MsrKdIAyaGBWtqptsaPxiJXphwp70ESeZ90nGA8r6TjIIDOcydpW-zai9mMCx_fkJt3Sz6St5--xur5B6To2TidcABoQY2rTEvEeeBJGjQ9boUlHSdBgtMhLzPqgHOGPIg3wg5rJiQxHfRHHU_NMXjJy__CKQHzXEUtl9viSSqNqTj7WF_sxY3ggUkz0coyoHvufXdRqmUFyVmzrmmcAYeeBLiNnIy5p-fuMFies9F7UkEO2ZGnPNba2-GWvo4yVx8pANfZRsKHPqay4rgmTM7famedsiqvmRdL5qWpY_29S_4p5urWEqVVDy6wmyUrCc0H2Amwk_RFRJQY1AaLBbuYJpNS1ZsFpgI9XCArM33EX_IAJOseGZRkBhD1s_Dh8pBRcvUDQdzcLz439mVY2HB_EuRPx6MsitqYN6H46BHj4sja6h33eC1t-ZULrI2FO_omLR-La79lB6hTTDCOO1b2cTRMlwWo0vsdS7icbHDegs8l8mZ8a2EY_pYgsCLQg6O4QTh6d4MWcXiz89ainQZctObAQEHH0dW8HhW457U9rf8yxFYUD_PZFh8b1IzT7NqLFELaeHLBSoCnKSQAVxZTp_Kut-QtEa4UpHn3wNa5dumj-vzoChd_t8YGMSts3xlMnO2yCBbIhirC7LMYP2RelAV2PLWsz3CA4HlkXY8H7bNibHRhRB-xW2lsOA7IrdakCFntBzcEUdjHNWTBIX8WkLWgCjuyKW5yCCBHbCox3IV6A0eco86QGZJnNPmweh1ohrGsIU63TF0lsjwmPmxglJP2OPMxAgsJKvZBymrNBbXmIPMpnwew4W3321meKBTXKXz8mknD3S3tou7yfU5tfcSuVf62MxjNd1EVaPk1KW7tKPYs8OPgUDA-yERwT3xN78dTJjV62ru18ZuFxhv0bUSCT15O8cvW0GICIYuoyQfO5Ag2L9_fVOOJTAFL-LS38tMyjr16yvXh01OZBGHWcTsZBnE4b4C-e-HrpO6to6osKoBtNKKg9dW88cUtUzjtmHj6T3i1cypo2X_DSfhmK7VjO93scw6-O_Ky0J9B-cXWUWFWvCEuMeZyP6EyVYuuyt1KHRYFwSpV2xBqVaVyvErEIRdOJPZrHHU6UwaFRF0f8vpnjNzNi4u9nZc5BUjt9uaefIDGpmiIxogfWJXfWnUUysvcITqKN4_1T_ICscwf1XYdSeJEOevEuuVSuiZiJAovXhaD1NGgSM99ZOcUAOiq8JlBXzbvdT4chhsa0fCELASuTJZ2A6m02N0CEAc-VV6FWZrXzsqnWsASul1MUmJ_hitruG5aBmd0Kxzfy0XJIGzOM-_UazesSZm-FeNfhytdQCQuH2wPaTEkyBODGs4nQAsBpduYkidEzFD6JnT1BPT5kHgmP9ePD0UuNY3UhTDzmsZxQN0tFwhEav5MKOetbIlg5GT4YtVXzHtX5d2O3fm38ukOnRWIX7ulb2VejjO5LoWw-ikk5k3wp4-BQik7FpfFDhWrbJZTKP9oUlx32qUD8gdjVVb1w7fylWmB4lG62GaYe6_EPc30OsRa3EXJ8qQ6QPOfOzW6sVH21QPuYeHRLqgpZYY3sVLBG7mqBedwGgyR5vC1kqBPd6BwBqQYZWsGIZ9cqIes69uBHnhk360t-e59RQ5DY9ux_V8zJ9HaAHHkyX05YvSPHtCqFh7loXxvIcvcqkVGTfFOiOaRsqPowOWXPbpATrmxpjnbgt8sZzheqIAUkx2S_EnjTlQuAP9Wnn50RouvyweFsqpk-QoNrdXJ_PcaLPp8R5Zxx0eareoATk6wsAj02T7fMb_-Z7PYQTk3hNJMRUysywrs3tFxH-7Rodw7pm-oi62ON7RQ6cZ3TYVItWz5HwpZICqJ9uCiid8JewYB9S0LjBukxn3MW6f_G646O3XjQTK9fVql5pUK5bIAwXnJZ4UZd3h1kzNQgFMXY3UxKW5l60JaV_3rdoRNS_iR1VcEfaonLpI8FVc0bnFZWKTWwwiX3BoEyXRpkkNH3jZcayPi7i1nsRdO-mHEm7gs5dCBKDl7NwKx0ueGUzAWeJwUsO_3k2wNXGEHjn_Qi8sVDNjhmq2DNkKCOvRXTPEOWut7hTO4kV6j-HExdZBMf0kSc16gcD54qYsM9tBmdGUcvs50c-GJOlqN_pjAEh4hNbKVZ54Jz6B13DrxOSO35OjA_JZbH3n-6buwvaG09coqPsUWf56sEElRoFy8_UuaUAmwEULeVCho4kaylu-kcAGr6AO6NybWTlhH4IG6NQgJO53w9-fy0eTt1CEXtPt6B4KIJlczbznmk51LfIgY2CPr6Y1o5O5KvQkZGfAMI0yHqaVGQYUTTnb0mwlhoezjcuwuNfmA1PS2F2pmZgfy-_-gOVsD2bPaOyfhu88eWNDcw7G0Fx5W3zdzRD1eDZVBnqw4hia3xhEidJEW6LnvEduQHpV4o2FyKdRjzOJBKuebwBw-oLxX28gxa6Er5dHy7LDeqJsxOl5ux3KGl-jc20cFpKD2g5DlMmCez-Civ_e2XriRMUkzTAHI_NLePK-fERuCaCdx_2dfqZioSEF5IcSuf1IMRa-mPPId9bbyu5LmvPMGX9QVf34k4FcfYaZkmeclT-EqBXFYg0AxKxe6xxp6Dqpy5utjhh6esg8ES5J_8nE9JMIQWodXxzkXwcK6GM6kWvT2Yhgo82olF-cnZp1w4hR1vCEJ85duSo8yWTfLCGaax3ShvUbGLtlqIItFkgiU9sJlnnW-v6i3NtXhDbLAXHX-iIYJdvBnfHV0_2bU8H_49g_G7DnUyXPsqTO3uFeXC336iKeu7t9hT690T99FNFoZbGyspsypzh9xkNiaZxcyJ92BTmk19_l2rL0wrPOR5biHA7X_LHKct0r2R1fprLNhe8kzA3wo68JIJlVST4Atk7cUV-S5PVN2woCKyHxm_oapxTSvyajxpYnJUkWyVn07PuCRsIVwrtqvIV4owBu74DK0tAsmqxASN-ua1S0RufYA2Ae-Fb3eJBcEkxOo8veAbcIp_oE65df4LJCquusTsiSwIYZLW9wBUdKOz2eM_0ke9mA7zMSOzQg4qw36awJfw6AEx_kiKaBMqU5t1XAIhH0SJ5aoCApQZWe_HdeP7jd3N041sVWLlt_TtHMYuixmWtPLbFfm1Dw0TzfY-85gScMsu-zGmrPhQv8qMqFHlsc1zw-XvjnIOgGCkiN8m5xBa2NuUfDDWoj8-4yARJ7_3vkrrRG6C9CQVrV3Ohxf7hIlAqYmT0z3AEykw_N_MZpbyUxVTQL0NHlNKv9pPiv_sY70fLHAlxjEXIt2Tj8vgtwZocMSfBzFXUgy_kPmQekUWU9SoTHQt5n-2g6vWECXUHYcKEOd6EX6-A370J76UxoJ7pDAVNrhW-YVSh9Uokmj6pcVOiIenrv7Cyec8zdmS-LwIDuXKkbSDfKw53FbUwVL0QQg1ZHmmNmiE_dNas6q0QNYXP8GhDRVF9gwGLz6MuEqPrvWH3RMVnmHMSgTvAx4BYopZ4SRZom0UmXKq8_OQnrFb8WCZ7IQicyP18DcK4ZYg0-yq96TdGKzRAcCtrMH-yaNstC_v_F4NINNchVhICt2vCFKjJi0XKjg12WpV_h453BsAEwKsr3M0b10qACMNqraskBZbvHGYuxRK6LNMOo-IGHhIPx48cyBCVLPQe9ySTH8WAUluq-6QQzTZui1PlHdv7OkV6fmlfy5DcCle4AmOp5D7Hk0drOKcqD3FSIzInBK9XGjbRFzf5qpN4cHke0NzRf6_BXFfQ5Umza40whZDk_OunZc4dee9bVHWwkV6MHmoKCYTBDBi4hWxvXm4AWk8XGFv5SLGTAX6G9SAZQpZippCvGvvfuhemYS4GHLwgNsbjh0IX3MdqtYh2ArTH-qgrxDvWe7_RwK4wHlZM26zI-kDBV1W-u0Kr3M849rEFdHgUtsJxwuasSXqXWUxvSMMnR8KFLP55lev6FMTWMeyxRZUpz6nC5HxKtU5KMvlE86YngklFYaNnE3jtfFfjFCVTDkVKC_PR7_DkqYbcFEtawpQ7Or07QlK2AZYgkwZ1wGf3BbQjkBGD2wMSG4sAF4SWipP8PDr9dcono-Z6I-btGX4zCH3Wy8dtNiUBrZ6MksnK4FG73l11gI0WpE3DQ3BjyyhU-ArQ-S5dZBkKdIwO6IOEQ0Tf2wxsuLhKM9gdpIzmYBTj4dOoDOO5g7XbQggr9hwcIRupImxt_MqIMPiUv4F2g66iovDFCtD9PfDGv-eaNOKveHE3WXJo_84QjM1feoKhuWCGBVUl8s2jXTXUW7ULvkyJn-NtANZ_-w_Piba9xILCddl7BGl494Wur-Rz3942B4G5m-bhEvTgKwLm9gtYUDYfokW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Pavi"}, {"number": "23", "name": "Suc.IHOEST Paul (Mme)", "address": "1, rue J.B.Colyns IXELLES-\nBRUXELLES.", "actions_o": "", "actions_p": "150", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "24", "name": "M.MASSON Daniel", "address": "3, Av.Gaug\u00e9 VIROFLAY (S-et-O)", "actions_o": "10", "actions_p": "", "no_de_voix": "", "signature_present": true, "signature": "Ant. Pavi"}, {"number": "25", "name": "M. PANI Antonio", "address": "SESSA (Tessin) Suisse", "actions_o": "10", "actions_p": "1", "no_de_voix": "", "signature_present": true, "signature": "Ant. Pavi"}, {"number": "26", "name": "M. POUQUET Maurice", "address": "Essendi\u00e8ras, par St M\u00e9dard\nd'Excisuil (Dordogne)", "actions_o": "1", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "27", "name": "Mme RAOULT Suzanne", "address": "195 rue de Grenelle PARIS", "actions_o": "10", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "28", "name": "Suc.RICHOMME de POSSON (Mme)", "address": "37bis Promenade des Anglais\nNICE (A-M)", "actions_o": "32", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "29", "name": "Mme SAVAEY M.L.", "address": "5, Avenue Weber GENEVE (Suisse)", "actions_o": "10", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "30", "name": "M. SCHERESCHWESKY Philippe", "address": "34, Bd Marbeau PARIS (16\u00b0)", "actions_o": "1", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}], "total_actions": {"total_o": "933", "total_p": "2,554", "total_voix": ""}}, "conversation_id": "21516911-aaf0-4161-a312-b5c9d546833a", "score": {"fuzzy": 0.9584734998015382}, "raw_response": "{\"id\":\"gen-1783072121-fCY51Z1RGA7awz7eKVPZ\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"document\\\": \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\",\\n    \\\"page_number\\\": 3,\\n    \\\"entries\\\": [\\n        {\\n           \\\"number\\\": \\\"21\\\",\\n           \\\"name\\\": \\\"M.de la FONTAINE Lionel\\\",\\n           \\\"address\\\": \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\",\\n           \\\"actions_o\\\": \\\"2\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"22\\\",\\n           \\\"name\\\": \\\"M.LAUMAIN Robert\\\",\\n           \\\"address\\\": \\\"24 Avenue Gambetta MONTROUGE\\\",\\n           \\\"actions_o\\\": \\\"1\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": true,\\n           \\\"signature\\\": \\\"Aut. Pavi\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"23\\\",\\n           \\\"name\\\": \\\"Suc.IHOEST Paul (Mme)\\\",\\n           \\\"address\\\": \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\",\\n           \\\"actions_o\\\": \\\"\\\",\\n           \\\"actions_p\\\": \\\"150\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"24\\\",\\n           \\\"name\\\": \\\"M.MASSON Daniel\\\",\\n           \\\"address\\\": \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\",\\n           \\\"actions_o\\\": \\\"10\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": true,\\n           \\\"signature\\\": \\\"Ant. Pavi\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"25\\\",\\n           \\\"name\\\": \\\"M. PANI Antonio\\\",\\n           \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n           \\\"actions_o\\\": \\\"10\\\",\\n           \\\"actions_p\\\": \\\"1\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": true,\\n           \\\"signature\\\": \\\"Ant. Pavi\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"26\\\",\\n           \\\"name\\\": \\\"M. POUQUET Maurice\\\",\\n           \\\"address\\\": \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\",\\n           \\\"actions_o\\\": \\\"1\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"27\\\",\\n           \\\"name\\\": \\\"Mme RAOULT Suzanne\\\",\\n           \\\"address\\\": \\\"195 rue de Grenelle PARIS\\\",\\n           \\\"actions_o\\\": \\\"10\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"28\\\",\\n           \\\"name\\\": \\\"Suc.RICHOMME de POSSON (Mme)\\\",\\n           \\\"address\\\": \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\",\\n           \\\"actions_o\\\": \\\"32\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"29\\\",\\n           \\\"name\\\": \\\"Mme SAVAEY M.L.\\\",\\n           \\\"address\\\": \\\"5, Avenue Weber GENEVE (Suisse)\\\",\\n           \\\"actions_o\\\": \\\"10\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        },\\n        {\\n           \\\"number\\\": \\\"30\\\",\\n           \\\"name\\\": \\\"M. SCHERESCHWESKY Philippe\\\",\\n           \\\"address\\\": \\\"34, Bd Marbeau PARIS (16\u00b0)\\\",\\n           \\\"actions_o\\\": \\\"1\\\",\\n           \\\"actions_p\\\": \\\"\\\",\\n           \\\"no_de_voix\\\": \\\"\\\",\\n           \\\"signature_present\\\": false,\\n           \\\"signature\\\": \\\"\\\"\\n        }\\n    ],\\n    \\\"total_actions\\\": {\\n        \\\"total_o\\\": \\\"933\\\",\\n        \\\"total_p\\\": \\\"2,554\\\",\\n        \\\"total_voix\\\": \\\"\\\"\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\",\"page_number\":3,\"entries\":[{\"number\":\"21\",\"name\":\"M.de la FONTAINE Lionel\",\"address\":\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\",\"actions_o\":\"2\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"22\",\"name\":\"M.LAUMAIN Robert\",\"address\":\"24 Avenue Gambetta MONTROUGE\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Pavi\"},{\"number\":\"23\",\"name\":\"Suc.IHOEST Paul (Mme)\",\"address\":\"1, rue J.B.Colyns IXELLES-\\nBRUXELLES.\",\"actions_o\":\"\",\"actions_p\":\"150\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"24\",\"name\":\"M.MASSON Daniel\",\"address\":\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Ant. Pavi\"},{\"number\":\"25\",\"name\":\"M. PANI Antonio\",\"address\":\"SESSA (Tessin) Suisse\",\"actions_o\":\"10\",\"actions_p\":\"1\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Ant. Pavi\"},{\"number\":\"26\",\"name\":\"M. POUQUET Maurice\",\"address\":\"Essendi\u00e8ras, par St M\u00e9dard\\nd'Excisuil (Dordogne)\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"27\",\"name\":\"Mme RAOULT Suzanne\",\"address\":\"195 rue de Grenelle PARIS\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"28\",\"name\":\"Suc.RICHOMME de POSSON (Mme)\",\"address\":\"37bis Promenade des Anglais\\nNICE (A-M)\",\"actions_o\":\"32\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"29\",\"name\":\"Mme SAVAEY M.L.\",\"address\":\"5, Avenue Weber GENEVE (Suisse)\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"30\",\"name\":\"M. SCHERESCHWESKY Philippe\",\"address\":\"34, Bd Marbeau PARIS (16\u00b0)\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"933\",\"total_p\":\"2,554\",\"total_voix\":\"\"}},\"reasoning\":\"The user wants me to extract data from a table in an image of a document.\\nThe document appears to be a list of shareholders for a company, likely \\\"Mines de Costano S.A.\\\" based on the prompt's context, though the image itself doesn't explicitly state the company name at the top, the prompt implies it.\\nThe output format is JSON, adhering to a specific schema.\\n\\n**Schema Analysis:**\\n- `document`: \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\" (from prompt)\\n- `page_number`: 3 (from prompt)\\n- `entries`: A list of objects, each representing a row in the table.\\n    - `number`: The row number (N\u00b0 D'ORDRE).\\n    - `name`: The name of the shareholder.\\n    - `address`: The address of the shareholder.\\n    - `actions_o`: Number of \\\"Actions de priorit\u00e9\\\" (implied by the column header \\\"ACTIONS de priorit\u00e9\\\").\\n    - `actions_p`: Number of \\\"Actions ordinaires\\\" (implied by the column header \\\"ordinaires\\\"). Wait, let's look closer at the headers.\\n        - Header: \\\"ACTIONS\\\"\\n        - Sub-headers: \\\"de priorit\u00e9\\\" (left column under Actions) and \\\"ordinaires\\\" (right column under Actions).\\n        - So `actions_o` corresponds to \\\"de priorit\u00e9\\\" and `actions_p` corresponds to \\\"ordinaires\\\"? Or is it the other way around?\\n        - Let's look at the schema: `actions_o` and `actions_p`. Usually 'o' stands for 'ordinaires' and 'p' for 'privil\u00e9gi\u00e9es' or 'priorit\u00e9'.\\n        - Let's re-examine the headers.\\n        - Left sub-column: \\\"de priorit\u00e9\\\".\\n        - Right sub-column: \\\"ordinaires\\\".\\n        - So `actions_o` likely maps to \\\"ordinaires\\\" and `actions_p` likely maps to \\\"de priorit\u00e9\\\"? Or maybe `actions_o` is \\\"Actions O...\\\" and `actions_p` is \\\"Actions P...\\\".\\n        - Let's assume standard naming: `actions_o` = ordinaires, `actions_p` = priorit\u00e9.\\n        - Wait, let's look at the \\\"REPORT\\\" row.\\n            - Left column (under \\\"de priorit\u00e9\\\"): 2403.\\n            - Right column (under \\\"ordinaires\\\"): 856.\\n        - Let's look at the totals at the bottom.\\n            - \\\"A REPORTER\\\" row.\\n            - Left column total: 2,554.\\n            - Right column total: 926.\\n            - Let's check the math.\\n            - Left column entries:\\n                - 21: (blank)\\n                - 22: (blank)\\n                - 23: 150\\n                - 24: (blank)\\n                - 25: 1\\n                - 26: (blank)\\n                - 27: (blank)\\n                - 28: (blank)\\n                - 29: (blank)\\n                - 30: (blank)\\n                - Sum: 150 + 1 = 151.\\n                - Previous total (REPORT): 2403.\\n                - New total: 2403 + 151 = 2554. This matches the bottom left number \\\"2,554\\\".\\n                - So the left column is indeed the one summing to 2554. The header for the left column is \\\"de priorit\u00e9\\\".\\n            - Right column entries:\\n                - 21: 2\\n                - 22: 1\\n                - 23: (blank)\\n                - 24: 10\\n                - 25: 10\\n                - 26: 1\\n                - 27: 10\\n                - 28: 32\\n                - 29: 10\\n                - 30: 1\\n                - Sum: 2+1+10+10+1+10+32+10+1 = 77.\\n                - Previous total (REPORT): 856.\\n                - New total: 856 + 77 = 933.\\n                - The bottom right number looks like \\\"926\\\" or \\\"933\\\". Let's look really closely at the bottom right. It looks like \\\"933\\\" actually, but the last digit is a bit scribbled. Or maybe \\\"926\\\". Let's re-add.\\n                - 21: 2\\n                - 22: 1\\n                - 24: 10\\n                - 25: 10\\n                - 26: 1\\n                - 27: 10\\n                - 28: 32\\n                - 29: 10\\n                - 30: 1\\n                - Total: 2+1+10+10+1+10+32+10+1 = 77.\\n                - 856 + 77 = 933.\\n                - The handwritten number at the bottom right looks like \\\"933\\\" but the middle 3 is weird. Or maybe it's \\\"926\\\" and I misread a number.\\n                - Let's re-read row 28. \\\"32\\\". Looks like 32.\\n                - Let's re-read row 21. \\\"2\\\". Looks like 2.\\n                - Let's re-read row 22. \\\"1\\\". Looks like 1.\\n                - Let's re-read row 24. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 25. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 26. \\\"1\\\". Looks like 1.\\n                - Let's re-read row 27. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 29. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 30. \\\"1\\\". Looks like 1.\\n                - Sum: 2+1+10+10+1+10+32+10+1 = 77.\\n                - 856 + 77 = 933.\\n                - The number at the bottom looks like \\\"933\\\" written messily. The last digit has a loop like a 3 or a 6. The middle digit looks like a 3.\\n                - Wait, let's look at the \\\"REPORT\\\" row again.\\n                - Left: 2403. Right: 856.\\n                - Bottom Left: 2,554. (2403 + 151 = 2554). Correct.\\n                - Bottom Right: Looks like \\\"933\\\" or \\\"926\\\". If it's 933, my sum is correct. If it's 926, then sum is 70. Difference is 7. Maybe row 28 is 25? No, looks like 32. Maybe row 21 is blank? No, looks like a 2.\\n                - Let's assume the sum is correct (933) and the handwriting is just messy. Or maybe the bottom number is \\\"933\\\".\\n    - `no_de_voix`: \\\"NOMBRE DE VOIX\\\". This column is empty for all rows.\\n    - `signature_present`: Boolean. True if there is a signature.\\n    - `signature`: The text of the signature.\\n\\n**Row by Row Extraction:**\\n\\n*   **Header Row:**\\n    *   N\u00b0 D'ORDRE\\n    *   NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\n    *   ACTIONS (de priorit\u00e9 / ordinaires)\\n    *   NOMBRE DE VOIX\\n    *   SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\n\\n*   **REPORT Row:**\\n    *   This is a carry-over row.\\n    *   Number: (Empty/Implicitly before 21)\\n    *   Name: REPORT\\n    *   Address: (Empty)\\n    *   Actions O (Priorit\u00e9): 2403\\n    *   Actions P (Ordinaires): 856\\n    *   Wait, the schema asks for `actions_o` and `actions_p`.\\n    *   Let's check the column headers again.\\n    *   Left sub-column: \\\"de priorit\u00e9\\\".\\n    *   Right sub-column: \\\"ordinaires\\\".\\n    *   Usually, O = Ordinaires, P = Priorit\u00e9/Privil\u00e9gi\u00e9es.\\n    *   So `actions_o` -> Right column (ordinaires). `actions_p` -> Left column (de priorit\u00e9).\\n    *   Let's verify this mapping.\\n    *   If `actions_o` is ordinaires, then for REPORT, `actions_o` = 856.\\n    *   If `actions_p` is priorit\u00e9, then for REPORT, `actions_p` = 2403.\\n    *   Let's look at the totals at the bottom.\\n    *   Left total: 2,554. Right total: 933 (assumed).\\n    *   If `actions_p` is the left column, total_p = 2554.\\n    *   If `actions_o` is the right column, total_o = 933.\\n    *   Total voix: The column \\\"NOMBRE DE VOIX\\\" is empty. But usually 1 action = 1 voice, or there's a specific rule. The column is empty, so `total_voix` might be the sum of actions or just empty. The schema has `total_voix`. The column \\\"NOMBRE DE VOIX\\\" is empty in the rows. I will leave it empty or calculate if obvious. The prompt says \\\"extract metadata\\\". I should extract what is there. The column is empty.\\n    *   Wait, let's look at the bottom right number again. It looks like \\\"933\\\" but the last digit is very looped. It could be \\\"926\\\".\\n    *   Let's re-calculate: 856 + 70 = 926.\\n    *   Where could I lose 7?\\n    *   Row 28: 32. If it was 25? No, looks like 32.\\n    *   Row 21: 2. If it was blank? No, looks like a 2.\\n    *   Row 25: 10.\\n    *   Row 27: 10.\\n    *   Row 29: 10.\\n    *   Maybe row 28 is 25? \\\"32\\\" is written. The 3 is distinct.\\n    *   Maybe row 21 is not 2? It's a squiggle. Could be a checkmark? No, looks like a '2'.\\n    *   Let's assume the handwritten total is correct and I am misreading a digit.\\n    *   Or maybe the \\\"REPORT\\\" right column is 856.\\n    *   Let's look at row 23. Left column has \\\"150\\\".\\n    *   Let's look at row 25. Left column has \\\"1\\\".\\n    *   Total Left: 2403 + 150 + 1 = 2554. This is solid.\\n    *   So Left Column = Priorit\u00e9.\\n    *   Right Column = Ordinaires.\\n    *   So `actions_p` (Priorit\u00e9) = Left Column values.\\n    *   `actions_o` (Ordinaires) = Right Column values.\\n    *   This seems the most logical mapping given \\\"o\\\" and \\\"p\\\".\\n\\n*   **Row 21:**\\n    *   Number: 21\\n    *   Name: M.de la FONTAINE Lionel\\n    *   Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n    *   Actions O (Ordinaires): 2\\n    *   Actions P (Priorit\u00e9): (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 22:**\\n    *   Number: 22\\n    *   Name: M.LAUMAIN Robert\\n    *   Address: 24 Avenue Gambetta MONTROUGE\\n    *   Actions O: 1\\n    *   Actions P: (Empty)\\n    *   Signature: \\\"Aut. Pavi\\\" or \\\"Ant. Pavi\\\"? Looks like \\\"Aut. Pavi\\\" or \\\"Ant. Pavi\\\". The signature in row 24 and 25 is similar. \\\"Ant. Pavi\\\" or \\\"Aut. Pavi\\\". Let's look at row 24. \\\"Ant. Pavi\\\". Row 25 \\\"Ant. Pavi\\\". Row 22 \\\"Aut. Pavi\\\". The first letter looks like 'A', then 'u' or 'n', then 't'. \\\"Ant\\\" is common for Antoine. \\\"Aut\\\" is less common. But looking at row 24, it looks like \\\"Ant\\\". Row 22 looks like \\\"Aut\\\". Let's transcribe what I see. \\\"Aut. Pavi\\\". Or maybe \\\"Avt. Pavi\\\". Let's assume it's a proxy signature \\\"Pour...\\\"? No, looks like a name. \\\"Ant. Pavi\\\" seems likely for Antoine Pavi. But row 22 looks like \\\"Aut\\\". Let's look at the 'n' in \\\"Lionel\\\" or \\\"Robert\\\". The 'n' is distinct. The letter in the signature looks like a 'u' or 'n'. Let's go with \\\"Aut. Pavi\\\" for row 22 and \\\"Ant. Pavi\\\" for 24/25 if they differ, or consistent. Actually, row 24 and 25 look identical. Row 22 looks slightly different, maybe \\\"Aut\\\". Let's transcribe \\\"Aut. Pavi\\\" for 22 and \\\"Ant. Pavi\\\" for 24/25. Wait, looking really closely at crop 2, row 22 signature: \\\"Aut. Pavi\\\". Crop 4, row 24 signature: \\\"Ant. Pavi\\\". Crop 5, row 25 signature: \\\"Ant. Pavi\\\". Okay, I will distinguish them.\\n\\n*   **Row 23:**\\n    *   Number: 23\\n    *   Name: Suc.IHOEST Paul (Mme)\\n    *   Address: 1, rue J.B.Colyns IXELLES-BRUXELLES.\\n    *   Actions O: (Empty)\\n    *   Actions P: 150\\n    *   Signature: (Empty)\\n\\n*   **Row 24:**\\n    *   Number: 24\\n    *   Name: M.MASSON Daniel\\n    *   Address: 3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n    *   Actions O: 10\\n    *   Actions P: (Empty)\\n    *   Signature: \\\"Ant. Pavi\\\"\\n\\n*   **Row 25:**\\n    *   Number: 25\\n    *   Name: M. PANI Antonio\\n    *   Address: SESSA (Tessin) Suisse\\n    *   Actions O: 10\\n    *   Actions P: 1 (Wait, looking at row 25. Left column has a '1'. Right column has '10'.\\n    *   Let's re-examine row 25.\\n    *   Left column (Priorit\u00e9): There is a vertical mark. Looks like a '1'.\\n    *   Right column (Ordinaires): '10'.\\n    *   So Actions P = 1, Actions O = 10.