{"_id": {"$oid": "6ab1687f1481417a2aae4cf9"}, "test_id": "T1156", "benchmark": "library_cards", "date": "2026-06-22", "tags": {"document-type": ["index-card"], "writing": ["typed", "printed", "handwritten"], "century": [20, 19], "language": ["de", "fr", "en", "la", "el", "fi", "sv", "pl"], "layout": ["index"], "entry-type": ["bibliographic"], "task": ["information-extraction"]}, "contributors": ["gabriel_muller", "maximilian_hindermann"], "hidden": false, "config": {"provider": "scicore", "model": "qwen35-397b-a17b-fp8", "dataclass": "Document", "temperature": 0.0, "role_description": "You are a historian with keyword knowledge", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Extract the bibliographic information about a historical dissertation from this index card and return it as a structured JSON object with the following exact format:\n\n```json\n{\n  \"type\": {\n    \"type\": \"Dissertation or thesis\" OR \"Reference\"\n  },\n  \"author\": {\n    \"last_name\": \"string\",\n    \"first_name\": \"string\"\n  },\n  \"publication\": {\n    \"title\": \"string\",\n    \"year\": integer,\n    \"place\": \"string or empty string\",\n    \"pages\": \"string or empty string\",\n    \"publisher\": \"string or empty string\",\n    \"format\": \"string or empty string\"\n  },\n  \"library_reference\": {\n    \"shelfmark\": \"string or empty string\",\n    \"subjects\": \"string or empty string\"\n  }\n}\n```\n\nEXTRACTION RULES:\n1. **Card Type**: If a card contains the note \"s.\" on a separate line, it is a \"Reference\". Otherwise, it is a \"Dissertation or thesis\".\n\n2. **Author**: Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\n\n3. **Publication**:\n   - title: The main title of the work\n   - year: Publication year as integer\n   - place: Publication place\n   - pages: Page count (remove \" S.\" suffix if present)\n   - publisher: Publishing house/institution\n   - format: Usually \"8\u00b0\", \"8'\", or \"4\u00b0\" - single value only\n\n4. **Library Reference**:\n   - shelfmark: Often begins with \"Diss.\" or \"AT\", may be marked with \"Standort:\"\n   - subjects: Subject classifications or keywords\n\n5. **Missing Information**: Use empty string \"\" for missing text fields, omit year fields entirely if not present.\n\n6. **Ignore**: Disregard any information that doesn't fit into these categories.\n\nReturn ONLY the JSON object, no additional text or explanation.", "results": {"text": "{\"type\":{\"type\":\"Reference\"},\"author\":{\"last_name\":\"Montaghemi\",\"first_name\":\"Nourhomadeh\"},\"publication\":{\"title\":\"\",\"year\":\"\",\"place\":\"\",\"pages\":\"\",\"publisher\":\"\",\"format\":\"\",\"editor\":\"\"},\"library_reference\":{\"shelfmark\":\"\",\"subjects\":\"\"}}", "model": "qwen35-397b-a17b-fp8", "provider": "scicore", "finish_reason": "stop", "usage": {"input_tokens": 1008, "output_tokens": 1615, "total_tokens": 2623, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "estimated_cost_usd": 0.0}, "duration": 26.427293300628662, "timestamp": "2026-06-22T16:41:57.597997", "parsed": {"type": {"type": "Reference"}, "author": {"last_name": "Montaghemi", "first_name": "Nourhomadeh"}, "publication": {"title": "", "year": "", "place": "", "pages": "", "publisher": "", "format": "", "editor": ""}, "library_reference": {"shelfmark": "", "subjects": ""}}, "conversation_id": "4badbb20-dc10-4e32-85db-c14ecf019cc1", "score": {"f1_score": 0.33, "precision": 0.3333333333333333, "recall": 0.3333333333333333, "true_positives": 1, "false_positives": 2, "false_negatives": 2, "field_scores": {"library_reference.subjects": {"response": null, "ground_truth": null, "score": 1.0}, "publication.editor": {"response": null, "ground_truth": null, "score": 