\\n\\n*   **Row 26:**\\n    *   Number: 26\\n    *   Name: M. POUQUET Maurice\\n    *   Address: Essendi\u00e8ras, par St M\u00e9dard d'Excisuil (Dordogne)\\n    *   Actions O: 1\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 27:**\\n    *   Number: 27\\n    *   Name: Mme RAOULT Suzanne\\n    *   Address: 195 rue de Grenelle PARIS\\n    *   Actions O: 10\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 28:**\\n    *   Number: 28\\n    *   Name: Suc.RICHOMME de POSSON (Mme)\\n    *   Address: 37bis Promenade des Anglais NICE (A-M)\\n    *   Actions O: 32\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 29:**\\n    *   Number: 29\\n    *   Name: Mme SAVAEY M.L.\\n    *   Address: 5, Avenue Weber GENEVE (Suisse)\\n    *   Actions O: 10\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 30:**\\n    *   Number: 30\\n    *   Name: M. SCHERESCHWESKY Philippe\\n    *   Address: 34, Bd Marbeau PARIS (16\u00b0)\\n    *   Actions O: 1\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Footer Row (A REPORTER):**\\n    *   This is a total row.\\n    *   Number: (Empty)\\n    *   Name: A REPORTER\\n    *   Address: (Empty)\\n    *   Actions O (Ordinaires - Right Col): 933 (or 926). Let's look at the handwritten total again. \\\"2,554 - 933\\\". The dash suggests subtraction? No, it's likely separating the two totals. \\\"2,554\\\" and \\\"933\\\". The second number looks like 933. The middle digit is a 3. The last digit is a 3.\\n    *   Actions P (Priorit\u00e9 - Left Col): 2,554.\\n    *   Wait, the text at the bottom is \\\"2,554 - 933\\\".\\n    *   So Total P = 2554. Total O = 933.\\n    *   Total Voix: The column is empty. I will leave it empty or null. The schema requires a string. I'll use empty string.\\n\\n**Refining the \\\"Name and Address\\\" separation:**\\nThe prompt says: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\"\\nActually, looking at the image, Name and Address are on separate lines within the cell.\\nExample Row 21:\\nLine 1: M.de la FONTAINE Lionel\\nLine 2: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\nSo Name = \\\"M.de la FONTAINE Lionel\\\", Address = \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\".\\nThe prompt says \\\"Lose any dashes between name and address\\\". This might refer to a visual separator if they were on the same line, but here they are on separate lines. I will just split by newline.\\n\\\"preserve linebreaks\\\" -> This probably applies if the address itself has linebreaks.\\nExample Row 23:\\nName: Suc.IHOEST Paul (Mme)\\nAddress: 1, rue J.B.Colyns IXELLES-BRUXELLES. (This is on two lines in the cell? No, looks like one line wrapped or two lines. \\\"1, rue J.B.Colyns IXELLES-\\\" then \\\"BRUXELLES.\\\" on next line. I should preserve the linebreak in the address if it exists.)\\nLet's look at Row 23 address: \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\"\\nRow 26 address: \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\"\\nRow 28 address: \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\"\\n\\n**Mapping `actions_o` and `actions_p`:**\\nSchema: `actions_o`, `actions_p`.\\nHeaders: \\\"de priorit\u00e9\\\" (Left), \\\"ordinaires\\\" (Right).\\nStandard convention: O = Ordinaires, P = Priorit\u00e9.\\nSo `actions_o` = Right Column. `actions_p` = Left Column.\\n\\n**Total Actions:**\\n`total_o`: Sum of `actions_o` column (Right). Value at bottom: 933.\\n`total_p`: Sum of `actions_p` column (Left). Value at bottom: 2,554.\\n`total_voix`: Column \\\"NOMBRE DE VOIX\\\" is empty. I will output empty string.\\n\\n**Signatures:**\\nRow 22: \\\"Aut. Pavi\\\" (or similar).\\nRow 24: \\\"Ant. Pavi\\\".\\nRow 25: \\\"Ant. Pavi\\\".\\n\\n**Let's check the bottom total text again.**\\n\\\"A REPORTER\\\"\\nBelow the columns: \\\"2,554 - 933\\\".\\nThe dash is likely a separator.\\nSo `total_p` = \\\"2,554\\\". `total_o` = \\\"933\\\".\\n\\n**Let's check Row 25 again.**\\nLeft column (Priorit\u00e9): There is a faint '1'.\\nRight column (Ordinaires): '10'.\\nSo `actions_p` = \\\"1\\\", `actions_o` = \\\"10\\\".\\n\\n**Let's check Row 21 again.**\\nRight column: '2'.\\nLeft column: Empty.\\n\\n**Let's check Row 23 again.**\\nLeft column: '150'.\\nRight column: Empty.\\n\\n**Let's check Row 28 again.**\\nRight column: '32'.\\n\\n**Let's check Row 30 again.**\\nRight column: '1'.\\n\\n**Final check on \\\"Lose any dashes between name and address\\\".**\\nIn Row 21, \\\"MARRAKECH-MEDINA\\\" has a dash. This is part of the address. Preserve it.\\nThe instruction likely means if there was a dash *separating* the name field from the address field (like \\\"Name - Address\\\"), remove it. Here they are on separate lines, so no separator dash to remove.\\n\\n**Constructing the JSON:**\\n\\nDocument: \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\"\\nPage: 3\\n\\nEntries:\\n1.  **21**:\\n    *   number: \\\"21\\\"\\n    *   name: \\\"M.de la FONTAINE Lionel\\\"\\n    *   address: \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\"\\n    *   actions_o: \\\"2\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n2.  **22**:\\n    *   number: \\\"22\\\"\\n    *   name: \\\"M.LAUMAIN Robert\\\"\\n    *   address: \\\"24 Avenue Gambetta MONTROUGE\\\"\\n    *   actions_o: \\\"1\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: true\\n    *   signature: \\\"Aut. Pavi\\\" (Looking really closely at crop 2, the first letter is A, second is u/n, third is t. \\\"Aut\\\" or \\\"Ant\\\". Given \\\"Ant\\\" in other rows, maybe it's \\\"Ant\\\" written fast. But the loop looks like a 'u'. I'll transcribe \\\"Aut. Pavi\\\" to be safe, or \\\"Ant. Pavi\\\" if I assume consistency. The prompt asks to extract. I see \\\"Aut\\\". Wait, looking at row 24, the 'n' is distinct. In row 22, it looks like a 'u'. I will write \\\"Aut. Pavi\\\".) Actually, looking at row 24 and 25, the signature is clearly \\\"Ant. Pavi\\\". Row 22 looks like \\\"Aut. Pavi\\\". I will stick to what I see.\\n\\n3.  **23**:\\n    *   number: \\\"23\\\"\\n    *   name: \\\"Suc.IHOEST Paul (Mme)\\\"\\n    *   address: \\\"1, rue J.B.Colyns IXELLES-BRUXELLES.\\\" (Note: \\\"IXELLES-\\\" is on one line, \\\"BRUXELLES.\\\" on next. I should preserve linebreak. \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\")\\n    *   actions_o: \\\"\\\"\\n    *   actions_p: \\\"150\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n4.  **24**:\\n    *   number: \\\"24\\\"\\n    *   name: \\\"M.MASSON Daniel\\\"\\n    *   address: \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: true\\n    *   signature: \\\"Ant. Pavi\\\"\\n\\n5.  **25**:\\n    *   number: \\\"25\\\"\\n    *   name: \\\"M. PANI Antonio\\\"\\n    *   address: \\\"SESSA (Tessin) Suisse\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"1\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: true\\n    *   signature: \\\"Ant. Pavi\\\"\\n\\n6.  **26**:\\n    *   number: \\\"26\\\"\\n    *   name: \\\"M. POUQUET Maurice\\\"\\n    *   address: \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\"\\n    *   actions_o: \\\"1\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n7.  **27**:\\n    *   number: \\\"27\\\"\\n    *   name: \\\"Mme RAOULT Suzanne\\\"\\n    *   address: \\\"195 rue de Grenelle PARIS\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n8.  **28**:\\n    *   number: \\\"28\\\"\\n    *   name: \\\"Suc.RICHOMME de POSSON (Mme)\\\"\\n    *   address: \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\"\\n    *   actions_o: \\\"32\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n9.  **29**:\\n    *   number: \\\"29\\\"\\n    *   name: \\\"Mme SAVAEY M.L.\\\"\\n    *   address: \\\"5, Avenue Weber GENEVE (Suisse)\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n10. **30**:\\n    *   number: \\\"30\\\"\\n    *   name: \\\"M. SCHERESCHWESKY Philippe\\\"\\n    *   address: \\\"34, Bd Marbeau PARIS (16\u00b0)\\\"\\n    *   actions_o: \\\"1\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n**Total Actions:**\\n*   total_o: \\\"933\\\" (Based on visual inspection of \\\"933\\\" and sum calculation 856+77=933).\\n*   total_p: \\\"2,554\\\"\\n*   total_voix: \\\"\\\"\\n\\nOne detail: Row 23 address. \\\"1, rue J.B.Colyns IXELLES-\\\" and \\\"BRUXELLES.\\\" are on separate lines.\\nOne detail: Row 26 address. \\\"Essendi\u00e8ras, par St M\u00e9dard\\\" and \\\"d'Excisuil (Dordogne)\\\" are on separate lines.\\nOne detail: Row 28 address. \\\"37bis Promenade des Anglais\\\" and \\\"NICE (A-M)\\\" are on separate lines.\\n\\nI need to make sure I handle the \\\"REPORT\\\" row. The schema asks for \\\"entries\\\". The \\\"REPORT\\\" row is technically an entry in the table structure, carrying over totals.\\nShould I include it?\\nThe prompt says \\\"extract the metadata\\\". Usually, this implies the data rows. The \\\"REPORT\\\" row is a summary of previous pages.\\nHowever, it is a row in the table.\\nLet's look at the \\\"entries\\\" definition. It has \\\"number\\\". The REPORT row has no number.\\nI will exclude the \\\"REPORT\\\" row from the `entries` list because it doesn't have a sequence number like the others (21-30). It's a header/carry-over.\\nWait, looking at the image, \\\"REPORT\\\" is written in the Name column.\\nIf I include it:\\nnumber: \\\"\\\"\\nname: \\\"REPORT\\\"\\naddress: \\\"\\\"\\nactions_o: \\\"856\\\"\\nactions_p: \\\"2403\\\"\\n...\\nThe prompt asks to extract entries. Usually, this means the numbered items. I will stick to items 21-30.\\n\\nWait, looking at the totals at the bottom \\\"A REPORTER\\\". This is the new total to be carried to the next page.\\nThe \\\"REPORT\\\" at the top is the total from the previous page.\\nI will extract rows 21 through 30.\\n\\nOne final check on signatures.\\nRow 22: \\\"Aut. Pavi\\\" vs \\\"Ant. Pavi\\\".\\nRow 24: \\\"Ant. Pavi\\\".\\nRow 25: \\\"Ant. Pavi\\\".\\nThe signature in 22 looks slightly different. The middle letter is very rounded, like a 'u'. \\\"Aut\\\".\\nThe signature in 24/25 has a sharper 'n'. \\\"Ant\\\".\\nI will transcribe \\\"Aut. Pavi\\\" for 22.\\n\\nOne final check on Row 25 actions.\\nLeft column (Priorit\u00e9): There is a vertical stroke. It aligns with the '1' in '150' above and '10' below (wait, 10 is in right column).\\nLet's look at the columns again.\\nRow 23: Left '150'.\\nRow 24: Right '10'.\\nRow 25: Left '1', Right '10'.\\nYes, Row 25 has entries in both columns.\\nLeft: 1. Right: 10.\\nSo `actions_p` = \\\"1\\\", `actions_o` = \\\"10\\\".\\n\\nOne final check on Row 21 actions.\\nRight column: '2'.\\nLeft column: Empty.\\n\\nOne final check on Row 26 actions.\\nRight column: '1'.\\nLeft column: Empty.\\n\\nOne final check on Row 30 actions.\\nRight column: '1'.\\nLeft column: Empty.\\n\\nOkay, I'm ready.\\n\\n```json\\n{\\n  \\\"document\\\": \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\",\\n  \\\"page_number\\\": 3,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"21\\\",\\n      \\\"name\\\": \\\"M.de la FONTAINE Lionel\\\",\\n      \\\"address\\\": \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\",\\n      \\\"actions_o\\\": \\\"2\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"22\\\",\\n      \\\"name\\\": \\\"M.LAUMAIN Robert\\\",\\n      \\\"address\\\": \\\"24 Avenue Gambetta MONTROUGE\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Aut. Pavi\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"23\\\",\\n      \\\"name\\\": \\\"Suc.IHOEST Paul (Mme)\\\",\\n      \\\"address\\\": \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"150\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"24\\\",\\n      \\\"name\\\": \\\"M.MASSON Daniel\\\",\\n      \\\"address\\\": \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Ant. Pavi\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"25\\\",\\n      \\\"name\\\": \\\"M. PANI Antonio\\\",\\n      \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Ant. Pavi\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"26\\\",\\n      \\\"name\\\": \\\"M. POUQUET Maurice\\\",\\n      \\\"address\\\": \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"27\\\",\\n      \\\"name\\\": \\\"Mme RAOULT Suzanne\\\",\\n      \\\"address\\\": \\\"195 rue de Grenelle PARIS\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"28\\\",\\n      \\\"name\\\": \\\"Suc.RICHOMME de POSSON (Mme)\\\",\\n      \\\"address\\\": \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\",\\n      \\\"actions_o\\\": \\\"32\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"29\\\",\\n      \\\"name\\\": \\\"Mme SAVAEY M.L.\\\",\\n      \\\"address\\\": \\\"5, Avenue Weber GENEVE (Suisse)\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"30\\\",\\n      \\\"name\\\": \\\"M. SCHERESCHWESKY Philippe\\\",\\n      \\\"address\\\": \\\"34, Bd Marbeau PARIS (16\u00b0)\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"933\\\",\\n    \\\"total_p\\\": \\\"2,554\\\",\\n    \\\"total_voix\\\": \\\"\\\"\\n  }\\n}\\n```\\nWait, I should check the total_o value again.\\nThe handwritten number is \\\"2,554 - 933\\\" (or 926).\\nIf I sum the visible numbers:\\nRight column (Ordinaires):\\nReport: 856\\n21: 2\\n22: 1\\n24: 10\\n25: 10\\n26: 1\\n27: 10\\n28: 32\\n29: 10\\n30: 1\\nSum of new entries: 2+1+10+10+1+10+32+10+1 = 77.\\nTotal: 856 + 77 = 933.\\nSo \\\"933\\\" is the mathematically correct sum. The handwriting looks like 933 (the last 3 is just looped). I will use \\\"933\\\".\\n\\nOne small detail: \\\"M.de la FONTAINE Lionel\\\". There is a space after M. ? \\\"M.de\\\". It looks like \\\"M.de\\\". I will transcribe as seen.\\n\\\"M.LAUMAIN\\\". No space.\\n\\\"Suc.IHOEST\\\". No space.\\n\\\"M.MASSON\\\". No space.\\n\\\"M. PANI\\\". Space.\\n\\\"M. POUQUET\\\". Space.\\n\\\"Mme RAOULT\\\". Space.\\n\\\"Suc.RICHOMME\\\". No space.\\n\\\"Mme SAVAEY\\\". Space.\\n\\\"M. SCHERESCHWESKY\\\". Space.\\n\\nI will try to be faithful to the spacing in the image.\\nRow 21: \\\"M.de la FONTAINE Lionel\\\" -> Looks like \\\"M.de la\\\".\\nRow 22: \\\"M.LAUMAIN Robert\\\" -> Looks like \\\"M.LAUMAIN\\\".\\nRow 23: \\\"Suc.IHOEST Paul (Mme)\\\" -> Looks like \\\"Suc.IHOEST\\\".\\nRow 24: \\\"M.MASSON Daniel\\\" -> Looks like \\\"M.MASSON\\\".\\nRow 25: \\\"M. PANI Antonio\\\" -> Looks like \\\"M. PANI\\\".\\nRow 26: \\\"M. POUQUET Maurice\\\" -> Looks like \\\"M. POUQUET\\\".\\nRow 27: \\\"Mme RAOULT Suzanne\\\" -> Looks like \\\"Mme RAOULT\\\".\\nRow 28: \\\"Suc.RICHOMME de POSSON (Mme)\\\" -> Looks like \\\"Suc.RICHOMME\\\".\\nRow 29: \\\"Mme SAVAEY M.L.\\\" -> Looks like \\\"Mme SAVAEY\\\".\\nRow 30: \\\"M. SCHERESCHWESKY Philippe\\\" -> Looks like \\\"M. SCHERESCHWESKY\\\".\\n\\nThe prompt says \\\"Lose any dashes between name and address\\\".\\nIn row 23, \\\"IXELLES-BRUXELLES\\\" has a dash. This is inside the address.\\nIn row 24, \\\"(S-et-O)\\\" has dashes. Inside address.\\nIn row 28, \\\"(A-M)\\\" has a dash. Inside address.\\nThe instruction likely refers to a separator like \\\"Name - Address\\\". Since they are on new lines, there are no such dashes.\\n\\nFinal check on Row 25 signature.\\nIt looks like \\\"Ant. Pavi\\\". Same as row 24.\\nFinal check on Row 22 signature.\\nIt looks like \\\"Aut. Pavi\\\". The 'u' is quite distinct compared to the 'n' in row 24. I'll stick with \\\"Aut. Pavi\\\".\\n\\nOne detail: \\\"no_de_voix\\\". The column is \\\"NOMBRE DE VOIX\\\". It is empty for all rows.\\nThe totals row has \\\"total_voix\\\". I will leave it empty.\\n\\nOne detail: \\\"actions_o\\\" and \\\"actions_p\\\".\\nI've mapped:\\nactions_o (Ordinaires) -> Right Column.\\nactions_p (Priorit\u00e9) -> Left Column.\\nThis is consistent with \\\"o\\\" and \\\"p\\\" and the headers.\\n\\nOne detail: Row 23 address linebreak.\\n\\\"1, rue J.B.Colyns IXELLES-\\\"\\n\\\"BRUXELLES.\\\"\\nI will include the newline character.\\n\\nOne detail: Row 26 address linebreak.\\n\\\"Essendi\u00e8ras, par St M\u00e9dard\\\"\\n\\\"d'Excisuil (Dordogne)\\\"\\nI will include the newline character.\\n\\nOne detail: Row 28 address linebreak.\\n\\\"37bis Promenade des Anglais\\\"\\n\\\"NICE (A-M)\\\"\\nI will include the newline character.\\n\\nThe \\\"REPORT\\\" row at the top.\\nI will not include it in `entries` as it has no number and is a carry-over.\\nThe \\\"A REPORTER\\\" row at the bottom.\\nI will not include it in `entries`. I will use its values for `total_actions`.\\n\\nThe values for `total_actions`:\\ntotal_o: \\\"933\\\"\\ntotal_p: \\\"2,554\\\"\\ntotal_voix: \\\"\\\"\\n\\nLooks good.\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract data from a table in an image of a document.\\nThe document appears to be a list of shareholders for a company, likely \\\"Mines de Costano S.A.\\\" based on the prompt's context, though the image itself doesn't explicitly state the company name at the top, the prompt implies it.\\nThe output format is JSON, adhering to a specific schema.\\n\\n**Schema Analysis:**\\n- `document`: \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\" (from prompt)\\n- `page_number`: 3 (from prompt)\\n- `entries`: A list of objects, each representing a row in the table.\\n    - `number`: The row number (N\u00b0 D'ORDRE).\\n    - `name`: The name of the shareholder.\\n    - `address`: The address of the shareholder.\\n    - `actions_o`: Number of \\\"Actions de priorit\u00e9\\\" (implied by the column header \\\"ACTIONS de priorit\u00e9\\\").\\n    - `actions_p`: Number of \\\"Actions ordinaires\\\" (implied by the column header \\\"ordinaires\\\"). Wait, let's look closer at the headers.\\n        - Header: \\\"ACTIONS\\\"\\n        - Sub-headers: \\\"de priorit\u00e9\\\" (left column under Actions) and \\\"ordinaires\\\" (right column under Actions).\\n        - So `actions_o` corresponds to \\\"de priorit\u00e9\\\" and `actions_p` corresponds to \\\"ordinaires\\\"? Or is it the other way around?\\n        - Let's look at the schema: `actions_o` and `actions_p`. Usually 'o' stands for 'ordinaires' and 'p' for 'privil\u00e9gi\u00e9es' or 'priorit\u00e9'.\\n        - Let's re-examine the headers.\\n        - Left sub-column: \\\"de priorit\u00e9\\\".\\n        - Right sub-column: \\\"ordinaires\\\".\\n        - So `actions_o` likely maps to \\\"ordinaires\\\" and `actions_p` likely maps to \\\"de priorit\u00e9\\\"? Or maybe `actions_o` is \\\"Actions O...\\\" and `actions_p` is \\\"Actions P...\\\".\\n        - Let's assume standard naming: `actions_o` = ordinaires, `actions_p` = priorit\u00e9.\\n        - Wait, let's look at the \\\"REPORT\\\" row.\\n            - Left column (under \\\"de priorit\u00e9\\\"): 2403.\\n            - Right column (under \\\"ordinaires\\\"): 856.\\n        - Let's look at the totals at the bottom.\\n            - \\\"A REPORTER\\\" row.\\n            - Left column total: 2,554.\\n            - Right column total: 926.\\n            - Let's check the math.\\n            - Left column entries:\\n                - 21: (blank)\\n                - 22: (blank)\\n                - 23: 150\\n                - 24: (blank)\\n                - 25: 1\\n                - 26: (blank)\\n                - 27: (blank)\\n                - 28: (blank)\\n                - 29: (blank)\\n                - 30: (blank)\\n                - Sum: 150 + 1 = 151.\\n                - Previous total (REPORT): 2403.\\n                - New total: 2403 + 151 = 2554. This matches the bottom left number \\\"2,554\\\".\\n                - So the left column is indeed the one summing to 2554. The header for the left column is \\\"de priorit\u00e9\\\".\\n            - Right column entries:\\n                - 21: 2\\n                - 22: 1\\n                - 23: (blank)\\n                - 24: 10\\n                - 25: 10\\n                - 26: 1\\n                - 27: 10\\n                - 28: 32\\n                - 29: 10\\n                - 30: 1\\n                - Sum: 2+1+10+10+1+10+32+10+1 = 77.\\n                - Previous total (REPORT): 856.\\n                - New total: 856 + 77 = 933.\\n                - The bottom right number looks like \\\"926\\\" or \\\"933\\\". Let's look really closely at the bottom right. It looks like \\\"933\\\" actually, but the last digit is a bit scribbled. Or maybe \\\"926\\\". Let's re-add.\\n                - 21: 2\\n                - 22: 1\\n                - 24: 10\\n                - 25: 10\\n                - 26: 1\\n                - 27: 10\\n                - 28: 32\\n                - 29: 10\\n                - 30: 1\\n                - Total: 2+1+10+10+1+10+32+10+1 = 77.\\n                - 856 + 77 = 933.\\n                - The handwritten number at the bottom right looks like \\\"933\\\" but the middle 3 is weird. Or maybe it's \\\"926\\\" and I misread a number.\\n                - Let's re-read row 28. \\\"32\\\". Looks like 32.\\n                - Let's re-read row 21. \\\"2\\\". Looks like 2.\\n                - Let's re-read row 22. \\\"1\\\". Looks like 1.\\n                - Let's re-read row 24. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 25. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 26. \\\"1\\\". Looks like 1.\\n                - Let's re-read row 27. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 29. \\\"10\\\". Looks like 10.\\n                - Let's re-read row 30. \\\"1\\\". Looks like 1.\\n                - Sum: 2+1+10+10+1+10+32+10+1 = 77.\\n                - 856 + 77 = 933.\\n                - The number at the bottom looks like \\\"933\\\" written messily. The last digit has a loop like a 3 or a 6. The middle digit looks like a 3.\\n                - Wait, let's look at the \\\"REPORT\\\" row again.\\n                - Left: 2403. Right: 856.\\n                - Bottom Left: 2,554. (2403 + 151 = 2554). Correct.\\n                - Bottom Right: Looks like \\\"933\\\" or \\\"926\\\". If it's 933, my sum is correct. If it's 926, then sum is 70. Difference is 7. Maybe row 28 is 25? No, looks like 32. Maybe row 21 is blank? No, looks like a 2.\\n                - Let's assume the sum is correct (933) and the handwriting is just messy. Or maybe the bottom number is \\\"933\\\".\\n    - `no_de_voix`: \\\"NOMBRE DE VOIX\\\". This column is empty for all rows.\\n    - `signature_present`: Boolean. True if there is a signature.\\n    - `signature`: The text of the signature.\\n\\n**Row by Row Extraction:**\\n\\n*   **Header Row:**\\n    *   N\u00b0 D'ORDRE\\n    *   NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\n    *   ACTIONS (de priorit\u00e9 / ordinaires)\\n    *   NOMBRE DE VOIX\\n    *   SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES\\n\\n*   **REPORT Row:**\\n    *   This is a carry-over row.\\n    *   Number: (Empty/Implicitly before 21)\\n    *   Name: REPORT\\n    *   Address: (Empty)\\n    *   Actions O (Priorit\u00e9): 2403\\n    *   Actions P (Ordinaires): 856\\n    *   Wait, the schema asks for `actions_o` and `actions_p`.\\n    *   Let's check the column headers again.\\n    *   Left sub-column: \\\"de priorit\u00e9\\\".\\n    *   Right sub-column: \\\"ordinaires\\\".\\n    *   Usually, O = Ordinaires, P = Priorit\u00e9/Privil\u00e9gi\u00e9es.\\n    *   So `actions_o` -> Right column (ordinaires). `actions_p` -> Left column (de priorit\u00e9).\\n    *   Let's verify this mapping.\\n    *   If `actions_o` is ordinaires, then for REPORT, `actions_o` = 856.\\n    *   If `actions_p` is priorit\u00e9, then for REPORT, `actions_p` = 2403.\\n    *   Let's look at the totals at the bottom.\\n    *   Left total: 2,554. Right total: 933 (assumed).\\n    *   If `actions_p` is the left column, total_p = 2554.\\n    *   If `actions_o` is the right column, total_o = 933.\\n    *   Total voix: The column \\\"NOMBRE DE VOIX\\\" is empty. But usually 1 action = 1 voice, or there's a specific rule. The column is empty, so `total_voix` might be the sum of actions or just empty. The schema has `total_voix`. The column \\\"NOMBRE DE VOIX\\\" is empty in the rows. I will leave it empty or calculate if obvious. The prompt says \\\"extract metadata\\\". I should extract what is there. The column is empty.\\n    *   Wait, let's look at the bottom right number again. It looks like \\\"933\\\" but the last digit is very looped. It could be \\\"926\\\".\\n    *   Let's re-calculate: 856 + 70 = 926.\\n    *   Where could I lose 7?\\n    *   Row 28: 32. If it was 25? No, looks like 32.\\n    *   Row 21: 2. If it was blank? No, looks like a 2.\\n    *   Row 25: 10.\\n    *   Row 27: 10.\\n    *   Row 29: 10.\\n    *   Maybe row 28 is 25? \\\"32\\\" is written. The 3 is distinct.\\n    *   Maybe row 21 is not 2? It's a squiggle. Could be a checkmark? No, looks like a '2'.\\n    *   Let's assume the handwritten total is correct and I am misreading a digit.\\n    *   Or maybe the \\\"REPORT\\\" right column is 856.\\n    *   Let's look at row 23. Left column has \\\"150\\\".\\n    *   Let's look at row 25. Left column has \\\"1\\\".\\n    *   Total Left: 2403 + 150 + 1 = 2554. This is solid.\\n    *   So Left Column = Priorit\u00e9.\\n    *   Right Column = Ordinaires.\\n    *   So `actions_p` (Priorit\u00e9) = Left Column values.\\n    *   `actions_o` (Ordinaires) = Right Column values.\\n    *   This seems the most logical mapping given \\\"o\\\" and \\\"p\\\".\\n\\n*   **Row 21:**\\n    *   Number: 21\\n    *   Name: M.de la FONTAINE Lionel\\n    *   Address: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\n    *   Actions O (Ordinaires): 2\\n    *   Actions P (Priorit\u00e9): (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 22:**\\n    *   Number: 22\\n    *   Name: M.LAUMAIN Robert\\n    *   Address: 24 Avenue Gambetta MONTROUGE\\n    *   Actions O: 1\\n    *   Actions P: (Empty)\\n    *   Signature: \\\"Aut. Pavi\\\" or \\\"Ant. Pavi\\\"? Looks like \\\"Aut. Pavi\\\" or \\\"Ant. Pavi\\\". The signature in row 24 and 25 is similar. \\\"Ant. Pavi\\\" or \\\"Aut. Pavi\\\". Let's look at row 24. \\\"Ant. Pavi\\\". Row 25 \\\"Ant. Pavi\\\". Row 22 \\\"Aut. Pavi\\\". The first letter looks like 'A', then 'u' or 'n', then 't'. \\\"Ant\\\" is common for Antoine. \\\"Aut\\\" is less common. But looking at row 24, it looks like \\\"Ant\\\". Row 22 looks like \\\"Aut\\\". Let's transcribe what I see. \\\"Aut. Pavi\\\". Or maybe \\\"Avt. Pavi\\\". Let's assume it's a proxy signature \\\"Pour...\\\"? No, looks like a name. \\\"Ant. Pavi\\\" seems likely for Antoine Pavi. But row 22 looks like \\\"Aut\\\". Let's look at the 'n' in \\\"Lionel\\\" or \\\"Robert\\\". The 'n' is distinct. The letter in the signature looks like a 'u' or 'n'. Let's go with \\\"Aut. Pavi\\\" for row 22 and \\\"Ant. Pavi\\\" for 24/25 if they differ, or consistent. Actually, row 24 and 25 look identical. Row 22 looks slightly different, maybe \\\"Aut\\\". Let's transcribe \\\"Aut. Pavi\\\" for 22 and \\\"Ant. Pavi\\\" for 24/25. Wait, looking really closely at crop 2, row 22 signature: \\\"Aut. Pavi\\\". Crop 4, row 24 signature: \\\"Ant. Pavi\\\". Crop 5, row 25 signature: \\\"Ant. Pavi\\\". Okay, I will distinguish them.\\n\\n*   **Row 23:**\\n    *   Number: 23\\n    *   Name: Suc.IHOEST Paul (Mme)\\n    *   Address: 1, rue J.B.Colyns IXELLES-BRUXELLES.\\n    *   Actions O: (Empty)\\n    *   Actions P: 150\\n    *   Signature: (Empty)\\n\\n*   **Row 24:**\\n    *   Number: 24\\n    *   Name: M.MASSON Daniel\\n    *   Address: 3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\n    *   Actions O: 10\\n    *   Actions P: (Empty)\\n    *   Signature: \\\"Ant. Pavi\\\"\\n\\n*   **Row 25:**\\n    *   Number: 25\\n    *   Name: M. PANI Antonio\\n    *   Address: SESSA (Tessin) Suisse\\n    *   Actions O: 10\\n    *   Actions P: 1 (Wait, looking at row 25. Left column has a '1'. Right column has '10'.\\n    *   Let's re-examine row 25.\\n    *   Left column (Priorit\u00e9): There is a vertical mark. Looks like a '1'.\\n    *   Right column (Ordinaires): '10'.\\n    *   So Actions P = 1, Actions O = 10.\\n\\n*   **Row 26:**\\n    *   Number: 26\\n    *   Name: M. POUQUET Maurice\\n    *   Address: Essendi\u00e8ras, par St M\u00e9dard d'Excisuil (Dordogne)\\n    *   Actions O: 1\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 27:**\\n    *   Number: 27\\n    *   Name: Mme RAOULT Suzanne\\n    *   Address: 195 rue de Grenelle PARIS\\n    *   Actions O: 10\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 28:**\\n    *   Number: 28\\n    *   Name: Suc.RICHOMME de POSSON (Mme)\\n    *   Address: 37bis Promenade des Anglais NICE (A-M)\\n    *   Actions O: 32\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 29:**\\n    *   Number: 29\\n    *   Name: Mme SAVAEY M.L.\\n    *   Address: 5, Avenue Weber GENEVE (Suisse)\\n    *   Actions O: 10\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Row 30:**\\n    *   Number: 30\\n    *   Name: M. SCHERESCHWESKY Philippe\\n    *   Address: 34, Bd Marbeau PARIS (16\u00b0)\\n    *   Actions O: 1\\n    *   Actions P: (Empty)\\n    *   Signature: (Empty)\\n\\n*   **Footer Row (A REPORTER):**\\n    *   This is a total row.\\n    *   Number: (Empty)\\n    *   Name: A REPORTER\\n    *   Address: (Empty)\\n    *   Actions O (Ordinaires - Right Col): 933 (or 926). Let's look at the handwritten total again. \\\"2,554 - 933\\\". The dash suggests subtraction? No, it's likely separating the two totals. \\\"2,554\\\" and \\\"933\\\". The second number looks like 933. The middle digit is a 3. The last digit is a 3.\\n    *   Actions P (Priorit\u00e9 - Left Col): 2,554.\\n    *   Wait, the text at the bottom is \\\"2,554 - 933\\\".\\n    *   So Total P = 2554. Total O = 933.\\n    *   Total Voix: The column is empty. I will leave it empty or null. The schema requires a string. I'll use empty string.\\n\\n**Refining the \\\"Name and Address\\\" separation:**\\nThe prompt says: \\\"Name and Address are in the same table field. Your task is to extract them into separate fields. Lose any dashes between name and address but preserve linebreaks.\\\"\\nActually, looking at the image, Name and Address are on separate lines within the cell.\\nExample Row 21:\\nLine 1: M.de la FONTAINE Lionel\\nLine 2: Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\nSo Name = \\\"M.de la FONTAINE Lionel\\\", Address = \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\".\\nThe prompt says \\\"Lose any dashes between name and address\\\". This might refer to a visual separator if they were on the same line, but here they are on separate lines. I will just split by newline.\\n\\\"preserve linebreaks\\\" -> This probably applies if the address itself has linebreaks.\\nExample Row 23:\\nName: Suc.IHOEST Paul (Mme)\\nAddress: 1, rue J.B.Colyns IXELLES-BRUXELLES. (This is on two lines in the cell? No, looks like one line wrapped or two lines. \\\"1, rue J.B.Colyns IXELLES-\\\" then \\\"BRUXELLES.\\\" on next line. I should preserve the linebreak in the address if it exists.)\\nLet's look at Row 23 address: \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\"\\nRow 26 address: \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\"\\nRow 28 address: \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\"\\n\\n**Mapping `actions_o` and `actions_p`:**\\nSchema: `actions_o`, `actions_p`.\\nHeaders: \\\"de priorit\u00e9\\\" (Left), \\\"ordinaires\\\" (Right).\\nStandard convention: O = Ordinaires, P = Priorit\u00e9.\\nSo `actions_o` = Right Column. `actions_p` = Left Column.\\n\\n**Total Actions:**\\n`total_o`: Sum of `actions_o` column (Right). Value at bottom: 933.\\n`total_p`: Sum of `actions_p` column (Left). Value at bottom: 2,554.\\n`total_voix`: Column \\\"NOMBRE DE VOIX\\\" is empty. I will output empty string.\\n\\n**Signatures:**\\nRow 22: \\\"Aut. Pavi\\\" (or similar).\\nRow 24: \\\"Ant. Pavi\\\".\\nRow 25: \\\"Ant. Pavi\\\".\\n\\n**Let's check the bottom total text again.**\\n\\\"A REPORTER\\\"\\nBelow the columns: \\\"2,554 - 933\\\".\\nThe dash is likely a separator.\\nSo `total_p` = \\\"2,554\\\". `total_o` = \\\"933\\\".\\n\\n**Let's check Row 25 again.**\\nLeft column (Priorit\u00e9): There is a faint '1'.\\nRight column (Ordinaires): '10'.\\nSo `actions_p` = \\\"1\\\", `actions_o` = \\\"10\\\".\\n\\n**Let's check Row 21 again.**\\nRight column: '2'.\\nLeft column: Empty.\\n\\n**Let's check Row 23 again.**\\nLeft column: '150'.\\nRight column: Empty.\\n\\n**Let's check Row 28 again.**\\nRight column: '32'.\\n\\n**Let's check Row 30 again.**\\nRight column: '1'.\\n\\n**Final check on \\\"Lose any dashes between name and address\\\".**\\nIn Row 21, \\\"MARRAKECH-MEDINA\\\" has a dash. This is part of the address. Preserve it.\\nThe instruction likely means if there was a dash *separating* the name field from the address field (like \\\"Name - Address\\\"), remove it. Here they are on separate lines, so no separator dash to remove.\\n\\n**Constructing the JSON:**\\n\\nDocument: \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\"\\nPage: 3\\n\\nEntries:\\n1.  **21**:\\n    *   number: \\\"21\\\"\\n    *   name: \\\"M.de la FONTAINE Lionel\\\"\\n    *   address: \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\"\\n    *   actions_o: \\\"2\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n2.  **22**:\\n    *   number: \\\"22\\\"\\n    *   name: \\\"M.LAUMAIN Robert\\\"\\n    *   address: \\\"24 Avenue Gambetta MONTROUGE\\\"\\n    *   actions_o: \\\"1\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: true\\n    *   signature: \\\"Aut. Pavi\\\" (Looking really closely at crop 2, the first letter is A, second is u/n, third is t. \\\"Aut\\\" or \\\"Ant\\\". Given \\\"Ant\\\" in other rows, maybe it's \\\"Ant\\\" written fast. But the loop looks like a 'u'. I'll transcribe \\\"Aut. Pavi\\\" to be safe, or \\\"Ant. Pavi\\\" if I assume consistency. The prompt asks to extract. I see \\\"Aut\\\". Wait, looking at row 24, the 'n' is distinct. In row 22, it looks like a 'u'. I will write \\\"Aut. Pavi\\\".) Actually, looking at row 24 and 25, the signature is clearly \\\"Ant. Pavi\\\". Row 22 looks like \\\"Aut. Pavi\\\". I will stick to what I see.\\n\\n3.  **23**:\\n    *   number: \\\"23\\\"\\n    *   name: \\\"Suc.IHOEST Paul (Mme)\\\"\\n    *   address: \\\"1, rue J.B.Colyns IXELLES-BRUXELLES.\\\" (Note: \\\"IXELLES-\\\" is on one line, \\\"BRUXELLES.\\\" on next. I should preserve linebreak. \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\")\\n    *   actions_o: \\\"\\\"\\n    *   actions_p: \\\"150\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n4.  **24**:\\n    *   number: \\\"24\\\"\\n    *   name: \\\"M.MASSON Daniel\\\"\\n    *   address: \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: true\\n    *   signature: \\\"Ant. Pavi\\\"\\n\\n5.  **25**:\\n    *   number: \\\"25\\\"\\n    *   name: \\\"M. PANI Antonio\\\"\\n    *   address: \\\"SESSA (Tessin) Suisse\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"1\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: true\\n    *   signature: \\\"Ant. Pavi\\\"\\n\\n6.  **26**:\\n    *   number: \\\"26\\\"\\n    *   name: \\\"M. POUQUET Maurice\\\"\\n    *   address: \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\"\\n    *   actions_o: \\\"1\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n7.  **27**:\\n    *   number: \\\"27\\\"\\n    *   name: \\\"Mme RAOULT Suzanne\\\"\\n    *   address: \\\"195 rue de Grenelle PARIS\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n8.  **28**:\\n    *   number: \\\"28\\\"\\n    *   name: \\\"Suc.RICHOMME de POSSON (Mme)\\\"\\n    *   address: \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\"\\n    *   actions_o: \\\"32\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n9.  **29**:\\n    *   number: \\\"29\\\"\\n    *   name: \\\"Mme SAVAEY M.L.\\\"\\n    *   address: \\\"5, Avenue Weber GENEVE (Suisse)\\\"\\n    *   actions_o: \\\"10\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n10. **30**:\\n    *   number: \\\"30\\\"\\n    *   name: \\\"M. SCHERESCHWESKY Philippe\\\"\\n    *   address: \\\"34, Bd Marbeau PARIS (16\u00b0)\\\"\\n    *   actions_o: \\\"1\\\"\\n    *   actions_p: \\\"\\\"\\n    *   no_de_voix: \\\"\\\"\\n    *   signature_present: false\\n    *   signature: \\\"\\\"\\n\\n**Total Actions:**\\n*   total_o: \\\"933\\\" (Based on visual inspection of \\\"933\\\" and sum calculation 856+77=933).\\n*   total_p: \\\"2,554\\\"\\n*   total_voix: \\\"\\\"\\n\\nOne detail: Row 23 address. \\\"1, rue J.B.Colyns IXELLES-\\\" and \\\"BRUXELLES.\\\" are on separate lines.\\nOne detail: Row 26 address. \\\"Essendi\u00e8ras, par St M\u00e9dard\\\" and \\\"d'Excisuil (Dordogne)\\\" are on separate lines.\\nOne detail: Row 28 address. \\\"37bis Promenade des Anglais\\\" and \\\"NICE (A-M)\\\" are on separate lines.\\n\\nI need to make sure I handle the \\\"REPORT\\\" row. The schema asks for \\\"entries\\\". The \\\"REPORT\\\" row is technically an entry in the table structure, carrying over totals.\\nShould I include it?\\nThe prompt says \\\"extract the metadata\\\". Usually, this implies the data rows. The \\\"REPORT\\\" row is a summary of previous pages.\\nHowever, it is a row in the table.\\nLet's look at the \\\"entries\\\" definition. It has \\\"number\\\". The REPORT row has no number.\\nI will exclude the \\\"REPORT\\\" row from the `entries` list because it doesn't have a sequence number like the others (21-30). It's a header/carry-over.\\nWait, looking at the image, \\\"REPORT\\\" is written in the Name column.\\nIf I include it:\\nnumber: \\\"\\\"\\nname: \\\"REPORT\\\"\\naddress: \\\"\\\"\\nactions_o: \\\"856\\\"\\nactions_p: \\\"2403\\\"\\n...\\nThe prompt asks to extract entries. Usually, this means the numbered items. I will stick to items 21-30.\\n\\nWait, looking at the totals at the bottom \\\"A REPORTER\\\". This is the new total to be carried to the next page.\\nThe \\\"REPORT\\\" at the top is the total from the previous page.\\nI will extract rows 21 through 30.\\n\\nOne final check on signatures.\\nRow 22: \\\"Aut. Pavi\\\" vs \\\"Ant. Pavi\\\".\\nRow 24: \\\"Ant. Pavi\\\".\\nRow 25: \\\"Ant. Pavi\\\".\\nThe signature in 22 looks slightly different. The middle letter is very rounded, like a 'u'. \\\"Aut\\\".\\nThe signature in 24/25 has a sharper 'n'. \\\"Ant\\\".\\nI will transcribe \\\"Aut. Pavi\\\" for 22.\\n\\nOne final check on Row 25 actions.\\nLeft column (Priorit\u00e9): There is a vertical stroke. It aligns with the '1' in '150' above and '10' below (wait, 10 is in right column).\\nLet's look at the columns again.\\nRow 23: Left '150'.\\nRow 24: Right '10'.\\nRow 25: Left '1', Right '10'.\\nYes, Row 25 has entries in both columns.\\nLeft: 1. Right: 10.\\nSo `actions_p` = \\\"1\\\", `actions_o` = \\\"10\\\".\\n\\nOne final check on Row 21 actions.\\nRight column: '2'.\\nLeft column: Empty.\\n\\nOne final check on Row 26 actions.\\nRight column: '1'.\\nLeft column: Empty.\\n\\nOne final check on Row 30 actions.\\nRight column: '1'.\\nLeft column: Empty.\\n\\nOkay, I'm ready.\\n\\n```json\\n{\\n  \\\"document\\\": \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung1_page_3\\\",\\n  \\\"page_number\\\": 3,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"21\\\",\\n      \\\"name\\\": \\\"M.de la FONTAINE Lionel\\\",\\n      \\\"address\\\": \\\"Bo\u00eete postale 41 \u00e0 MARRAKECH-MEDINA\\\",\\n      \\\"actions_o\\\": \\\"2\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"22\\\",\\n      \\\"name\\\": \\\"M.LAUMAIN Robert\\\",\\n      \\\"address\\\": \\\"24 Avenue Gambetta MONTROUGE\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Aut. Pavi\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"23\\\",\\n      \\\"name\\\": \\\"Suc.IHOEST Paul (Mme)\\\",\\n      \\\"address\\\": \\\"1, rue J.B.Colyns IXELLES-\\\\nBRUXELLES.\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"150\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"24\\\",\\n      \\\"name\\\": \\\"M.MASSON Daniel\\\",\\n      \\\"address\\\": \\\"3, Av.Gaug\u00e9 VIROFLAY (S-et-O)\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Ant. Pavi\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"25\\\",\\n      \\\"name\\\": \\\"M. PANI Antonio\\\",\\n      \\\"address\\\": \\\"SESSA (Tessin) Suisse\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Ant. Pavi\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"26\\\",\\n      \\\"name\\\": \\\"M. POUQUET Maurice\\\",\\n      \\\"address\\\": \\\"Essendi\u00e8ras, par St M\u00e9dard\\\\nd'Excisuil (Dordogne)\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"27\\\",\\n      \\\"name\\\": \\\"Mme RAOULT Suzanne\\\",\\n      \\\"address\\\": \\\"195 rue de Grenelle PARIS\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"28\\\",\\n      \\\"name\\\": \\\"Suc.RICHOMME de POSSON (Mme)\\\",\\n      \\\"address\\\": \\\"37bis Promenade des Anglais\\\\nNICE (A-M)\\\",\\n      \\\"actions_o\\\": \\\"32\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"29\\\",\\n      \\\"name\\\": \\\"Mme SAVAEY M.L.\\\",\\n      \\\"address\\\": \\\"5, Avenue Weber GENEVE (Suisse)\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"30\\\",\\n      \\\"name\\\": \\\"M. SCHERESCHWESKY Philippe\\\",\\n      \\\"address\\\": \\\"34, Bd Marbeau PARIS (16\u00b0)\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"933\\\",\\n    \\\"total_p\\\": \\\"2,554\\\",\\n    \\\"total_voix\\\": \\\"\\\"\\n  }\\n}\\n```\\nWait, I should check the total_o value again.\\nThe handwritten number is \\\"2,554 - 933\\\" (or 926).\\nIf I sum the visible numbers:\\nRight column (Ordinaires):\\nReport: 856\\n21: 2\\n22: 1\\n24: 10\\n25: 10\\n26: 1\\n27: 10\\n28: 32\\n29: 10\\n30: 1\\nSum of new entries: 2+1+10+10+1+10+32+10+1 = 77.\\nTotal: 856 + 77 = 933.\\nSo \\\"933\\\" is the mathematically correct sum. The handwriting looks like 933 (the last 3 is just looped). I will use \\\"933\\\".\\n\\nOne small detail: \\\"M.de la FONTAINE Lionel\\\". There is a space after M. ? \\\"M.de\\\". It looks like \\\"M.de\\\". I will transcribe as seen.\\n\\\"M.LAUMAIN\\\". No space.\\n\\\"Suc.IHOEST\\\". No space.\\n\\\"M.MASSON\\\". No space.\\n\\\"M. PANI\\\". Space.\\n\\\"M. POUQUET\\\". Space.\\n\\\"Mme RAOULT\\\". Space.\\n\\\"Suc.RICHOMME\\\". No space.\\n\\\"Mme SAVAEY\\\". Space.\\n\\\"M. SCHERESCHWESKY\\\". Space.\\n\\nI will try to be faithful to the spacing in the image.\\nRow 21: \\\"M.de la FONTAINE Lionel\\\" -> Looks like \\\"M.de la\\\".\\nRow 22: \\\"M.LAUMAIN Robert\\\" -> Looks like \\\"M.LAUMAIN\\\".\\nRow 23: \\\"Suc.IHOEST Paul (Mme)\\\" -> Looks like \\\"Suc.IHOEST\\\".\\nRow 24: \\\"M.MASSON Daniel\\\" -> Looks like \\\"M.MASSON\\\".\\nRow 25: \\\"M. PANI Antonio\\\" -> Looks like \\\"M. PANI\\\".\\nRow 26: \\\"M. POUQUET Maurice\\\" -> Looks like \\\"M. POUQUET\\\".\\nRow 27: \\\"Mme RAOULT Suzanne\\\" -> Looks like \\\"Mme RAOULT\\\".\\nRow 28: \\\"Suc.RICHOMME de POSSON (Mme)\\\" -> Looks like \\\"Suc.RICHOMME\\\".\\nRow 29: \\\"Mme SAVAEY M.L.\\\" -> Looks like \\\"Mme SAVAEY\\\".\\nRow 30: \\\"M. SCHERESCHWESKY Philippe\\\" -> Looks like \\\"M. SCHERESCHWESKY\\\".\\n\\nThe prompt says \\\"Lose any dashes between name and address\\\".\\nIn row 23, \\\"IXELLES-BRUXELLES\\\" has a dash. This is inside the address.\\nIn row 24, \\\"(S-et-O)\\\" has dashes. Inside address.\\nIn row 28, \\\"(A-M)\\\" has a dash. Inside address.\\nThe instruction likely refers to a separator like \\\"Name - Address\\\". Since they are on new lines, there are no such dashes.\\n\\nFinal check on Row 25 signature.\\nIt looks like \\\"Ant. Pavi\\\". Same as row 24.\\nFinal check on Row 22 signature.\\nIt looks like \\\"Aut. Pavi\\\". The 'u' is quite distinct compared to the 'n' in row 24. I'll stick with \\\"Aut. Pavi\\\".\\n\\nOne detail: \\\"no_de_voix\\\". The column is \\\"NOMBRE DE VOIX\\\". It is empty for all rows.\\nThe totals row has \\\"total_voix\\\". I will leave it empty.\\n\\nOne detail: \\\"actions_o\\\" and \\\"actions_p\\\".\\nI've mapped:\\nactions_o (Ordinaires) -> Right Column.\\nactions_p (Priorit\u00e9) -> Left Column.\\nThis is consistent with \\\"o\\\" and \\\"p\\\" and the headers.\\n\\nOne detail: Row 23 address linebreak.\\n\\\"1, rue J.B.Colyns IXELLES-\\\"\\n\\\"BRUXELLES.\\\"\\nI will include the newline character.\\n\\nOne detail: Row 26 address linebreak.\\n\\\"Essendi\u00e8ras, par St M\u00e9dard\\\"\\n\\\"d'Excisuil (Dordogne)\\\"\\nI will include the newline character.\\n\\nOne detail: Row 28 address linebreak.\\n\\\"37bis Promenade des Anglais\\\"\\n\\\"NICE (A-M)\\\"\\nI will include the newline character.\\n\\nThe \\\"REPORT\\\" row at the top.\\nI will not include it in `entries` as it has no number and is a carry-over.\\nThe \\\"A REPORTER\\\" row at the bottom.\\nI will not include it in `entries`. I will use its values for `total_actions`.\\n\\nThe values for `total_actions`:\\ntotal_o: \\\"933\\\"\\ntotal_p: \\\"2,554\\\"\\ntotal_voix: \\\"\\\"\\n\\nLooks good.\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1783072121,\"model\":\"qwen/qwen3.6-plus-04-02\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":10205,\"prompt_tokens\":3122,\"total_tokens\":13327,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":9215,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.0209144,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.0209144,\"upstream_inference_prompt_cost\":0.00101465,\"upstream_inference_completions_cost\":0.01989975}},\"provider\":\"Alibaba\"}"}, "scoring": {"fuzzy": 0.8832671169865374, "cost_summary": {"total_input_tokens": 28004, "total_output_tokens": 59884, "total_tokens": 87888, "input_cost_usd": 0.009101300000000001, "output_cost_usd": 0.1167738, "total_cost_usd": 0.12587510000000002}}, "normalized_score": 88.32671169865374}, {"_id": {"$oid": "6a8456c1ef0a19c343227c33"}, "test_id": "T1238", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "mistral", "model": "ministral-8b-2512", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_1_Assemblee 28.12.1967_1_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"Monsieur BREHAM Alain\",\"address\":\"45, bd du Commandant Charcot\\nNEUILLY S/SEINE\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"2\",\"name\":\"Monsieur BREHAM Marc\",\"address\":\"La Tuilerie\\nSAINT NOM LA BRETECHE\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"3\",\"name\":\"Monsieur MASSON Daniel\",\"address\":\"Villa La Cava Avenue de La Cava\\n06 / CANNES\",\"actions_o\":\"10\",\"actions_p\":\"10\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"4\",\"name\":\"Compagnie Centrale SICLI\",\"address\":\"11 bis, rue Balzac\\nPARIS 8e\",\"actions_o\":\"168\",\"actions_p\":\"822\",\"no_de_voix\":\"990\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"5\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'Aurieras\",\"address\":\"11 bis, rue Balzac\\nPARIS 8e\",\"actions_o\":\"45\",\"actions_p\":\"355\",\"no_de_voix\":\"400\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Recherches-Mini\u00e8res Fran\u00e7aises\",\"address\":\"11 bis, rue Balzac\\nPARIS 8e\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"7\",\"name\":\"Monsieur PANI Antonio\",\"address\":\"SESSA - TESSIN\\nSUISSE\",\"actions_o\":\"10\",\"actions_p\":\"\",\"no_de_voix\":\"10\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"537\",\"total_p\":\"2307\",\"total_voix\":\"2798\"}}", "model": "ministral-8b-2512", "provider": "mistral", "finish_reason": "stop", "usage": {"input_tokens": 2996, "output_tokens": 705, "total_tokens": 3701, "input_cost_usd": 0.0004494, "output_cost_usd": 0.00010575, "estimated_cost_usd": 0.0005551499999999999}, "duration": 9.846028804779053, "timestamp": "2026-07-03T08:41:34.430081", "parsed": {"document": "Se_19_Assembl\u00e9e Mine d. 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Costano_1_Assemblee 28.12.1967_1_page_4\\\",\\n  \\\"page_number\\\": 4,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"1\\\",\\n      \\\"name\\\": \\\"Monsieur BREHAM Alain\\\",\\n      \\\"address\\\": \\\"45, bd du Commandant Charcot\\\\nNEUILLY S/SEINE\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"Monsieur BREHAM Marc\\\",\\n      \\\"address\\\": \\\"La Tuilerie\\\\nSAINT NOM LA BRETECHE\\\",\\n      \\\"actions_o\\\": \\\"179\\\",\\n      \\\"actions_p\\\": \\\"520\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"Monsieur MASSON Daniel\\\",\\n      \\\"address\\\": \\\"Villa La Cava Avenue de La Cava\\\\n06 / CANNES\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"Compagnie Centrale SICLI\\\",\\n      \\\"address\\\": \\\"11 bis, rue Balzac\\\\nPARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"168\\\",\\n      \\\"actions_p\\\": \\\"822\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des Mines de l'Aurieras\\\",\\n      \\\"address\\\": \\\"11 bis, rue Balzac\\\\nPARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"45\\\",\\n      \\\"actions_p\\\": \\\"355\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des Recherches-Mini\u00e8res Fran\u00e7aises\\\",\\n      \\\"address\\\": \\\"11 bis, rue Balzac\\\\nPARIS 8e\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Monsieur PANI Antonio\\\",\\n      \\\"address\\\": \\\"SESSA - TESSIN\\\\nSUISSE\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"537\\\",\\n    \\\"total_p\\\": \\\"2307\\\",\\n    \\\"total_voix\\\": \\\"2798\\\"\\n  }\\n}\",\"tool_calls\":null,\"prefix\":false},\"finish_reason\":\"stop\"}]}"}, "scoring": {"fuzzy": 0.7827480527992736, "cost_summary": {"total_input_tokens": 26372, "total_output_tokens": 7977, "total_tokens": 34349, "input_cost_usd": 0.0039558, "output_cost_usd": 0.0011965499999999998, "total_cost_usd": 0.005152349999999999}}, "normalized_score": 78.27480527992736}, {"_id": {"$oid": "6a8456c1ef0a19c343227c34"}, "test_id": "T1217", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "anthropic", "model": "claude-sonnet-4-6", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_18_Assembl\u00e9es_4_Bilanz1965_1_page_7\",\"page_number\":7,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Bd Charcot Neuilly s/Seine - France\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"A. Pani\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"La Tuilerie\\nSaint-Nom la Bret\u00e8che (78) France\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Ten. Peur\"},{\"number\":\"3\",\"name\":\"M. 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PANI' Antonio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"no_de_voix\\\": \\\"11\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"P\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"9\\\",\\n      \\\"name\\\": \\\"M. PANI' Teruzio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"P\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"10\\\",\\n      \\\"name\\\": \\\"M. SPIESS Giangirgio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"1\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"P\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"659\\\",\\n    \\\"total_p\\\": \\\"2310\\\",\\n    \\\"total_voix\\\": \\\"2969\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot\\nNeuilly s/seine (Seine)\",\"actions_o\":\"179\",\"actions_p\":\"520\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"P\"},{\"number\":\"2\",\"name\":\"M. 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MASSON Daniel\\\",\\n      \\\"address\\\": \\\"9 rue de l'Orange - Compi\u00e8gne (Oise)\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true\\n    ,\\n    \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\":  \\\"4\\\",\\n      \\\"name\\\": \\\"Cie Centrale de Mines et de M\u00e9tallurgie Sicli\\\",\\n      \\\"address\\\": \\\"M\u00eame rue Balzac, Paris (8\u00b0)\\\",\\n      \\\"actions_o\\\": \\\"222\\\",\\n      \\\"actions_p\\\": \\\"168\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true\\n    ,\\n    \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\":  \\\"5\\\",\\n      \\\"name\\\": \\\"M. 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MASSON Daniel\",\"address\":\"9 rue de l'Orangerie Compiegne (Oise)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"P.Pon\"},{\"number\":\"4\",\"name\":\"Cie Centrale de Mines et de M\u00e9tallurgie SICLI\",\"address\":\"11bis rue Balzac - Paris (8e)\",\"actions_o\":\"822\",\"actions_p\":\"168\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"P.Pon\"},{\"number\":\"5\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes - Paris XVIe\",\"actions_o\":\"80\",\"actions_p\":\"68\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"P.Pon\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'AURIERAS\",\"address\":\"11bis rue Balzac - Paris (8e)\",\"actions_o\":\"355\",\"actions_p\":\"45\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"P.Pon\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"11bis rue Balzac - Paris (8e)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"P.Pon\"},{\"number\":\"8\",\"name\":\"M. PANI Antonio\",\"address\":\"Sessa (Tessin)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"\"},{\"number\":\"\",\"name\":\"Pani d\u00e9l\u00e9. Terraso\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"\",\"name\":\"Pani Mayra\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"\",\"name\":\"Ali Beaudry\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"1297\",\"total_p\":\"672\",\"total_voix\":\"4\"}},\"reasoning\":\"The user wants me to extract metadata from a historical document image. The document appears to be a shareholder register (list of shareholders) from a meeting, likely a mining company assembly based on the filename \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\\".\\n\\n I need to extract:\\n 1. Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n 2. Page: 3\\n 3. The table data with columns:\\n    - N\u00b0 d'ordre (Order number)\\n    - NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name and Address of Shareholders)\\n    - ACTIONS (Shares) - with sub-columns \\\"Quotit\u00e9\\\" (Quantity) and \\\"Ordinaire\\\" (Ordinary)\\n    - NOMBRE DE VOIX (Number of votes)\\n    - SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature of Shareholders or Representatives)\\n\\n The user specifically asks to extract Name and Address from the same field into separate fields, removing dashes between them but preserving linebreaks, and preserving dashes within addresses.\\n\\n Let me analyze each row:\\n\\n Row 1:\\n - N\u00b0: 1\\n - Name: M. BREHAM Alain\\n - Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\n - Actions Quotit\u00e9: 520\\n - Actions Ordinaire: 179\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 2:\\n - N\u00b0: 2\\n - Name: M. BREHAM Marc\\n - Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine)\\n - Actions Quotit\u00e9: 520\\n - Actions Ordinaire: 179\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 3:\\n - N\u00b0: 3\\n - Name: M. MASSON Daniel\\n - Address: 9 rue de l'Orangerie Compiegne (Oise)\\n - Actions Quotit\u00e9: - (dash)\\n - Actions Ordinaire: 10\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 4:\\n - N\u00b0: 4\\n - Name: Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Actions Quotit\u00e9: 822\\n - Actions Ordinaire: 168\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 5:\\n - N\u00b0: 5\\n - Name: M. STRAP Pierre\\n - Address: 73, rue des Vignes - Paris XVIe\\n - Actions Quotit\u00e9: 80\\n - Actions Ordinaire: 68\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 6:\\n - N\u00b0: 6\\n - Name: Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Actions Quotit\u00e9: 355\\n - Actions Ordinaire: 45\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 7:\\n - N\u00b0: 7\\n - Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Actions Quotit\u00e9: - (dash)\\n - Actions Ordinaire: 10\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 8:\\n - N\u00b0: 8\\n - Name: M. PANI Antonio\\n - Address: Sessa (Tessin)\\n - Actions Quotit\u00e9: - (dash)\\n - Actions Ordinaire: 10\\n - Nombre de voix: (empty)\\n - Signature: (signature only, no P.Pon)\\n\\n Then there are some handwritten entries at the bottom without order numbers:\\n - \\\"Pani d\u00e9l\u00e9. Terraso\\\" or similar - looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - actually looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - hard to read, looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - actually looking closely: \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - the first word looks like \\\"Pani\\\" or \\\"Pans\\\", second word \\\"d\u00e9l\u00e9\\\" or \\\"d\u00e9l.\\\", third \\\"Terraso\\\" or \\\"Terraso\\\". Actually looking carefully: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - no, looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" - wait, it looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". Actually, looking at the handwriting, it might be \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". But given the context, it might be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" or similar. But I should transcribe what I see: \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". Actually, looking at the last line \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\" - looks like \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\".\\n\\n Wait, looking at the bottom:\\n - First handwritten line: \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - actually looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" - no, looking carefully: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - the first letter could be 'P', then 'a', 'n', 'i'. Then space. Then 'd', '\u00e9', 'l', '\u00e9', '.' Then 'T', 'e', 'r', 'r', 'a', 's', 'o'. Or it could be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" abbreviated.\\n - Second handwritten line: \\\"Pani Mayra\\\" or \\\"Pani Mayra\\\" - looks like \\\"Pani Mayra\\\"\\n - Third handwritten line: \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\" - looks like \\\"Ali Beaudry\\\"\\n\\n But these don't have order numbers, and the \\\"Nombre de voix\\\" column has \\\"1\\\" for each of these three entries.\\n\\n Actually, looking at the \\\"A REPORTER\\\" line at the bottom, and the red numbers \\\"1297\\\" and \\\"672\\\" (or similar), these seem to be totals.\\n\\n The user wants the output format. Since no specific format was given in the prompt (just \\\"according to the given output format\\\"), but the user says \\\"extract the metadata\\\", I should provide a structured extraction.\\n\\n Wait, the user says \\\"Please extract the metadata according to the given output format.\\\" but I don't see a specific output format provided in the prompt. However, looking at the context, I should extract the table data with Name and Address separated.\\n\\n Let me structure this as a table or structured data.\\n\\n Since the user mentions \\\"Name and Address are in the same table field. Your task is to extract them into separate fields\\\", I should provide for each row:\\n - Order number\\n - Name\\n - Address\\n - Actions Quotit\u00e9\\n - Actions Ordinaire\\n - Number of votes\\n - Signature\\n\\n And I should handle the bottom entries as well, though they don't have order numbers.\\n\\n Let me parse the text carefully:\\n\\n Row 1:\\n - N\u00b0: 1\\n - Name: M. BREHAM Alain\\n - Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\n - Quotit\u00e9: 520\\n - Ordinaire: 179\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 2:\\n - N\u00b0: 2\\n - Name: M. BREHAM Marc\\n - Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine)\\n - Quotit\u00e9: 520\\n - Ordinaire: 179\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 3:\\n - N\u00b0: 3\\n - Name: M. MASSON Daniel\\n - Address: 9 rue de l'Orangerie Compiegne (Oise)\\n - Quotit\u00e9: - (or empty)\\n - Ordinaire: 10\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 4:\\n - N\u00b0: 4\\n - Name: Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Quotit\u00e9: 822\\n - Ordinaire: 168\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 5:\\n - N\u00b0: 5\\n - Name: M. STRAP Pierre\\n - Address: 73, rue des Vignes - Paris XVIe\\n - Quotit\u00e9: 80\\n - Ordinaire: 68\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 6:\\n - N\u00b0: 6\\n - Name: Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Quotit\u00e9: 355\\n - Ordinaire: 45\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 7:\\n - N\u00b0: 7\\n - Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Quotit\u00e9: - (or empty)\\n - Ordinaire: 10\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 8:\\n - N\u00b0: 8\\n - Name: M. PANI Antonio\\n - Address: Sessa (Tessin)\\n - Quotit\u00e9: - (or empty)\\n - Ordinaire: 10\\n - Voix: (empty)\\n - Signature: [signature only]\\n\\n Then three entries without numbers:\\n - Name: Pani d\u00e9l\u00e9. Terraso (or Pani d\u00e9l. Terraso) - actually looking at the handwriting, it might be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". The second word looks like \\\"d\u00e9l\u00e9\\\" with an accent, or \\\"d\u00e9l.\\\". The third word looks like \\\"Terraso\\\".\\n - Address: (empty or not provided)\\n - Quotit\u00e9: (empty)\\n - Ordinaire: (empty)\\n - Voix: 1\\n - Signature: (empty)\\n\\n - Name: Pani Mayra\\n - Address: (empty)\\n - Quotit\u00e9: (empty)\\n - Ordinaire: (empty)\\n - Voix: 1\\n - Signature: (empty)\\n\\n - Name: Ali Beaudry (or Ali Beaudry)\\n - Address: (empty)\\n - Quotit\u00e9: (empty)\\n - Ordinaire: (empty)\\n - Voix: 1\\n - Signature: (empty)\\n\\n And at the bottom: \\\"A REPORTER\\\" with red numbers \\\"1297\\\" and \\\"672\\\" (or \\\"679\\\"?). The first looks like 1297, the second looks like 672 or 679.\\n\\n Now, for the output format, since the user didn't specify a particular format like JSON or CSV, but asked to extract metadata, I should provide a clear structured representation. I'll use a markdown table or structured list.\\n\\n Actually, looking at the instruction again: \\\"Please extract the metadata according to the given output format.\\\" This suggests there might have been a format specified earlier, but in this conversation, I don't see it. However, the user also says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n\\n So I'll provide the extracted data with Name and Address separated.\\n\\n For the addresses, I need to remove the dash between name and address, but preserve dashes within the address.\\n\\n Row 1: \\\"M. BREHAM Alain\\\" and \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"\\n Row 2: \\\"M. BREHAM Marc\\\" and \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\"\\n Row 3: \\\"M. MASSON Daniel\\\" and \\\"9 rue de l'Orangerie Compiegne (Oise)\\\"\\n Row 4: \\\"Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\\" and \\\"11bis rue Balzac - Paris (8e)\\\"\\n Row 5: \\\"M. STRAP Pierre\\\" and \\\"73, rue des Vignes - Paris XVIe\\\"\\n Row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\\" and \\\"11bis rue Balzac - Paris (8e)\\\"\\n Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" and \\\"11bis rue Balzac - Paris (8e)\\\"\\n Row 8: \\\"M. PANI Antonio\\\" and \\\"Sessa (Tessin)\\\"\\n\\n For the bottom entries, they appear to be names only without addresses.\\n\\n I should also note the \\\"P.Pon\\\" which appears to be \\\"Pour Procuration\\\" (by proxy) or similar abbreviation.\\n\\n Let me format this properly.\\n\\n Since the user mentions \\\"Filename\\\" and \\\"Page\\\", I should include those as metadata.\\n\\n Output structure:\\n - Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n - Page: 3\\n - Table data: [list of rows with separated name/address]\\n\\n Or I could provide it as a CSV-like structure or JSON.\\n\\n Given the historical nature, I'll provide a clear text representation with the separated fields.\\n\\n Let me double-check the handwriting for the bottom entries:\\n - First one: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - could be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". The handwriting is cursive. \\\"d\u00e9l\u00e9\\\" looks like it has an accent. \\\"Terraso\\\" is clear.\\n - Second one: \\\"Pani Mayra\\\" - looks like \\\"Pani Mayra\\\" or \\\"Pani Mayra\\\".\\n - Third one: \\\"Ali Beaudry\\\" - looks like \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\".\\n\\n Actually, looking at the context, these might be \\\"Pani d\u00e9l\u00e9gu\u00e9 Terraso\\\", \\\"Pani Mayra\\\", \\\"Ali Beaudry\\\" - possibly people representing others? But they have \\\"1\\\" vote each.\\n\\n Also, looking at row 8, the address is \\\"Sessa (Tessin)\\\" which is in Switzerland (Ticino/Tessin).\\n\\n For row 3, the address is \\\"9 rue de l'Orangerie Compiegne (Oise)\\\" - Compiegne is in Oise.\\n\\n For row 1 and 2, the addresses are in Neuilly-sur-Seine.\\n\\n For row 4, 6, 7, the address is \\\"11bis rue Balzac - Paris (8e)\\\" - this is the same address for three different entities, which makes sense as they might be related or it's the company headquarters.\\n\\n Now, for the \\\"Actions\\\" columns:\\n - Row 1: 520, 179\\n - Row 2: 520, 179\\n - Row 3: -, 10\\n - Row 4: 822, 168\\n - Row 5: 80, 68\\n - Row 6: 355, 45\\n - Row 7: -, 10\\n - Row 8: -, 10\\n\\n The \\\"Nombre de voix\\\" column is empty for rows 1-8, but has \\\"1\\\" for the three bottom entries.\\n\\n The red numbers at the bottom: \\\"1297\\\" and \\\"672\\\" (or 679). These look like totals. 1297 might be total shares (quotit\u00e9), and 672 might be total ordinary shares? Let's check:\\n 520+520+0+822+80+355+0+0 = 2297? No, that's not 1297.\\n 520+520 = 1040\\n 1040+822 = 1862\\n 1862+80 = 1942\\n 1942+355 = 2297\\n That's not 1297.\\n\\n Maybe 1297 is the sum of something else.\\n Or maybe I should ignore the totals as they're handwritten and not part of the main table.\\n\\n Actually, looking at the red writing, it might be \\\"2297\\\" not \\\"1297\\\". The first digit could be a '2'. And the second number could be \\\"672\\\" or \\\"679\\\".\\n\\n But I should focus on the printed/typed content.\\n\\n So my extraction will be:\\n\\n Metadata:\\n - Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n - Page: 3\\n\\n Shareholder List:\\n 1. Order: 1, Name: M. BREHAM Alain, Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine), Quotit\u00e9: 520, Ordinaire: 179, Voix: , Signature: P.Pon\\n 2. Order: 2, Name: M. BREHAM Marc, Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine), Quotit\u00e9: 520, Ordinaire: 179, Voix: , Signature: P.Pon\\n 3. Order: 3, Name: M. MASSON Daniel, Address: 9 rue de l'Orangerie Compiegne (Oise), Quotit\u00e9: -, Ordinaire: 10, Voix: , Signature: P.Pon\\n 4. Order: 4, Name: Cie Centrale de Mines et de M\u00e9tallurgie SICLI, Address: 11bis rue Balzac - Paris (8e), Quotit\u00e9: 822, Ordinaire: 168, Voix: , Signature: P.Pon\\n 5. Order: 5, Name: M. STRAP Pierre, Address: 73, rue des Vignes - Paris XVIe, Quotit\u00e9: 80, Ordinaire: 68, Voix: , Signature: P.Pon\\n 6. Order: 6, Name: Soci\u00e9t\u00e9 des Mines de l'AURIERAS, Address: 11bis rue Balzac - Paris (8e), Quotit\u00e9: 355, Ordinaire: 45, Voix: , Signature: P.Pon\\n 7. Order: 7, Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises, Address: 11bis rue Balzac - Paris (8e), Quotit\u00e9: -, Ordinaire: 10, Voix: , Signature: P.Pon\\n 8. Order: 8, Name: M. PANI Antonio, Address: Sessa (Tessin), Quotit\u00e9: -, Ordinaire: 10, Voix: , Signature: [signature]\\n 9. Name: Pani d\u00e9l\u00e9. Terraso, Address: , Quotit\u00e9: , Ordinaire: , Voix: 1, Signature: \\n 10. Name: Pani Mayra, Address: , Quotit\u00e9: , Ordinaire: , Voix: 1, Signature: \\n 11. Name: Ali Beaudry, Address: , Quotit\u00e9: , Ordinaire: , Voix: 1, Signature: \\n\\n Wait, looking at the image again, the bottom entries might have addresses that are not visible or are on the line below? No, looking at the layout, the bottom three entries only have names in the first column, and the address column appears empty for them, or the text is in the name column only.\\n\\n Actually, looking carefully at the image, the bottom three entries are written in the \\\"NOM, PR\u00c9NOMS ET DOMICILE\\\" column, but they seem to be only names, and they're aligned to the left. The address part might be missing or on the same line but I don't see it.\\n\\n Also, for row 8, \\\"Sessa (Tessin)\\\" is the address, and there's no street address, just the city.\\n\\n For row 3, \\\"9 rue de l'Orangerie Compiegne (Oise)\\\" - I see \\\"9 rue de l'Orangerie\\\" and then \\\"Compiegne (Oise)\\\" - is \\\"Compiegne\\\" part of the address or the city? It's likely \\\"9 rue de l'Orangerie, Compiegne (Oise)\\\".\\n\\n For row 1: \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"\\n For row 2: \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\"\\n\\n I should preserve the dashes within the addresses as requested.\\n\\n Now, about the output format. Since the user didn't specify JSON or CSV, but asked to extract metadata, I'll provide a structured text format that clearly separates the fields.\\n\\n I'll create a markdown table for the main data.\\n\\n Also, I should note that \\\"P.Pon\\\" likely stands for \\\"Par Procura\\\" or \\\"Pouvoir\\\" (by proxy), indicating these are signed by proxies.\\n\\n Let me verify the text in row 4: \\\"Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\\" - yes, that's what it says.\\n Row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\\" - yes.\\n Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" - yes.\\n\\n Row 5: \\\"M. STRAP Pierre\\\" - yes.\\n Row 8: \\\"M. PANI Antonio\\\" - yes.\\n\\n The handwriting at the bottom:\\n - First: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - could be \\\"Pani d\u00e9l\u00e9gu\u00e9 Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". Given the context of shareholders, this might be \\\"Pani d\u00e9l\u00e9gu\u00e9\\\" meaning \\\"Pani proxy\\\" and \\\"Terraso\\\" is the name? Or \\\"Pani\\\" is the name and \\\"d\u00e9l\u00e9. Terraso\\\" is something else? Actually, looking at the spacing, it might be two names: \\\"Pani d\u00e9l\u00e9\\\" and \\\"Terraso\\\"? No, that doesn't make sense. It might be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" where Terraso is the proxy? But then why is it in the shareholder list?\\n - Actually, looking at the column alignment, these three entries at the bottom are in the first column (Name), and they might be additional shareholders not numbered, or they might be notes. But they have \\\"1\\\" in the \\\"Nombre de voix\\\" column, so they are likely shareholders with 1 vote each.\\n\\n Given the difficulty in reading the handwriting, I'll transcribe as best as I can:\\n - \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\"\\n - \\\"Pani Mayra\\\"\\n - \\\"Ali Beaudry\\\"\\n\\n Actually, looking at the last one, it could be \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\". The first name is definitely \\\"Ali\\\". The last name looks like \\\"Beaudry\\\" or \\\"Beaudry\\\".\\n\\n For the first one, looking carefully: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - the first word is \\\"Pani\\\", second is \\\"d\u00e9l\u00e9\\\" with an accent, then a period, then \\\"Terraso\\\".\\n\\n But I should provide the extraction as accurately as possible.\\n\\n Final check on the filename: \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\\"\\n This appears to be: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n Or possibly: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n\\n The \\\"d. Costano\\\" might be \\\"de Costano\\\" or \\\"d'Costano\\\".\\n\\n Page: 3\\n\\n I'll provide the extraction now.\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract metadata from a historical document image. The document appears to be a shareholder register (list of shareholders) from a meeting, likely a mining company assembly based on the filename \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\\".\\n\\n I need to extract:\\n 1. Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n 2. Page: 3\\n 3. The table data with columns:\\n    - N\u00b0 d'ordre (Order number)\\n    - NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name and Address of Shareholders)\\n    - ACTIONS (Shares) - with sub-columns \\\"Quotit\u00e9\\\" (Quantity) and \\\"Ordinaire\\\" (Ordinary)\\n    - NOMBRE DE VOIX (Number of votes)\\n    - SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature of Shareholders or Representatives)\\n\\n The user specifically asks to extract Name and Address from the same field into separate fields, removing dashes between them but preserving linebreaks, and preserving dashes within addresses.\\n\\n Let me analyze each row:\\n\\n Row 1:\\n - N\u00b0: 1\\n - Name: M. BREHAM Alain\\n - Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\n - Actions Quotit\u00e9: 520\\n - Actions Ordinaire: 179\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 2:\\n - N\u00b0: 2\\n - Name: M. BREHAM Marc\\n - Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine)\\n - Actions Quotit\u00e9: 520\\n - Actions Ordinaire: 179\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 3:\\n - N\u00b0: 3\\n - Name: M. MASSON Daniel\\n - Address: 9 rue de l'Orangerie Compiegne (Oise)\\n - Actions Quotit\u00e9: - (dash)\\n - Actions Ordinaire: 10\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 4:\\n - N\u00b0: 4\\n - Name: Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Actions Quotit\u00e9: 822\\n - Actions Ordinaire: 168\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 5:\\n - N\u00b0: 5\\n - Name: M. STRAP Pierre\\n - Address: 73, rue des Vignes - Paris XVIe\\n - Actions Quotit\u00e9: 80\\n - Actions Ordinaire: 68\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 6:\\n - N\u00b0: 6\\n - Name: Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Actions Quotit\u00e9: 355\\n - Actions Ordinaire: 45\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 7:\\n - N\u00b0: 7\\n - Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Actions Quotit\u00e9: - (dash)\\n - Actions Ordinaire: 10\\n - Nombre de voix: (empty)\\n - Signature: P.Pon + signature\\n\\n Row 8:\\n - N\u00b0: 8\\n - Name: M. PANI Antonio\\n - Address: Sessa (Tessin)\\n - Actions Quotit\u00e9: - (dash)\\n - Actions Ordinaire: 10\\n - Nombre de voix: (empty)\\n - Signature: (signature only, no P.Pon)\\n\\n Then there are some handwritten entries at the bottom without order numbers:\\n - \\\"Pani d\u00e9l\u00e9. Terraso\\\" or similar - looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - actually looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - hard to read, looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - actually looking closely: \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - the first word looks like \\\"Pani\\\" or \\\"Pans\\\", second word \\\"d\u00e9l\u00e9\\\" or \\\"d\u00e9l.\\\", third \\\"Terraso\\\" or \\\"Terraso\\\". Actually looking carefully: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - no, looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" - wait, it looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". Actually, looking at the handwriting, it might be \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". But given the context, it might be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" or similar. But I should transcribe what I see: \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". Actually, looking at the last line \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\" - looks like \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\".\\n\\n Wait, looking at the bottom:\\n - First handwritten line: \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\" - actually looks like \\\"Pani d\u00e9l\u00e9. Terraso\\\" - no, looking carefully: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - the first letter could be 'P', then 'a', 'n', 'i'. Then space. Then 'd', '\u00e9', 'l', '\u00e9', '.' Then 'T', 'e', 'r', 'r', 'a', 's', 'o'. Or it could be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" abbreviated.\\n - Second handwritten line: \\\"Pani Mayra\\\" or \\\"Pani Mayra\\\" - looks like \\\"Pani Mayra\\\"\\n - Third handwritten line: \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\" - looks like \\\"Ali Beaudry\\\"\\n\\n But these don't have order numbers, and the \\\"Nombre de voix\\\" column has \\\"1\\\" for each of these three entries.\\n\\n Actually, looking at the \\\"A REPORTER\\\" line at the bottom, and the red numbers \\\"1297\\\" and \\\"672\\\" (or similar), these seem to be totals.\\n\\n The user wants the output format. Since no specific format was given in the prompt (just \\\"according to the given output format\\\"), but the user says \\\"extract the metadata\\\", I should provide a structured extraction.\\n\\n Wait, the user says \\\"Please extract the metadata according to the given output format.\\\" but I don't see a specific output format provided in the prompt. However, looking at the context, I should extract the table data with Name and Address separated.\\n\\n Let me structure this as a table or structured data.\\n\\n Since the user mentions \\\"Name and Address are in the same table field. Your task is to extract them into separate fields\\\", I should provide for each row:\\n - Order number\\n - Name\\n - Address\\n - Actions Quotit\u00e9\\n - Actions Ordinaire\\n - Number of votes\\n - Signature\\n\\n And I should handle the bottom entries as well, though they don't have order numbers.\\n\\n Let me parse the text carefully:\\n\\n Row 1:\\n - N\u00b0: 1\\n - Name: M. BREHAM Alain\\n - Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\n - Quotit\u00e9: 520\\n - Ordinaire: 179\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 2:\\n - N\u00b0: 2\\n - Name: M. BREHAM Marc\\n - Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine)\\n - Quotit\u00e9: 520\\n - Ordinaire: 179\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 3:\\n - N\u00b0: 3\\n - Name: M. MASSON Daniel\\n - Address: 9 rue de l'Orangerie Compiegne (Oise)\\n - Quotit\u00e9: - (or empty)\\n - Ordinaire: 10\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 4:\\n - N\u00b0: 4\\n - Name: Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Quotit\u00e9: 822\\n - Ordinaire: 168\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 5:\\n - N\u00b0: 5\\n - Name: M. STRAP Pierre\\n - Address: 73, rue des Vignes - Paris XVIe\\n - Quotit\u00e9: 80\\n - Ordinaire: 68\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 6:\\n - N\u00b0: 6\\n - Name: Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Quotit\u00e9: 355\\n - Ordinaire: 45\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 7:\\n - N\u00b0: 7\\n - Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n - Address: 11bis rue Balzac - Paris (8e)\\n - Quotit\u00e9: - (or empty)\\n - Ordinaire: 10\\n - Voix: (empty)\\n - Signature: P.Pon [signature]\\n\\n Row 8:\\n - N\u00b0: 8\\n - Name: M. PANI Antonio\\n - Address: Sessa (Tessin)\\n - Quotit\u00e9: - (or empty)\\n - Ordinaire: 10\\n - Voix: (empty)\\n - Signature: [signature only]\\n\\n Then three entries without numbers:\\n - Name: Pani d\u00e9l\u00e9. Terraso (or Pani d\u00e9l. Terraso) - actually looking at the handwriting, it might be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". The second word looks like \\\"d\u00e9l\u00e9\\\" with an accent, or \\\"d\u00e9l.\\\". The third word looks like \\\"Terraso\\\".\\n - Address: (empty or not provided)\\n - Quotit\u00e9: (empty)\\n - Ordinaire: (empty)\\n - Voix: 1\\n - Signature: (empty)\\n\\n - Name: Pani Mayra\\n - Address: (empty)\\n - Quotit\u00e9: (empty)\\n - Ordinaire: (empty)\\n - Voix: 1\\n - Signature: (empty)\\n\\n - Name: Ali Beaudry (or Ali Beaudry)\\n - Address: (empty)\\n - Quotit\u00e9: (empty)\\n - Ordinaire: (empty)\\n - Voix: 1\\n - Signature: (empty)\\n\\n And at the bottom: \\\"A REPORTER\\\" with red numbers \\\"1297\\\" and \\\"672\\\" (or \\\"679\\\"?). The first looks like 1297, the second looks like 672 or 679.\\n\\n Now, for the output format, since the user didn't specify a particular format like JSON or CSV, but asked to extract metadata, I should provide a clear structured representation. I'll use a markdown table or structured list.\\n\\n Actually, looking at the instruction again: \\\"Please extract the metadata according to the given output format.\\\" This suggests there might have been a format specified earlier, but in this conversation, I don't see it. However, the user also says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n\\n So I'll provide the extracted data with Name and Address separated.\\n\\n For the addresses, I need to remove the dash between name and address, but preserve dashes within the address.\\n\\n Row 1: \\\"M. BREHAM Alain\\\" and \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"\\n Row 2: \\\"M. BREHAM Marc\\\" and \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\"\\n Row 3: \\\"M. MASSON Daniel\\\" and \\\"9 rue de l'Orangerie Compiegne (Oise)\\\"\\n Row 4: \\\"Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\\" and \\\"11bis rue Balzac - Paris (8e)\\\"\\n Row 5: \\\"M. STRAP Pierre\\\" and \\\"73, rue des Vignes - Paris XVIe\\\"\\n Row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\\" and \\\"11bis rue Balzac - Paris (8e)\\\"\\n Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" and \\\"11bis rue Balzac - Paris (8e)\\\"\\n Row 8: \\\"M. PANI Antonio\\\" and \\\"Sessa (Tessin)\\\"\\n\\n For the bottom entries, they appear to be names only without addresses.\\n\\n I should also note the \\\"P.Pon\\\" which appears to be \\\"Pour Procuration\\\" (by proxy) or similar abbreviation.\\n\\n Let me format this properly.\\n\\n Since the user mentions \\\"Filename\\\" and \\\"Page\\\", I should include those as metadata.\\n\\n Output structure:\\n - Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n - Page: 3\\n - Table data: [list of rows with separated name/address]\\n\\n Or I could provide it as a CSV-like structure or JSON.\\n\\n Given the historical nature, I'll provide a clear text representation with the separated fields.\\n\\n Let me double-check the handwriting for the bottom entries:\\n - First one: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - could be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". The handwriting is cursive. \\\"d\u00e9l\u00e9\\\" looks like it has an accent. \\\"Terraso\\\" is clear.\\n - Second one: \\\"Pani Mayra\\\" - looks like \\\"Pani Mayra\\\" or \\\"Pani Mayra\\\".\\n - Third one: \\\"Ali Beaudry\\\" - looks like \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\".\\n\\n Actually, looking at the context, these might be \\\"Pani d\u00e9l\u00e9gu\u00e9 Terraso\\\", \\\"Pani Mayra\\\", \\\"Ali Beaudry\\\" - possibly people representing others? But they have \\\"1\\\" vote each.\\n\\n Also, looking at row 8, the address is \\\"Sessa (Tessin)\\\" which is in Switzerland (Ticino/Tessin).\\n\\n For row 3, the address is \\\"9 rue de l'Orangerie Compiegne (Oise)\\\" - Compiegne is in Oise.\\n\\n For row 1 and 2, the addresses are in Neuilly-sur-Seine.\\n\\n For row 4, 6, 7, the address is \\\"11bis rue Balzac - Paris (8e)\\\" - this is the same address for three different entities, which makes sense as they might be related or it's the company headquarters.\\n\\n Now, for the \\\"Actions\\\" columns:\\n - Row 1: 520, 179\\n - Row 2: 520, 179\\n - Row 3: -, 10\\n - Row 4: 822, 168\\n - Row 5: 80, 68\\n - Row 6: 355, 45\\n - Row 7: -, 10\\n - Row 8: -, 10\\n\\n The \\\"Nombre de voix\\\" column is empty for rows 1-8, but has \\\"1\\\" for the three bottom entries.\\n\\n The red numbers at the bottom: \\\"1297\\\" and \\\"672\\\" (or 679). These look like totals. 1297 might be total shares (quotit\u00e9), and 672 might be total ordinary shares? Let's check:\\n 520+520+0+822+80+355+0+0 = 2297? No, that's not 1297.\\n 520+520 = 1040\\n 1040+822 = 1862\\n 1862+80 = 1942\\n 1942+355 = 2297\\n That's not 1297.\\n\\n Maybe 1297 is the sum of something else.\\n Or maybe I should ignore the totals as they're handwritten and not part of the main table.\\n\\n Actually, looking at the red writing, it might be \\\"2297\\\" not \\\"1297\\\". The first digit could be a '2'. And the second number could be \\\"672\\\" or \\\"679\\\".\\n\\n But I should focus on the printed/typed content.\\n\\n So my extraction will be:\\n\\n Metadata:\\n - Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n - Page: 3\\n\\n Shareholder List:\\n 1. Order: 1, Name: M. BREHAM Alain, Address: 45 Boulevard Charcot - Neuilly-sur-Seine (Seine), Quotit\u00e9: 520, Ordinaire: 179, Voix: , Signature: P.Pon\\n 2. Order: 2, Name: M. BREHAM Marc, Address: 16, rue Saint Pierre - Neuilly sur Seine (Seine), Quotit\u00e9: 520, Ordinaire: 179, Voix: , Signature: P.Pon\\n 3. Order: 3, Name: M. MASSON Daniel, Address: 9 rue de l'Orangerie Compiegne (Oise), Quotit\u00e9: -, Ordinaire: 10, Voix: , Signature: P.Pon\\n 4. Order: 4, Name: Cie Centrale de Mines et de M\u00e9tallurgie SICLI, Address: 11bis rue Balzac - Paris (8e), Quotit\u00e9: 822, Ordinaire: 168, Voix: , Signature: P.Pon\\n 5. Order: 5, Name: M. STRAP Pierre, Address: 73, rue des Vignes - Paris XVIe, Quotit\u00e9: 80, Ordinaire: 68, Voix: , Signature: P.Pon\\n 6. Order: 6, Name: Soci\u00e9t\u00e9 des Mines de l'AURIERAS, Address: 11bis rue Balzac - Paris (8e), Quotit\u00e9: 355, Ordinaire: 45, Voix: , Signature: P.Pon\\n 7. Order: 7, Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises, Address: 11bis rue Balzac - Paris (8e), Quotit\u00e9: -, Ordinaire: 10, Voix: , Signature: P.Pon\\n 8. Order: 8, Name: M. PANI Antonio, Address: Sessa (Tessin), Quotit\u00e9: -, Ordinaire: 10, Voix: , Signature: [signature]\\n 9. Name: Pani d\u00e9l\u00e9. Terraso, Address: , Quotit\u00e9: , Ordinaire: , Voix: 1, Signature: \\n 10. Name: Pani Mayra, Address: , Quotit\u00e9: , Ordinaire: , Voix: 1, Signature: \\n 11. Name: Ali Beaudry, Address: , Quotit\u00e9: , Ordinaire: , Voix: 1, Signature: \\n\\n Wait, looking at the image again, the bottom entries might have addresses that are not visible or are on the line below? No, looking at the layout, the bottom three entries only have names in the first column, and the address column appears empty for them, or the text is in the name column only.\\n\\n Actually, looking carefully at the image, the bottom three entries are written in the \\\"NOM, PR\u00c9NOMS ET DOMICILE\\\" column, but they seem to be only names, and they're aligned to the left. The address part might be missing or on the same line but I don't see it.\\n\\n Also, for row 8, \\\"Sessa (Tessin)\\\" is the address, and there's no street address, just the city.\\n\\n For row 3, \\\"9 rue de l'Orangerie Compiegne (Oise)\\\" - I see \\\"9 rue de l'Orangerie\\\" and then \\\"Compiegne (Oise)\\\" - is \\\"Compiegne\\\" part of the address or the city? It's likely \\\"9 rue de l'Orangerie, Compiegne (Oise)\\\".\\n\\n For row 1: \\\"45 Boulevard Charcot - Neuilly-sur-Seine (Seine)\\\"\\n For row 2: \\\"16, rue Saint Pierre - Neuilly sur Seine (Seine)\\\"\\n\\n I should preserve the dashes within the addresses as requested.\\n\\n Now, about the output format. Since the user didn't specify JSON or CSV, but asked to extract metadata, I'll provide a structured text format that clearly separates the fields.\\n\\n I'll create a markdown table for the main data.\\n\\n Also, I should note that \\\"P.Pon\\\" likely stands for \\\"Par Procura\\\" or \\\"Pouvoir\\\" (by proxy), indicating these are signed by proxies.\\n\\n Let me verify the text in row 4: \\\"Cie Centrale de Mines et de M\u00e9tallurgie SICLI\\\" - yes, that's what it says.\\n Row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'AURIERAS\\\" - yes.\\n Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" - yes.\\n\\n Row 5: \\\"M. STRAP Pierre\\\" - yes.\\n Row 8: \\\"M. PANI Antonio\\\" - yes.\\n\\n The handwriting at the bottom:\\n - First: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - could be \\\"Pani d\u00e9l\u00e9gu\u00e9 Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\". Given the context of shareholders, this might be \\\"Pani d\u00e9l\u00e9gu\u00e9\\\" meaning \\\"Pani proxy\\\" and \\\"Terraso\\\" is the name? Or \\\"Pani\\\" is the name and \\\"d\u00e9l\u00e9. Terraso\\\" is something else? Actually, looking at the spacing, it might be two names: \\\"Pani d\u00e9l\u00e9\\\" and \\\"Terraso\\\"? No, that doesn't make sense. It might be \\\"Pani d\u00e9l\u00e9gu\u00e9. Terraso\\\" where Terraso is the proxy? But then why is it in the shareholder list?\\n - Actually, looking at the column alignment, these three entries at the bottom are in the first column (Name), and they might be additional shareholders not numbered, or they might be notes. But they have \\\"1\\\" in the \\\"Nombre de voix\\\" column, so they are likely shareholders with 1 vote each.\\n\\n Given the difficulty in reading the handwriting, I'll transcribe as best as I can:\\n - \\\"Pani d\u00e9l\u00e9. Terraso\\\" or \\\"Pani d\u00e9l. Terraso\\\"\\n - \\\"Pani Mayra\\\"\\n - \\\"Ali Beaudry\\\"\\n\\n Actually, looking at the last one, it could be \\\"Ali Beaudry\\\" or \\\"Ali Beaudry\\\". The first name is definitely \\\"Ali\\\". The last name looks like \\\"Beaudry\\\" or \\\"Beaudry\\\".\\n\\n For the first one, looking carefully: \\\"Pani d\u00e9l\u00e9. Terraso\\\" - the first word is \\\"Pani\\\", second is \\\"d\u00e9l\u00e9\\\" with an accent, then a period, then \\\"Terraso\\\".\\n\\n But I should provide the extraction as accurately as possible.\\n\\n Final check on the filename: \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\\"\\n This appears to be: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n Or possibly: Se_19_Assembl\u00e9e Mine d. Costano_2.3_27.12.1961.pdf_page_3\\n\\n The \\\"d. Costano\\\" might be \\\"de Costano\\\" or \\\"d'Costano\\\".\\n\\n Page: 3\\n\\n I'll provide the extraction now.\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1783072131,\"model\":\"stepfun/step-3.7-flash-20260528\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":6132,\"prompt_tokens\":1305,\"total_tokens\":7437,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":0,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.0073128,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.0073128,\"upstream_inference_prompt_cost\":0.000261,\"upstream_inference_completions_cost\":0.0070518}},\"provider\":\"StepFun\"}"}, "scoring": {"fuzzy": 0.7810489370696216, "cost_summary": {"total_input_tokens": 12021, "total_output_tokens": 59717, "total_tokens": 71738, "input_cost_usd": 0.0024042000000000004, "output_cost_usd": 0.06867454999999999, "total_cost_usd": 0.07107875000000001}}, "normalized_score": 78.10489370696216}, {"_id": {"$oid": "6a8456c1ef0a19c343227c40"}, "test_id": "T1274", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "x-ai", "model": "grok-4.20-0309-reasoning", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\",\"page_number\":20,\"entries\":[{\"number\":\"31\",\"name\":\"M. SIRCOUION Jacques\",\"address\":\"Mesli\u00e8res (Doubs)\",\"actions_o\":\"\",\"actions_p\":\"\",\"no_de_voix\":\"11\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"32\",\"name\":\"St\u00e9 Anonyme des Mines d'OR du CHATELET\",\"address\":\"11bis rue Balzac\\nPARIS (8\u00b0)\",\"actions_o\":\"45\",\"actions_p\":\"365\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"J. feer\"},{\"number\":\"33\",\"name\":\"M. STRAP Gaston\",\"address\":\"112 Bd Exelmans PARIS (16\u00b0)\",\"actions_o\":\"64\",\"actions_p\":\"50\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"J. feer\"},{\"number\":\"34\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes PARIS (16\u00b0)\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Paul\"},{\"number\":\"35\",\"name\":\"Mme WARNANT Pierre\",\"address\":\"148 Av. Franklin Roosevelt\\nBRUXELLES (Belgique)\",\"actions_o\":\"\",\"actions_p\":\"900\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"36\",\"name\":\"de ZANNA Arcangelo\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"934\",\"total_p\":\"2554\",\"total_voix\":\"\"}}", "model": "grok-4.20-0309-reasoning", "provider": "x-ai", "finish_reason": "stop", "usage": {"input_tokens": 3019, "output_tokens": 532, "total_tokens": 8945, "cached_tokens": 64, "input_cost_usd": 0.006038, "output_cost_usd": 0.0031920000000000004, "estimated_cost_usd": 0.00923}, "duration": 28.992124557495117, "timestamp": "2026-07-03T11:14:25.566683", "parsed": {"document": "Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20", "page_number": 20, "entries": [{"number": "31", "name": "M. SIRCOUION Jacques", "address": "Mesli\u00e8res (Doubs)", "actions_o": "", "actions_p": "", "no_de_voix": "11", "signature_present": false, "signature": ""}, {"number": "32", "name": "St\u00e9 Anonyme des Mines d'OR du CHATELET", "address": "11bis rue Balzac\nPARIS (8\u00b0)", "actions_o": "45", "actions_p": "365", "no_de_voix": "", "signature_present": true, "signature": "J. feer"}, {"number": "33", "name": "M. STRAP Gaston", "address": "112 Bd Exelmans PARIS (16\u00b0)", "actions_o": "64", "actions_p": "50", "no_de_voix": "", "signature_present": true, "signature": "J. feer"}, {"number": "34", "name": "M. STRAP Pierre", "address": "73, rue des Vignes PARIS (16\u00b0)", "actions_o": "1", "actions_p": "", "no_de_voix": "", "signature_present": true, "signature": "Aut. Paul"}, {"number": "35", "name": "Mme WARNANT Pierre", "address": "148 Av. Franklin Roosevelt\nBRUXELLES (Belgique)", "actions_o": "", "actions_p": "900", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "36", "name": "de ZANNA Arcangelo", "address": "", "actions_o": "1", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}], "total_actions": {"total_o": "934", "total_p": "2554", "total_voix": ""}}, "conversation_id": "4a47d43e-804e-4b8f-b7bf-0beb00b6cb06", "score": {"fuzzy": 0.7613851903113092}, "raw_response": "{\"id\":\"334eea8b-6662-921e-8267-204e7b740066\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"document\\\": \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\\\",\\n  \\\"page_number\\\": 20,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"31\\\",\\n      \\\"name\\\": \\\"M. SIRCOUION Jacques\\\",\\n      \\\"address\\\": \\\"Mesli\u00e8res (Doubs)\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"11\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"32\\\",\\n      \\\"name\\\": \\\"St\u00e9 Anonyme des Mines d'OR du CHATELET\\\",\\n      \\\"address\\\": \\\"11bis rue Balzac\\\\nPARIS (8\u00b0)\\\",\\n      \\\"actions_o\\\": \\\"45\\\",\\n      \\\"actions_p\\\": \\\"365\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"J. feer\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"33\\\",\\n      \\\"name\\\": \\\"M. STRAP Gaston\\\",\\n      \\\"address\\\": \\\"112 Bd Exelmans PARIS (16\u00b0)\\\",\\n      \\\"actions_o\\\": \\\"64\\\",\\n      \\\"actions_p\\\": \\\"50\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"J. feer\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"34\\\",\\n      \\\"name\\\": \\\"M. STRAP Pierre\\\",\\n      \\\"address\\\": \\\"73, rue des Vignes PARIS (16\u00b0)\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": true,\\n      \\\"signature\\\": \\\"Aut. Paul\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"35\\\",\\n      \\\"name\\\": \\\"Mme WARNANT Pierre\\\",\\n      \\\"address\\\": \\\"148 Av. Franklin Roosevelt\\\\nBRUXELLES (Belgique)\\\",\\n      \\\"actions_o\\\": \\\"\\\",\\n      \\\"actions_p\\\": \\\"900\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"36\\\",\\n      \\\"name\\\": \\\"de ZANNA Arcangelo\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"934\\\",\\n    \\\"total_p\\\": \\\"2554\\\",\\n    \\\"total_voix\\\": \\\"\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\",\"page_number\":20,\"entries\":[{\"number\":\"31\",\"name\":\"M. SIRCOUION Jacques\",\"address\":\"Mesli\u00e8res (Doubs)\",\"actions_o\":\"\",\"actions_p\":\"\",\"no_de_voix\":\"11\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"32\",\"name\":\"St\u00e9 Anonyme des Mines d'OR du CHATELET\",\"address\":\"11bis rue Balzac\\nPARIS (8\u00b0)\",\"actions_o\":\"45\",\"actions_p\":\"365\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"J. feer\"},{\"number\":\"33\",\"name\":\"M. STRAP Gaston\",\"address\":\"112 Bd Exelmans PARIS (16\u00b0)\",\"actions_o\":\"64\",\"actions_p\":\"50\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"J. feer\"},{\"number\":\"34\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes PARIS (16\u00b0)\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Aut. Paul\"},{\"number\":\"35\",\"name\":\"Mme WARNANT Pierre\",\"address\":\"148 Av. Franklin Roosevelt\\nBRUXELLES (Belgique)\",\"actions_o\":\"\",\"actions_p\":\"900\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"36\",\"name\":\"de ZANNA Arcangelo\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"934\",\"total_p\":\"2554\",\"total_voix\":\"\"}},\"reasoning_content\":\"The task is to extract metadata from the image of the meeting minutes according to the given JSON schema.\\nFirst, the output format is a JSON object with:\\n\\n- document: the filename, which is \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\\\"\\n\\n- page_number: 20\\n\\n- entries: array of Entry objects, each with:\\n\\n  - number: string (like 31, 32)\\n\\n  - name: string\\n\\n  - address: string\\n\\n  - actions_o: string (for ordinaires?)\\n\\n  - actions_p: string (for priorit\u00e9?)\\n\\n  - voix: string (nombre de voix)\\n\\n  - signature: string\\n\\n- total_actions: a TotalActions object, probably 2554 and 934 or something.\\n\\nThe schema isn't fully given, but from context: total_actions with totals for p and o probably.\\n\\nI need to extract all entries from the image description.\\n\\nFrom the transcription attempt:\\n\\nEntry 31:\\n\\nnumber: 31\\n\\nname: M. SIRCOUION Jacques\\n\\naddress : Mesli\u00e8res (Doubs)\\n\\nactions_p: (empty)\\n\\nactions_o: (empty)\\n\\nvoix: 11\\n\\nsignature: (empty)\\n\\nEntry 32:\\n\\nnumber: 32\\n\\nname: St\u00e9 Anonyme des Mines d'OR du CHATELET\\n\\naddress: 11bis rue Balzac PARIS (8\u00b0)\\n\\nactions_p: 365\\n\\nactions_o: 45\\n\\nvoix: (empty)\\n\\nsignature: J. feer (with line)\\n\\nEntry 33:\\n\\nnumber: 33\\n\\nname: M. STRAP Gaston\\n\\naddress: 112 Bd Exelmans PARIS (16\u00b0 )\\n\\nactions_p: 50\\n\\nactions_o: 64\\n\\nvoix: empty\\n\\nsignature: J. feer\\n\\nEntry 34:\\n\\nnumber: 34\\n\\nname: M. STRAP Pierre\\n\\naddress: 73, rue des Vignes PARIS (16\u00b0)\\n\\nactions_p: empty\\n\\nactions_o 1\\n\\nvoix: empty\\n\\nsignature: Aut. Paul\\n\\nEntry 35:\\n\\nnumber: 35\\n\\nname: Mme WARNANT Pierre\\n\\naddress: 148 Av. Franklin Roosevelt BRUXELLES (Belgique)\\n\\nactions_p: 900\\n\\nactions_o: empty\\n\\nvoix: empty\\n\\nsignature: (empty)\\n\\nEntry 36:\\n\\nnumber: 36\\n\\nname: (empty or next)\\n\\naddress: (empty)\\n\\nactions_p: empty\\n\\nactions_o: 1\\n\\nvoix: empty\\n\\nsignature: empty\\n\\nFor 36 name and address not given, perhaps it's there but not in text.\\n\\nFor total_actions 2554 for p, 934 for o, and perhaps total_voix 11 or 0.\\n\\nLet's assume total_actions: {\\\"total_p\\\": \\\"2554\\\", \\\"total_o\\\": \\\"934\\\", \\\"total_voix\\\": \\\"11\\\"} or something.\\n\\nBut confidence low.\\n\\nThe bottom has 3  900 - 1 060 , perhaps total actions 3900, voix 1060 or something.\\n\\nPerhaps total_p = \\\"2554\\\", total_o = \\\"934\\\", total_voix = \\\"0\\\" but that doesn't make sense.\\n\\nI need to output the JSON.\\n\\nLet's construct it.\\n\\nThe output is the JSON.\\n\\ndocument: \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\\\"\\n\\npage_number: 20\\n\\nentries: [\\n\\n{\\\"number\\\": \\\"31\\\", \\\"name\\\": \\\"M. SIRCOUION Jacques\\\", \\\"address\\\": \\\"Mesli\u00e8res (Doubs)\\\", \\\" actions_o\\\": \\\"\\\", \\\"actions_p\\\": \\\"\\\", \\\"voix\\\": \\\"11\\\", \\\"signature\\\": \\\"\\\"},\\n\\n{\\\"number\\\": \\\"32\\\", \\\"name\\\": \\\"St\u00e9 Anonyme des Mines d'OR du CHATELET\\\", \\\"address\\\": \\\"11bis rue Balzac PARIS (8\u00b0)\\\", \\\"actions_o\\\": \\\"45\\\", \\\"actions_p\\\": \\\"365\\\", \\\"voix\\\": \\\"\\\", \\\"signature\\\": \\\"J. feer\\\"},\\n\\n{\\\"number\\\": \\\"33\\\", \\\"name\\\": \\\"M.\"}}],\"created\":1783070038,\"model\":\"grok-4.20-0309-reasoning\",\"object\":\"chat.completion\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_1dda2a4993\",\"usage\":{\"completion_tokens\":532,\"prompt_tokens\":3019,\"total_tokens\":8945,\"completion_tokens_details\":{\"accepted_prediction_tokens\":0,\"audio_tokens\":0,\"reasoning_tokens\":5394,\"rejected_prediction_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":64,\"text_tokens\":589,\"image_tokens\":2430},\"num_sources_used\":0,\"cost_in_usd_ticks\":185215500}}"}, "scoring": {"fuzzy": 0.8184019728913661, "cost_summary": {"total_input_tokens": 26897, "total_output_tokens": 6855, "total_tokens": 33752, "input_cost_usd": 0.053794, "output_cost_usd": 0.04113, "total_cost_usd": 0.09492400000000001}}, "normalized_score": 81.84019728913661}, {"_id": {"$oid": "6a8456c1ef0a19c343227c41"}, "test_id": "T1270", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "openrouter", "model": "qwen/qwen3.7-plus", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\",\"page_number\":20,\"entries\":[{\"number\":\"REPORT\",\"name\":\"\",\"address\":\"\",\"actions_o\":\"2554\",\"actions_p\":\"939\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"31\",\"name\":\"M. SIRCOULON Jacques\",\"address\":\"Mesli\u00e8res (Doubs)\",\"actions_o\":\"\",\"actions_p\":\"11\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"32\",\"name\":\"St\u00e9 Anonyme des Mines d'OR du CHATELET\",\"address\":\"11bis rue Balzac PARIS (8\u00b0)\",\"actions_o\":\"365\",\"actions_p\":\"15\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"S. Jeener\"},{\"number\":\"33\",\"name\":\"M. STRAP Gaston\",\"address\":\"112 Bd Exelmans PARIS (16\u00b0)\",\"actions_o\":\"50\",\"actions_p\":\"64\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"S. Jeener\"},{\"number\":\"34\",\"name\":\"M. STRAP Pierre\",\"address\":\"73, rue des Vignes PARIS (16\u00b0)\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"\",\"signature_present\":true,\"signature\":\"Ant. Paoli\"},{\"number\":\"35\",\"name\":\"Mme WARNANT Pierre\",\"address\":\"148 Av. Franklin Roosevelt BRUXELLES (Belgique)\",\"actions_o\":\"900\",\"actions_p\":\"\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"},{\"number\":\"36\",\"name\":\"de ZANNA Arcangelo\",\"address\":\"\",\"actions_o\":\"\",\"actions_p\":\"1\",\"no_de_voix\":\"\",\"signature_present\":false,\"signature\":\"\"}],\"total_actions\":{\"total_o\":\"3900\",\"total_p\":\"1060\",\"total_voix\":\"\"}}", "model": "qwen/qwen3.7-plus-20260602", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 3134, "output_tokens": 1405, "total_tokens": 4539, "input_cost_usd": 0.0012536000000000001, "output_cost_usd": 0.002248, "estimated_cost_usd": 0.0035016}, "duration": 29.998650550842285, "timestamp": "2026-07-03T11:49:13.594451", "parsed": {"document": "Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20", "page_number": 20, "entries": [{"number": "REPORT", "name": "", "address": "", "actions_o": "2554", "actions_p": "939", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "31", "name": "M. SIRCOULON Jacques", "address": "Mesli\u00e8res (Doubs)", "actions_o": "", "actions_p": "11", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "32", "name": "St\u00e9 Anonyme des Mines d'OR du CHATELET", "address": "11bis rue Balzac PARIS (8\u00b0)", "actions_o": "365", "actions_p": "15", "no_de_voix": "", "signature_present": true, "signature": "S. Jeener"}, {"number": "33", "name": "M. STRAP Gaston", "address": "112 Bd Exelmans PARIS (16\u00b0)", "actions_o": "50", "actions_p": "64", "no_de_voix": "", "signature_present": true, "signature": "S. Jeener"}, {"number": "34", "name": "M. STRAP Pierre", "address": "73, rue des Vignes PARIS (16\u00b0)", "actions_o": "", "actions_p": "1", "no_de_voix": "", "signature_present": true, "signature": "Ant. Paoli"}, {"number": "35", "name": "Mme WARNANT Pierre", "address": "148 Av. Franklin Roosevelt BRUXELLES (Belgique)", "actions_o": "900", "actions_p": "", "no_de_voix": "", "signature_present": false, "signature": ""}, {"number": "36", "name": "de ZANNA Arcangelo", "address": "", "actions_o": "", "actions_p": "1", "no_de_voix": "", "signature_present": false, "signature": ""}], "total_actions": {"total_o": "3900", "total_p": "1060", "total_voix": ""}}, "conversation_id": "48d3f759-7061-4a4c-892d-f1aa6fbabe63", "score": {"fuzzy": 0.4454936147077449}, "raw_response": "{\"id\":\"gen-1783072124-TMVBhKLunsnpuXvSKLAC\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"document\\\": \\\"Se_23_Assembl\u00e9e_1951_Generalversammlung5_page_20\\\",\\n  \\\"page_number\\\": 20,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\": \\\"REPORT\\\",\\n      \\\"name\\\": \\\"\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"2554\\\",\\n      \\\"actions_p\\\": \\\"939\\\",\\n      \\\"no_de_voix\\\": \\\"\\\",\\n      \\\"signature_present\\\": false,\\n      \\\"signature\\\": \\\"\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"31\\\",\\n      \\\"name\\\": \\\"M. 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Costano_2.9_12.1962_page_4\\\",\\n  \\\"page_number\\\": 4,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\":  \\t\\\"1\\\",\\n      \\\"name\\\": \\\"M. BREHAM Alain\\\",\\n      \\\"address\\\": \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\",\\n      \\\"actions_o\\\": \\\"520\\\",\\n      \\\"actions_p\\\": \\\"179\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"M. BREHAM Marc\\\",\\n      \\\"address\\\": \\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\",\\n      \\\"actions_o\\\": \\\"520\\\",\\n      \\\"actions_p\\\": \\\"179\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"M. STRAP Pierre\\\",\\n      \\\"address\\\": \\\"73 rue des Vignes - Paris (16e)\\\",\\n      \\\"actions_o\\\": \\\"80\\\",\\n      \\\"actions_p\\\": \\\"68\\\",\\n      \\\"no_de_voix\\\": \\\"148\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"M. MASSON Daniel\\\",\\n      \\\"address\\\": \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\",\\n      \\\"actions_o\\\": \\\"-\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\",\\n      \\\"address\\\": \\\"Mme Rue Balzac - Paris (8e)\\\",\\n      \\\"actions_o\\\": \\\"822\\\",\\n      \\\"actions_p\\\": \\\"168\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\",\\n      \\\"address\\\": \\\"Mme Rue Balzac - Paris (8e)\\\",\\n      \\\"actions_o\\\": \\\"355\\\",\\n      \\\"actions_p\\\": \\\"45\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\",\\n      \\\"address\\\": \\\"Mme Rue Balzac - Paris (8e)\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"-\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"8\\\",\\n      \\\"name\\\": \\\"M. PAMI Antonio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"11\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"9\\\",\\n      \\\"name\\\": \\\"M. PAMI Tarcisio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"10\\\",\\n      \\\"name\\\": \\\"M. SPIESS Giangiorgio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"2310\\\",\\n    \\\"total_p\\\": \\\"659\\\",\\n    \\\"total_voix\\\": \\\"2969\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"179\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"179\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"3\",\"name\":\"M. STRAP Pierre\",\"address\":\"73 rue des Vignes - Paris (16e)\",\"actions_o\":\"80\",\"actions_p\":\"68\",\"no_de_voix\":\"148\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"4\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"5\",\"name\":\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"822\",\"actions_p\":\"168\",\"no_de_voix\":\"990\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"355\",\"actions_p\":\"45\",\"no_de_voix\":\"400\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"10\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"8\",\"name\":\"M. PAMI Antonio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"10\",\"no_de_voix\":\"11\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"9\",\"name\":\"M. PAMI Tarcisio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"10\",\"name\":\"M. SPIESS Giangiorgio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"}],\"total_actions\":{\"total_o\":\"2310\",\"total_p\":\"659\",\"total_voix\":\"2969\"}},\"reasoning\":\"The user wants me to extract data from the provided image of a document.\\nThe document is a list of shareholders (actionnaires) with their names, addresses, and share counts.\\nI need to extract specific fields: Name, Address, and the share counts (Priorit\u00e9, Ordinaire, Total).\\nThe prompt asks for \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nIt also says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" This is a bit ambiguous. Looking at the image, the name is on one line and the address is on the next line within the same cell.\\nWait, let's look at the columns.\\nColumn 1: N\u00b0 D'ORDRE (Number)\\nColumn 2: NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name, First Names, and Domicile of Shareholders)\\nColumn 3: ACTIONS (Shares) - split into \\\"de Priorit\u00e9\\\" and \\\"Ordinaire\\\"\\nColumn 4: NOMBRE DE VOIX (Number of Votes)\\nColumn 5: SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature)\\n\\nThe prompt asks to extract metadata. It doesn't explicitly list *which* metadata fields, but usually, this implies the main data rows.\\nLet's look at the \\\"Output Format\\\" request. It's not explicitly provided in the prompt text, but the prompt says \\\"Please extract the metadata according to the given output format.\\\" and then \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis implies I should output a list of objects or a structured text.\\nLet's assume a JSON-like or structured list format is best, or just a clean text representation.\\nActually, looking at previous similar tasks, the output is usually a list of dictionaries or a structured text block.\\nLet's look at the specific instruction: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis suggests the input might have been \\\"Name - Address\\\" and I need to make it \\\"Name\\\\nAddress\\\".\\nIn the image, the name and address are on separate lines already.\\nRow 1: \\\"M. BREHAM Alain\\\" then \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nRow 2: \\\"M. BREHAM Marc\\\" then \\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\nRow 3: \\\"M. STRAP Pierre\\\" then \\\"73 rue des Vignes - Paris (16e)\\\"\\nRow 4: \\\"M. MASSON Daniel\\\" then \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\" -> Wait, \\\"Mme\\\" is likely \\\"Mme\\\" or \\\"Mise\\\" or \\\"M...\\\". Let's look closer. It looks like \\\"Mise Rue Balzac\\\" or \\\"Mme Rue Balzac\\\". Actually, looking at row 6 and 7, it says \\\"Mme Rue Balzac\\\". Wait, \\\"Mme\\\" usually means Madame. Maybe it's a typo for \\\"Mise\\\" (placed) or just \\\"Mme\\\". Let's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\". Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at row 5, 6, 7, the address line starts with \\\"Mme\\\". This is strange. Maybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) but that doesn't fit a company address.\\nLet's re-examine.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" (Sicilian Central Mining & Metallurgy Co). Address: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, is it \\\"Mise\\\"? No, looks like \\\"Mme\\\". Or maybe \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nLet's look at the bottom totals. \\\"A REPORTER\\\".\\nLet's look at the names again.\\n1. M. BREHAM Alain\\n2. M. BREHAM Marc\\n3. M. STRAP Pierre\\n4. M. MASSON Daniel\\n5. Cie Centrale de Mines & de M\u00e9tallurgie Sicili (Sicilian)\\n6. Soci\u00e9t\u00e9 des Mines de l'Aunieras\\n7. Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n8. M. PAMI Antonio\\n9. M. PAMI Tarcisio\\n10. M. SPIESS Giangiorgio\\n\\nThe prompt asks to extract metadata. I will extract the Name, Address, and the numbers.\\nThe prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nSo for each row, I need:\\n- Name\\n- Address\\n- Priorit\u00e9 Shares\\n- Ordinaire Shares\\n- Total Votes (or Total Shares? The column header is \\\"NOMBRE DE VOIX\\\" which means Number of Votes. The column \\\"ACTIONS\\\" has \\\"Priorit\u00e9\\\" and \\\"Ordinaire\\\". The sum of Priorit\u00e9 + Ordinaire usually equals Total Shares. The \\\"NOMBRE DE VOIX\\\" column seems to match the sum of the two action columns.\\nRow 1: 520 + 179 = 699. Correct.\\nRow 2: 520 + 179 = 699. Correct.\\nRow 3: 80 + 68 = 148. Correct.\\nRow 4: - + 10 = 10. Correct.\\nRow 5: 822 + 168 = 990. Correct.\\nRow 6: 355 + 45 = 400. Correct.\\nRow 7: 10 + - = 10. Correct.\\nRow 8: 1 + 10 = 11. Correct.\\nRow 9: 1 + - = 1. Correct.\\nRow 10: 1 + - = 1. Correct.\\nTotal at bottom: 2310 (Priorit\u00e9 sum), 659 (Ordinaire sum), 2969 (Total sum).\\nLet's check the sums.\\nPriorit\u00e9: 520+520+80+0+822+355+10+1+1+1 = 1910?\\nWait.\\n520+520 = 1040\\n1040+80 = 1120\\n1120+822 = 1942\\n1942+355 = 2297\\n2297+10 = 2307\\n2307+1+1+1 = 2310. Correct.\\nOrdinaire: 179+179+68+10+168+45+0+10+0+0 = 659?\\n179+179 = 358\\n358+68 = 426\\n426+10 = 436\\n436+168 = 604\\n604+45 = 649\\n649+10 = 659. Correct.\\nTotal: 699+699+148+10+990+400+10+11+1+1 = 2969?\\n699+699 = 1398\\n1398+148 = 1546\\n1546+10 = 1556\\n1556+990 = 2546\\n2546+400 = 2946\\n2946+10 = 2956\\n2956+11 = 2967\\n2967+1+1 = 2969. Correct.\\n\\nOkay, I have all the numbers.\\nNow for the text extraction.\\nThe prompt says \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis is a specific instruction.\\nIn the image, the name is on one line, address on the next.\\nExample Row 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nThe dash in the address \\\"Boulevard Charcot - Neuilly\\\" should be preserved.\\nThe \\\"visual splitting character\\\" between name and address is likely the newline.\\nSo I should output:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address\\\".\\nMaybe it means if the text was \\\"Name - Address\\\", I should remove the dash.\\nBut here they are on separate lines.\\nLet's assume the \\\"Name and Address\\\" field in the table contains both.\\nSo I need to split that field.\\nField content:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSplit into Name: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\n\\nLet's look at Row 5, 6, 7 address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\nThis looks like a typo in the original document for \\\"Mme\\\" (Madame) or maybe \\\"Mise\\\" (placed at). Or maybe \\\"M.\\\" (Monsieur). Given it's a company address, maybe it's just \\\"Mme\\\" as a placeholder or error. I will transcribe it as written: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, looking really closely at crop 5, it looks like \\\"Mme\\\". Or maybe \\\"Mise\\\". Let's assume \\\"Mme\\\" as it looks like M-m-e. Actually, looking at row 6 and 7, it's the same.\\nWait, let's look at the full image again.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nAddress: \\\"Mme Rue Balzac - Paris (8e)\\\" -> This is very likely \\\"Mme\\\" but makes no sense. Could it be \\\"Mise\\\"? \\\"Mise Rue Balzac\\\". No, \\\"Mise\\\" is usually followed by \\\"\u00e0\\\".\\nCould it be \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nCould it be \\\"Mme\\\" standing for \\\"Mme\\\" (Madame) but the shareholder is a company?\\nLet's look at the shareholder name: \\\"Cie Centrale...\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nActually, looking at the other rows, \\\"Rue Balzac\\\" is a street.\\nMaybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person? No, \\\"Cie Centrale\\\" is a company.\\nMaybe it's \\\"Mise\\\" (placed).\\nLet's look at the handwriting. It looks like \\\"Mme\\\".\\nLet's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\". Address: \\\"Mme Rue Balzac\\\".\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". Address: \\\"Mme Rue Balzac\\\".\\nThis is strange. \\\"Mme\\\" usually means Madame.\\nMaybe it's \\\"M.\\\" (Monsieur) but written with a macron? No.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"? No, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" meaning \\\"Mme\\\" (Madame) and the address is just \\\"Rue Balzac\\\".\\nLet's assume the text is \\\"Mme Rue Balzac - Paris (8e)\\\". I will transcribe it as is.\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"? No, the name is \\\"Cie Centrale...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the letters. M-m-e.\\nMaybe it's \\\"Mme\\\" (Madame) and the shareholder is a woman? But the name is \\\"Cie Centrale...\\\".\\nMaybe it's a typo for \\\"Mise\\\" (placed).\\nOr maybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is something else? No, the line is \\\"Cie Centrale...\\\".\\nLet's just transcribe what I see: \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at crop 5, it looks like \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the bottom total.\\nThe prompt asks for \\\"Name and Address\\\".\\nI will extract the name and address for each row.\\n\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e) -> I'll transcribe \\\"Mme\\\" as it looks like it. Or maybe \\\"Mise\\\". Let's look at the 'i'. It has a dot. So \\\"Mise\\\"? No, the dot is on the 'i' in \\\"Sicili\\\" above. The letter in address looks like 'm'. Then 'e'. So \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person?\\nNo, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's assume it's \\\"Mme\\\".\\nActually, looking at row 6 and 7, it's the same address.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is \\\"Soci\u00e9t\u00e9 des Mines...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's just transcribe \\\"Mme Rue Balzac - Paris (8e)\\\".\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress: (Empty) -> Wait, looking at row 8, the address field is empty.\\nWait, let's look at the full image.\\nRow 8: \\\"M. PAMI Antonio\\\". The address line is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The address line is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The address line is empty.\\nWait, let's look closer.\\nRow 8: \\\"M. PAMI Antonio\\\". Below it is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". Below it is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". Below it is empty.\\nActually, looking at the lines, row 8, 9, 10 seem to have no address written.\\nWait, let's look at the spacing.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty for these.\\n\\nLet's re-verify the \\\"Name and Address\\\" instruction.\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n\\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis implies that in the source, there might be a dash.\\nIn the image, the name is on one line, address on the next.\\nSo I will split by newline.\\nName: Line 1\\nAddress: Line 2\\n\\nLet's refine the extraction.\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\nPriorit\u00e9: 80\\nOrdinaire: 68\\nVotes: 148\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\nPriorit\u00e9: - (or empty)\\nOrdinaire: 10\\nVotes: 10\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 822\\nOrdinaire: 168\\nVotes: 990\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 355\\nOrdinaire: 45\\nVotes: 400\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 10\\nOrdinaire: - (or empty)\\nVotes: 10\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire: 10\\nVotes: 11\\n\\nRow 9:\\nName: M. PAMI Tarcisio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nRow 10:\\nName: M. SPIESS Giangiorgio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nTotal Row:\\nA REPORTER\\nPriorit\u00e9: 2310\\nOrdinaire: 659\\nVotes: 2969\\n\\nThe prompt asks for \\\"metadata\\\". I will provide the extracted data in a structured format.\\nThe prompt mentions \\\"Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\\\". This suggests the document is from a meeting on 2.9.12.1962 (Sept 2, 1962? or Dec 2, 1962? 2.9 usually means Sept 2 in Europe, or Dec 2 in US. Given \\\"Neuilly s/ Seine\\\", it's France, so Sept 2, 1962. Or maybe 12.1962 is the date? No, 2.9.12.1962 looks like 2nd September 1962. Or 12th December 1962? 2.9.12.1962 is weird. Maybe 2.9.1962? And 12 is page 12? No, page 4.\\nMaybe 2.9.12.1962 means 2nd September 1962.\\nWait, \\\"2.9_12.1962\\\". Maybe 2nd September 1962.\\nAnyway, I don't need to extract the date unless it's in the table.\\nThe table has \\\"A REPORTER\\\" at the bottom.\\n\\nI will formulate the output as a list of dictionaries.\\nKeys: \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI need to handle the \\\"Name and Address\\\" split.\\nThe instruction \\\"Lose any dashes between name and address but preserve linebreaks\\\" is key.\\nIn the image, the name and address are separated by a line break.\\nSo I will keep the line break in the \\\"Address\\\" field? No, \\\"preserve linebreaks\\\" usually means if there are multiple lines in the address, keep them.\\nBut here, the name is on one line, address on the next.\\nSo \\\"Name\\\" is line 1. \\\"Address\\\" is line 2.\\nThe instruction \\\"Lose any dashes between name and address\\\" might refer to a format like \\\"Name - Address\\\".\\nSince they are on separate lines, I just split by newline.\\n\\nLet's check the address text again.\\n\\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\" -> The dash is part of the address.\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\" -> Dash part of address.\\n\\\"73 rue des Vignes - Paris (16e)\\\" -> Dash part of address.\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\" -> Dash part of address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\" -> Dash part of address.\\n\\nSo I will extract:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nOne detail: \\\"Lose any dashes between name and address\\\".\\nIf the text was \\\"M. BREHAM Alain - 45 Boulevard...\\\", I would remove the dash.\\nBut it's \\\"M. BREHAM Alain\\\\n45 Boulevard...\\\".\\nSo I just split.\\n\\nLet's look at the \\\"Name\\\" field.\\n\\\"M. BREHAM Alain\\\"\\n\\\"M. BREHAM Marc\\\"\\n\\\"M. STRAP Pierre\\\"\\n\\\"M. MASSON Daniel\\\"\\n\\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" -> \\\"Sicili\\\" is cut off? \\\"Sicili\\\" usually means Sicilian. \\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian). Or \\\"Sicilia\\\". The text says \\\"Sicili\\\". I will transcribe \\\"Sicili\\\".\\n\\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\n\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n\\\"M. PAMI Antonio\\\"\\n\\\"M. PAMI Tarcisio\\\"\\n\\\"M. SPIESS Giangiorgio\\\"\\n\\nLet's check the \\\"Address\\\" field for rows 8, 9, 10.\\nThey seem empty.\\nWait, let's look at the lines.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty string.\\n\\nOne final check on the \\\"Mme\\\" address.\\nIt appears in rows 5, 6, 7.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nRow 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\nAll have \\\"Mme Rue Balzac - Paris (8e)\\\".\\nThis is likely a shared address or a typo. I will transcribe it as is.\\n\\nThe output format should be a list of objects.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as well? The prompt doesn't specify, but it's good for context.\\nThe prompt says \\\"extract the metadata\\\".\\nI will extract Name, Address, and the numbers.\\n\\nLet's structure the output.\\n[\\n  {\\n    \\\"Name\\\": \\\"M. BREHAM Alain\\\",\\n    \\\"Address\\\": \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\",\\n    \\\"Priorit\u00e9\\\": 520,\\n    \\\"Ordinaire\\\": 179,\\n    \\\"Votes\\\": 699\\n  },\\n  ...\\n]\\n\\nWait, the prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis confirms my plan.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might mean if the name and address are on the same line separated by a dash, remove the dash.\\nBut in this document, they are on separate lines.\\nSo I will just split by newline.\\n\\nLet's double check the \\\"Mme\\\" part.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is clearly a company.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\"?\\nMaybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur) or \\\"Mise\\\" (placed).\\nGiven it's a company, \\\"Mme\\\" is weird.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is a woman?\\nBut the name is \\\"Cie Centrale...\\\".\\nMaybe the shareholder is \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is the company they represent?\\nNo, the column is \\\"NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\\".\\nSo the shareholder is the entity named.\\nSo \\\"Cie Centrale...\\\" is the shareholder.\\nSo the address \\\"Mme Rue Balzac\\\" is the address of the shareholder.\\nThis is very strange.\\nMaybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"?\\nBut the text is \\\"Cie Centrale...\\\".\\nMaybe \\\"Cie Centrale...\\\" is the company, and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe \\\"Mme\\\" is a typo for \\\"Mise\\\" (placed). \\\"Mise Rue Balzac\\\".\\nOr maybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur).\\nI will transcribe it as \\\"Mme\\\" because that's what it looks like.\\nActually, looking really closely at crop 5, the first letter is 'M'. The second looks like 'm'. The third looks like 'e'.\\nSo \\\"Mme\\\".\\nI'll stick with \\\"Mme\\\".\\n\\nOne more check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\n\\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian).\\nI will transcribe \\\"Sicili\\\".\\n\\nRow 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nRow 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex. \\\"Fran\u00e7aises\\\" has a cedilla.\\n\\nRow 8 Name: \\\"M. PAMI Antonio\\\".\\nRow 9 Name: \\\"M. PAMI Tarcisio\\\".\\nRow 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nOkay, I'm ready.\\nI will output the data as a list of dictionaries.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as \\\"Order\\\" or just index.\\nThe prompt doesn't specify the keys. I'll use \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI'll also include \\\"Order\\\" to be complete.\\n\\nWait, the prompt says \\\"extract the metadata according to the given output format.\\\"\\nBut no output format is given in the prompt text.\\n\\\"Please extract the metadata according to the given output format.\\\"\\nMaybe it refers to a standard format I should know?\\nOr maybe the prompt is incomplete?\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis is an instruction on how to process the data.\\nI will assume a JSON format is appropriate.\\n\\nLet's check the bottom row \\\"A REPORTER\\\".\\nIt has numbers: 2310, 659, 2969.\\nI should probably include this as a summary row or just ignore it if it's not a shareholder.\\nThe prompt asks to extract metadata. Usually, this means the rows.\\nI will include the rows 1-10.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis instruction is specific.\\nIf the text was \\\"Name - Address\\\", I would remove the dash.\\nIf the text was \\\"Name\\\\nAddress\\\", I would keep the newline?\\n\\\"preserve linebreaks\\\" -> keep the newline.\\n\\\"Lose any dashes between name and address\\\" -> remove the dash if it exists between them.\\nIn this document, there is no dash between name and address. There is a newline.\\nSo I just split by newline.\\n\\nFinal check on the numbers.\\nRow 4: Priorit\u00e9 is \\\"-\\\". Ordinaire is \\\"10\\\". Votes is \\\"10\\\".\\nRow 7: Priorit\u00e9 is \\\"10\\\". Ordinaire is \\\"-\\\". Votes is \\\"10\\\".\\nRow 9: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\nRow 10: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\n\\nI will represent empty/missing values as empty strings or null.\\nThe prompt doesn't specify. I'll use empty strings for missing values in the text fields.\\nFor numbers, I'll use the numbers.\\n\\nLet's write down the final extraction.\\n1. Name: M. BREHAM Alain, Address: 45 Boulevard Charcot - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n2. Name: M. BREHAM Marc, Address: 16, rue Saint Pierre - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n3. Name: M. STRAP Pierre, Address: 73 rue des Vignes - Paris (16e), Priorit\u00e9: 80, Ordinaire: 68, Votes: 148\\n4. Name: M. MASSON Daniel, Address: 9 rue de l'Orangerie - Compi\u00e8gne (Oise), Priorit\u00e9: -, Ordinaire: 10, Votes: 10\\n5. Name: Cie Centrale de Mines & de M\u00e9tallurgie Sicili, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 822, Ordinaire: 168, Votes: 990\\n6. Name: Soci\u00e9t\u00e9 des Mines de l'Aunieras, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 355, Ordinaire: 45, Votes: 400\\n7. Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 10, Ordinaire: -, Votes: 10\\n8. Name: M. PAMI Antonio, Address: , Priorit\u00e9: 1, Ordinaire: 10, Votes: 11\\n9. Name: M. PAMI Tarcisio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n10. Name: M. SPIESS Giangiorgio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n\\nI will format this as a JSON list.\\nI will interpret \\\"Lose any dashes between name and address\\\" as removing the dash if it separates name and address.\\nIn the image, the name and address are on separate lines.\\nSo I will just split by newline.\\nThe address itself contains dashes (e.g., \\\"Boulevard Charcot - Neuilly\\\"). These should be preserved.\\nThe instruction \\\"preserve linebreaks\\\" likely refers to if the address has multiple lines.\\nIn this document, the address is on one line.\\nSo \\\"Address\\\" will be a single line string.\\n\\nOne detail: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThe \\\"s/ Seine\\\" is \\\"sur Seine\\\".\\n\\\"Neuilly s/ Seine\\\" is \\\"Neuilly sur Seine\\\".\\nI will transcribe \\\"s/ Seine\\\".\\n\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\n\\\"73 rue des Vignes - Paris (16e)\\\"\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\n\\nOkay, I think I have everything.\\nI will produce the JSON output.\\nI will add the \\\"Order\\\" field as well, as it's the first column.\\nThe prompt says \\\"extract the metadata\\\".\\nI'll include all columns.\\n\\nOne final check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nThe last word is \\\"Sicili\\\". It might be \\\"Sicilia\\\" cut off. But I see \\\"Sicili\\\".\\nI will transcribe \\\"Sicili\\\".\\n\\nOne final check on Row 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nOne final check on Row 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex on the first e. \\\"Fran\u00e7aises\\\" has a cedilla on the c.\\n\\nOne final check on Row 8 Name: \\\"M. PAMI Antonio\\\".\\nOne final check on Row 9 Name: \\\"M. PAMI Tarcisio\\\".\\nOne final check on Row 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nThe \\\"A REPORTER\\\" row is a total row. I will not include it in the list of shareholders, but maybe as a separate field or ignore.\\nThe prompt asks to extract metadata. I'll stick to the rows.\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might imply that the input text (if I were processing raw text) would have \\\"Name - Address\\\".\\nBut here I am processing an image.\\nSo I am extracting the text.\\nThe text in the cell is:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSo I split this into Name and Address.\\nName: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThis matches my plan.\\n\\nI will formulate the response now.\\n\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract data from the provided image of a document.\\nThe document is a list of shareholders (actionnaires) with their names, addresses, and share counts.\\nI need to extract specific fields: Name, Address, and the share counts (Priorit\u00e9, Ordinaire, Total).\\nThe prompt asks for \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nIt also says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" This is a bit ambiguous. Looking at the image, the name is on one line and the address is on the next line within the same cell.\\nWait, let's look at the columns.\\nColumn 1: N\u00b0 D'ORDRE (Number)\\nColumn 2: NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name, First Names, and Domicile of Shareholders)\\nColumn 3: ACTIONS (Shares) - split into \\\"de Priorit\u00e9\\\" and \\\"Ordinaire\\\"\\nColumn 4: NOMBRE DE VOIX (Number of Votes)\\nColumn 5: SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature)\\n\\nThe prompt asks to extract metadata. It doesn't explicitly list *which* metadata fields, but usually, this implies the main data rows.\\nLet's look at the \\\"Output Format\\\" request. It's not explicitly provided in the prompt text, but the prompt says \\\"Please extract the metadata according to the given output format.\\\" and then \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis implies I should output a list of objects or a structured text.\\nLet's assume a JSON-like or structured list format is best, or just a clean text representation.\\nActually, looking at previous similar tasks, the output is usually a list of dictionaries or a structured text block.\\nLet's look at the specific instruction: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis suggests the input might have been \\\"Name - Address\\\" and I need to make it \\\"Name\\\\nAddress\\\".\\nIn the image, the name and address are on separate lines already.\\nRow 1: \\\"M. BREHAM Alain\\\" then \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nRow 2: \\\"M. BREHAM Marc\\\" then \\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\nRow 3: \\\"M. STRAP Pierre\\\" then \\\"73 rue des Vignes - Paris (16e)\\\"\\nRow 4: \\\"M. MASSON Daniel\\\" then \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\" -> Wait, \\\"Mme\\\" is likely \\\"Mme\\\" or \\\"Mise\\\" or \\\"M...\\\". Let's look closer. It looks like \\\"Mise Rue Balzac\\\" or \\\"Mme Rue Balzac\\\". Actually, looking at row 6 and 7, it says \\\"Mme Rue Balzac\\\". Wait, \\\"Mme\\\" usually means Madame. Maybe it's a typo for \\\"Mise\\\" (placed) or just \\\"Mme\\\". Let's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\". Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at row 5, 6, 7, the address line starts with \\\"Mme\\\". This is strange. Maybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) but that doesn't fit a company address.\\nLet's re-examine.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" (Sicilian Central Mining & Metallurgy Co). Address: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, is it \\\"Mise\\\"? No, looks like \\\"Mme\\\". Or maybe \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nLet's look at the bottom totals. \\\"A REPORTER\\\".\\nLet's look at the names again.\\n1. M. BREHAM Alain\\n2. M. BREHAM Marc\\n3. M. STRAP Pierre\\n4. M. MASSON Daniel\\n5. Cie Centrale de Mines & de M\u00e9tallurgie Sicili (Sicilian)\\n6. Soci\u00e9t\u00e9 des Mines de l'Aunieras\\n7. Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n8. M. PAMI Antonio\\n9. M. PAMI Tarcisio\\n10. M. SPIESS Giangiorgio\\n\\nThe prompt asks to extract metadata. I will extract the Name, Address, and the numbers.\\nThe prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nSo for each row, I need:\\n- Name\\n- Address\\n- Priorit\u00e9 Shares\\n- Ordinaire Shares\\n- Total Votes (or Total Shares? The column header is \\\"NOMBRE DE VOIX\\\" which means Number of Votes. The column \\\"ACTIONS\\\" has \\\"Priorit\u00e9\\\" and \\\"Ordinaire\\\". The sum of Priorit\u00e9 + Ordinaire usually equals Total Shares. The \\\"NOMBRE DE VOIX\\\" column seems to match the sum of the two action columns.\\nRow 1: 520 + 179 = 699. Correct.\\nRow 2: 520 + 179 = 699. Correct.\\nRow 3: 80 + 68 = 148. Correct.\\nRow 4: - + 10 = 10. Correct.\\nRow 5: 822 + 168 = 990. Correct.\\nRow 6: 355 + 45 = 400. Correct.\\nRow 7: 10 + - = 10. Correct.\\nRow 8: 1 + 10 = 11. Correct.\\nRow 9: 1 + - = 1. Correct.\\nRow 10: 1 + - = 1. Correct.\\nTotal at bottom: 2310 (Priorit\u00e9 sum), 659 (Ordinaire sum), 2969 (Total sum).\\nLet's check the sums.\\nPriorit\u00e9: 520+520+80+0+822+355+10+1+1+1 = 1910?\\nWait.\\n520+520 = 1040\\n1040+80 = 1120\\n1120+822 = 1942\\n1942+355 = 2297\\n2297+10 = 2307\\n2307+1+1+1 = 2310. Correct.\\nOrdinaire: 179+179+68+10+168+45+0+10+0+0 = 659?\\n179+179 = 358\\n358+68 = 426\\n426+10 = 436\\n436+168 = 604\\n604+45 = 649\\n649+10 = 659. Correct.\\nTotal: 699+699+148+10+990+400+10+11+1+1 = 2969?\\n699+699 = 1398\\n1398+148 = 1546\\n1546+10 = 1556\\n1556+990 = 2546\\n2546+400 = 2946\\n2946+10 = 2956\\n2956+11 = 2967\\n2967+1+1 = 2969. Correct.\\n\\nOkay, I have all the numbers.\\nNow for the text extraction.\\nThe prompt says \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis is a specific instruction.\\nIn the image, the name is on one line, address on the next.\\nExample Row 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nThe dash in the address \\\"Boulevard Charcot - Neuilly\\\" should be preserved.\\nThe \\\"visual splitting character\\\" between name and address is likely the newline.\\nSo I should output:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address\\\".\\nMaybe it means if the text was \\\"Name - Address\\\", I should remove the dash.\\nBut here they are on separate lines.\\nLet's assume the \\\"Name and Address\\\" field in the table contains both.\\nSo I need to split that field.\\nField content:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSplit into Name: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\n\\nLet's look at Row 5, 6, 7 address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\nThis looks like a typo in the original document for \\\"Mme\\\" (Madame) or maybe \\\"Mise\\\" (placed at). Or maybe \\\"M.\\\" (Monsieur). Given it's a company address, maybe it's just \\\"Mme\\\" as a placeholder or error. I will transcribe it as written: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, looking really closely at crop 5, it looks like \\\"Mme\\\". Or maybe \\\"Mise\\\". Let's assume \\\"Mme\\\" as it looks like M-m-e. Actually, looking at row 6 and 7, it's the same.\\nWait, let's look at the full image again.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nAddress: \\\"Mme Rue Balzac - Paris (8e)\\\" -> This is very likely \\\"Mme\\\" but makes no sense. Could it be \\\"Mise\\\"? \\\"Mise Rue Balzac\\\". No, \\\"Mise\\\" is usually followed by \\\"\u00e0\\\".\\nCould it be \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nCould it be \\\"Mme\\\" standing for \\\"Mme\\\" (Madame) but the shareholder is a company?\\nLet's look at the shareholder name: \\\"Cie Centrale...\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nActually, looking at the other rows, \\\"Rue Balzac\\\" is a street.\\nMaybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person? No, \\\"Cie Centrale\\\" is a company.\\nMaybe it's \\\"Mise\\\" (placed).\\nLet's look at the handwriting. It looks like \\\"Mme\\\".\\nLet's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\". Address: \\\"Mme Rue Balzac\\\".\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". Address: \\\"Mme Rue Balzac\\\".\\nThis is strange. \\\"Mme\\\" usually means Madame.\\nMaybe it's \\\"M.\\\" (Monsieur) but written with a macron? No.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"? No, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" meaning \\\"Mme\\\" (Madame) and the address is just \\\"Rue Balzac\\\".\\nLet's assume the text is \\\"Mme Rue Balzac - Paris (8e)\\\". I will transcribe it as is.\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"? No, the name is \\\"Cie Centrale...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the letters. M-m-e.\\nMaybe it's \\\"Mme\\\" (Madame) and the shareholder is a woman? But the name is \\\"Cie Centrale...\\\".\\nMaybe it's a typo for \\\"Mise\\\" (placed).\\nOr maybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is something else? No, the line is \\\"Cie Centrale...\\\".\\nLet's just transcribe what I see: \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at crop 5, it looks like \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the bottom total.\\nThe prompt asks for \\\"Name and Address\\\".\\nI will extract the name and address for each row.\\n\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e) -> I'll transcribe \\\"Mme\\\" as it looks like it. Or maybe \\\"Mise\\\". Let's look at the 'i'. It has a dot. So \\\"Mise\\\"? No, the dot is on the 'i' in \\\"Sicili\\\" above. The letter in address looks like 'm'. Then 'e'. So \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person?\\nNo, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's assume it's \\\"Mme\\\".\\nActually, looking at row 6 and 7, it's the same address.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is \\\"Soci\u00e9t\u00e9 des Mines...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's just transcribe \\\"Mme Rue Balzac - Paris (8e)\\\".\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress: (Empty) -> Wait, looking at row 8, the address field is empty.\\nWait, let's look at the full image.\\nRow 8: \\\"M. PAMI Antonio\\\". The address line is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The address line is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The address line is empty.\\nWait, let's look closer.\\nRow 8: \\\"M. PAMI Antonio\\\". Below it is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". Below it is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". Below it is empty.\\nActually, looking at the lines, row 8, 9, 10 seem to have no address written.\\nWait, let's look at the spacing.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty for these.\\n\\nLet's re-verify the \\\"Name and Address\\\" instruction.\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n\\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis implies that in the source, there might be a dash.\\nIn the image, the name is on one line, address on the next.\\nSo I will split by newline.\\nName: Line 1\\nAddress: Line 2\\n\\nLet's refine the extraction.\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\nPriorit\u00e9: 80\\nOrdinaire: 68\\nVotes: 148\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\nPriorit\u00e9: - (or empty)\\nOrdinaire: 10\\nVotes: 10\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 822\\nOrdinaire: 168\\nVotes: 990\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 355\\nOrdinaire: 45\\nVotes: 400\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 10\\nOrdinaire: - (or empty)\\nVotes: 10\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire: 10\\nVotes: 11\\n\\nRow 9:\\nName: M. PAMI Tarcisio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nRow 10:\\nName: M. SPIESS Giangiorgio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nTotal Row:\\nA REPORTER\\nPriorit\u00e9: 2310\\nOrdinaire: 659\\nVotes: 2969\\n\\nThe prompt asks for \\\"metadata\\\". I will provide the extracted data in a structured format.\\nThe prompt mentions \\\"Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\\\". This suggests the document is from a meeting on 2.9.12.1962 (Sept 2, 1962? or Dec 2, 1962? 2.9 usually means Sept 2 in Europe, or Dec 2 in US. Given \\\"Neuilly s/ Seine\\\", it's France, so Sept 2, 1962. Or maybe 12.1962 is the date? No, 2.9.12.1962 looks like 2nd September 1962. Or 12th December 1962? 2.9.12.1962 is weird. Maybe 2.9.1962? And 12 is page 12? No, page 4.\\nMaybe 2.9.12.1962 means 2nd September 1962.\\nWait, \\\"2.9_12.1962\\\". Maybe 2nd September 1962.\\nAnyway, I don't need to extract the date unless it's in the table.\\nThe table has \\\"A REPORTER\\\" at the bottom.\\n\\nI will formulate the output as a list of dictionaries.\\nKeys: \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI need to handle the \\\"Name and Address\\\" split.\\nThe instruction \\\"Lose any dashes between name and address but preserve linebreaks\\\" is key.\\nIn the image, the name and address are separated by a line break.\\nSo I will keep the line break in the \\\"Address\\\" field? No, \\\"preserve linebreaks\\\" usually means if there are multiple lines in the address, keep them.\\nBut here, the name is on one line, address on the next.\\nSo \\\"Name\\\" is line 1. \\\"Address\\\" is line 2.\\nThe instruction \\\"Lose any dashes between name and address\\\" might refer to a format like \\\"Name - Address\\\".\\nSince they are on separate lines, I just split by newline.\\n\\nLet's check the address text again.\\n\\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\" -> The dash is part of the address.\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\" -> Dash part of address.\\n\\\"73 rue des Vignes - Paris (16e)\\\" -> Dash part of address.\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\" -> Dash part of address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\" -> Dash part of address.\\n\\nSo I will extract:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nOne detail: \\\"Lose any dashes between name and address\\\".\\nIf the text was \\\"M. BREHAM Alain - 45 Boulevard...\\\", I would remove the dash.\\nBut it's \\\"M. BREHAM Alain\\\\n45 Boulevard...\\\".\\nSo I just split.\\n\\nLet's look at the \\\"Name\\\" field.\\n\\\"M. BREHAM Alain\\\"\\n\\\"M. BREHAM Marc\\\"\\n\\\"M. STRAP Pierre\\\"\\n\\\"M. MASSON Daniel\\\"\\n\\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" -> \\\"Sicili\\\" is cut off? \\\"Sicili\\\" usually means Sicilian. \\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian). Or \\\"Sicilia\\\". The text says \\\"Sicili\\\". I will transcribe \\\"Sicili\\\".\\n\\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\n\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n\\\"M. PAMI Antonio\\\"\\n\\\"M. PAMI Tarcisio\\\"\\n\\\"M. SPIESS Giangiorgio\\\"\\n\\nLet's check the \\\"Address\\\" field for rows 8, 9, 10.\\nThey seem empty.\\nWait, let's look at the lines.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty string.\\n\\nOne final check on the \\\"Mme\\\" address.\\nIt appears in rows 5, 6, 7.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nRow 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\nAll have \\\"Mme Rue Balzac - Paris (8e)\\\".\\nThis is likely a shared address or a typo. I will transcribe it as is.\\n\\nThe output format should be a list of objects.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as well? The prompt doesn't specify, but it's good for context.\\nThe prompt says \\\"extract the metadata\\\".\\nI will extract Name, Address, and the numbers.\\n\\nLet's structure the output.\\n[\\n  {\\n    \\\"Name\\\": \\\"M. BREHAM Alain\\\",\\n    \\\"Address\\\": \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\",\\n    \\\"Priorit\u00e9\\\": 520,\\n    \\\"Ordinaire\\\": 179,\\n    \\\"Votes\\\": 699\\n  },\\n  ...\\n]\\n\\nWait, the prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis confirms my plan.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might mean if the name and address are on the same line separated by a dash, remove the dash.\\nBut in this document, they are on separate lines.\\nSo I will just split by newline.\\n\\nLet's double check the \\\"Mme\\\" part.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is clearly a company.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\"?\\nMaybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur) or \\\"Mise\\\" (placed).\\nGiven it's a company, \\\"Mme\\\" is weird.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is a woman?\\nBut the name is \\\"Cie Centrale...\\\".\\nMaybe the shareholder is \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is the company they represent?\\nNo, the column is \\\"NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\\".\\nSo the shareholder is the entity named.\\nSo \\\"Cie Centrale...\\\" is the shareholder.\\nSo the address \\\"Mme Rue Balzac\\\" is the address of the shareholder.\\nThis is very strange.\\nMaybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"?\\nBut the text is \\\"Cie Centrale...\\\".\\nMaybe \\\"Cie Centrale...\\\" is the company, and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe \\\"Mme\\\" is a typo for \\\"Mise\\\" (placed). \\\"Mise Rue Balzac\\\".\\nOr maybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur).\\nI will transcribe it as \\\"Mme\\\" because that's what it looks like.\\nActually, looking really closely at crop 5, the first letter is 'M'. The second looks like 'm'. The third looks like 'e'.\\nSo \\\"Mme\\\".\\nI'll stick with \\\"Mme\\\".\\n\\nOne more check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\n\\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian).\\nI will transcribe \\\"Sicili\\\".\\n\\nRow 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nRow 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex. \\\"Fran\u00e7aises\\\" has a cedilla.\\n\\nRow 8 Name: \\\"M. PAMI Antonio\\\".\\nRow 9 Name: \\\"M. PAMI Tarcisio\\\".\\nRow 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nOkay, I'm ready.\\nI will output the data as a list of dictionaries.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as \\\"Order\\\" or just index.\\nThe prompt doesn't specify the keys. I'll use \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI'll also include \\\"Order\\\" to be complete.\\n\\nWait, the prompt says \\\"extract the metadata according to the given output format.\\\"\\nBut no output format is given in the prompt text.\\n\\\"Please extract the metadata according to the given output format.\\\"\\nMaybe it refers to a standard format I should know?\\nOr maybe the prompt is incomplete?\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis is an instruction on how to process the data.\\nI will assume a JSON format is appropriate.\\n\\nLet's check the bottom row \\\"A REPORTER\\\".\\nIt has numbers: 2310, 659, 2969.\\nI should probably include this as a summary row or just ignore it if it's not a shareholder.\\nThe prompt asks to extract metadata. Usually, this means the rows.\\nI will include the rows 1-10.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis instruction is specific.\\nIf the text was \\\"Name - Address\\\", I would remove the dash.\\nIf the text was \\\"Name\\\\nAddress\\\", I would keep the newline?\\n\\\"preserve linebreaks\\\" -> keep the newline.\\n\\\"Lose any dashes between name and address\\\" -> remove the dash if it exists between them.\\nIn this document, there is no dash between name and address. There is a newline.\\nSo I just split by newline.\\n\\nFinal check on the numbers.\\nRow 4: Priorit\u00e9 is \\\"-\\\". Ordinaire is \\\"10\\\". Votes is \\\"10\\\".\\nRow 7: Priorit\u00e9 is \\\"10\\\". Ordinaire is \\\"-\\\". Votes is \\\"10\\\".\\nRow 9: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\nRow 10: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\n\\nI will represent empty/missing values as empty strings or null.\\nThe prompt doesn't specify. I'll use empty strings for missing values in the text fields.\\nFor numbers, I'll use the numbers.\\n\\nLet's write down the final extraction.\\n1. Name: M. BREHAM Alain, Address: 45 Boulevard Charcot - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n2. Name: M. BREHAM Marc, Address: 16, rue Saint Pierre - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n3. Name: M. STRAP Pierre, Address: 73 rue des Vignes - Paris (16e), Priorit\u00e9: 80, Ordinaire: 68, Votes: 148\\n4. Name: M. MASSON Daniel, Address: 9 rue de l'Orangerie - Compi\u00e8gne (Oise), Priorit\u00e9: -, Ordinaire: 10, Votes: 10\\n5. Name: Cie Centrale de Mines & de M\u00e9tallurgie Sicili, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 822, Ordinaire: 168, Votes: 990\\n6. Name: Soci\u00e9t\u00e9 des Mines de l'Aunieras, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 355, Ordinaire: 45, Votes: 400\\n7. Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 10, Ordinaire: -, Votes: 10\\n8. Name: M. PAMI Antonio, Address: , Priorit\u00e9: 1, Ordinaire: 10, Votes: 11\\n9. Name: M. PAMI Tarcisio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n10. Name: M. SPIESS Giangiorgio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n\\nI will format this as a JSON list.\\nI will interpret \\\"Lose any dashes between name and address\\\" as removing the dash if it separates name and address.\\nIn the image, the name and address are on separate lines.\\nSo I will just split by newline.\\nThe address itself contains dashes (e.g., \\\"Boulevard Charcot - Neuilly\\\"). These should be preserved.\\nThe instruction \\\"preserve linebreaks\\\" likely refers to if the address has multiple lines.\\nIn this document, the address is on one line.\\nSo \\\"Address\\\" will be a single line string.\\n\\nOne detail: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThe \\\"s/ Seine\\\" is \\\"sur Seine\\\".\\n\\\"Neuilly s/ Seine\\\" is \\\"Neuilly sur Seine\\\".\\nI will transcribe \\\"s/ Seine\\\".\\n\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\n\\\"73 rue des Vignes - Paris (16e)\\\"\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\n\\nOkay, I think I have everything.\\nI will produce the JSON output.\\nI will add the \\\"Order\\\" field as well, as it's the first column.\\nThe prompt says \\\"extract the metadata\\\".\\nI'll include all columns.\\n\\nOne final check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nThe last word is \\\"Sicili\\\". It might be \\\"Sicilia\\\" cut off. But I see \\\"Sicili\\\".\\nI will transcribe \\\"Sicili\\\".\\n\\nOne final check on Row 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nOne final check on Row 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex on the first e. \\\"Fran\u00e7aises\\\" has a cedilla on the c.\\n\\nOne final check on Row 8 Name: \\\"M. PAMI Antonio\\\".\\nOne final check on Row 9 Name: \\\"M. PAMI Tarcisio\\\".\\nOne final check on Row 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nThe \\\"A REPORTER\\\" row is a total row. I will not include it in the list of shareholders, but maybe as a separate field or ignore.\\nThe prompt asks to extract metadata. I'll stick to the rows.\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might imply that the input text (if I were processing raw text) would have \\\"Name - Address\\\".\\nBut here I am processing an image.\\nSo I am extracting the text.\\nThe text in the cell is:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSo I split this into Name and Address.\\nName: \\\"M. 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Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\n  \"document\": \"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\n  \"page_number\": 4,\n  \"entries\": [\n    {\n      \"number\": \"1\",\n      \"name\": \"M. BREHAM Alain\",\n      \"address\": \"45 Boulevard Charcot Neuilly s/seine\\n(Seine)\",\n      \"actions_o\": \"520\",\n      \"actions_p\": \"179\",\n      \"no_de_voix\": \"699\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"2\",\n      \"name\": \"M. 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MASSON Daniel\",\n      \"address\": \"9 rue de l'Orangerie Compi\u00e8gne (Oise)\",\n      \"actions_o\": \"-\",\n      \"actions_p\": \"10\",\n      \"no_de_voix\": \"10\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"5\",\n      \"name\": \"Cie Centrale de Mines et de Metallurgie SICIL\",\n      \"address\": \"11 bis Rue Balzac Paris (8e)\",\n      \"actions_o\": \"822\",\n      \"actions_p\": \"168\",\n      \"no_de_voix\": \"990\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"6\",\n      \"name\": \"Soci\u00e9t\u00e9 des Mines de l'Aurieras\",\n      \"address\": \"11 bis Rue Balzac Paris (8e)\",\n      \"actions_o\": \"355\",\n      \"actions_p\": \"45\",\n      \"no_de_voix\": \"400\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"7\",\n      \"name\": \"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\n      \"address\": \"11 bis Rue Balzac Paris (8e)\",\n      \"actions_o\": \"10\",\n      \"actions_p\": \"-\",\n      \"no_de_voix\": \"10\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"8\",\n      \"name\": \"M. PANI Antonio\",\n      \"address\": \"\",\n      \"actions_o\": \"1\",\n      \"actions_p\": \"10\",\n      \"no_de_voix\": \"11\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"9\",\n      \"name\": \"M. PANI Terenzio\",\n      \"address\": \"\",\n      \"actions_o\": \"1\",\n      \"actions_p\": \"\",\n      \"no_de_voix\": \"1\",\n      \"signature_present\": true,\n      \"signature\": \"Pa\"\n    },\n    {\n      \"number\": \"10\",\n      \"name\": \"M. SPIESS Giangiorgio\",\n      \"address\": \"\",\n      \"actions_o\": \"1\",\n      \"actions_p\": \"\",\n      \"no_de_voix\": \"1\",\n      \"signature_present\": false,\n      \"signature\": \"\"\n    }\n  ],\n  \"total_actions\": {\n    \"total_o\": \"2310\",\n    \"total_p\": \"659\",\n    \"total_voix\": \"2969\"\n  }\n}", "model": "gpt-5.3-codex", "provider": "openai", "finish_reason": "completed", "usage": {"input_tokens": 2364, "output_tokens": 853, "total_tokens": 3217, "input_cost_usd": 0.004137, "output_cost_usd": 0.011942000000000001, "estimated_cost_usd": 0.016079000000000003}, "duration": 11.874821424484253, "timestamp": "2026-03-23T21:18:35.694837", "parsed": {"document": "Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4", "page_number": 4, "entries": [{"number": "1", "name": "M. 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PANI Antonio", "address": "", "actions_o": "1", "actions_p": "10", "no_de_voix": "11", "signature_present": true, "signature": "Pa"}, {"number": "9", "name": "M. PANI Terenzio", "address": "", "actions_o": "1", "actions_p": "", "no_de_voix": "1", "signature_present": true, "signature": "Pa"}, {"number": "10", "name": "M. 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