1.0}, "author.first_name": {"response": "Nourhomadeh", "ground_truth": null, "score": 0.0}, "publication.publisher": {"response": null, "ground_truth": null, "score": 1.0}, "library_reference.shelfmark": {"response": null, "ground_truth": null, "score": 1.0}, "publication.pages": {"response": null, "ground_truth": null, "score": 1.0}, "publication.place": {"response": null, "ground_truth": null, "score": 1.0}, "publication.format": {"response": null, "ground_truth": null, "score": 1.0}, "publication.title": {"response": null, "ground_truth": "Montaghemi, Nourhomadeh", "score": 0.0}, "author.last_name": {"response": "Montaghemi", "ground_truth": "Sonnenbichler", "score": 0.34782608695652173}, "type.type": {"response": "Reference", "ground_truth": "Reference", "score": 1.0}, "publication.year": {"response": null, "ground_truth": null, "score": 1.0}}, "total_fields": 12}, "raw_response": "{\"id\":\"chatcmpl-bfe3d84c262b0535\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"author\\\": {\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\",\\n    \\\"last_name\\\": \\\"Montaghemi\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"subjects\\\": \\\"\\\",\\n    \\\"shelfmark\\\": \\\"\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"title\\\": \\\"\\\",\\n    \\\"editor\\\": \\\"\\\",\\n    \\\"year\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\"\\n  },\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"type\":{\"type\":\"Reference\"},\"author\":{\"last_name\":\"Montaghemi\",\"first_name\":\"Nourhomadeh\"},\"publication\":{\"title\":\"\",\"year\":\"\",\"place\":\"\",\"pages\":\"\",\"publisher\":\"\",\"format\":\"\",\"editor\":\"\"},\"library_reference\":{\"shelfmark\":\"\",\"subjects\":\"\"}},\"reasoning\":\"The user wants me to extract bibliographic information from an image of an index card.\\n\\n**1. Analyze the image:**\\n*   **Text content:**\\n    *   Line 1: `M o n t a g h e m i, Nourhomadeh`\\n    *   Line 2: `s.`\\n    *   Line 3: `S o n n e n b i c h l e r - Montaghemi, Nourhomadeh`\\n    *   Bottom: A black dot.\\n\\n**2. Apply Extraction Rules:**\\n\\n*   **Card Type:** The card contains \\\"s.\\\" on a separate line (Line 2). According to Rule 1, this makes it a \\\"Reference\\\". The \\\"s.\\\" stands for \\\"siehe\\\" (German for \\\"see\\\"), indicating a cross-reference.\\n\\n*   **Author:**\\n    *   The primary entry is `Montaghemi, Nourhomadeh`.\\n    *   Last name: `Montaghemi`\\n    *   First name: `Nourhomadeh`\\n\\n*   **Publication:**\\n    *   This is a reference card pointing to another entry (`Sonnenbichler - Montaghemi, Nourhomadeh`). It doesn't contain publication details like title, year, place, etc., for the work itself. It's just a cross-reference.\\n    *   Therefore, title, year, place, pages, publisher, format should be empty strings or omitted.\\n\\n*   **Library Reference:**\\n    *   There is no shelfmark (like \\\"Diss.\\\" or \\\"AT\\\") visible.\\n    *   There are no subjects listed.\\n    *   The text `S o n n e n b i c h l e r - Montaghemi, Nourhomadeh` is the reference target, not a subject or shelfmark.\\n\\n**3. Construct JSON:**\\n\\n*   `type`: \\\"Reference\\\" (because of \\\"s.\\\")\\n*   `author`:\\n    *   `last_name`: \\\"Montaghemi\\\"\\n    *   `first_name`: \\\"Nourhomadeh\\\"\\n*   `publication`: All empty/omitted.\\n*   `library_reference`: All empty.\\n\\nWait, let's re-read the rules carefully.\\nRule 1: \\\"If a card contains the note \\\"s.\\\" on a separate line, it is a \\\"Reference\\\".\\\" -> Confirmed.\\nRule 2: \\\"Extract last_name and first_name.\\\" -> \\\"Montaghemi, Nourhomadeh\\\" -> last: Montaghemi, first: Nourhomadeh.\\nRule 3: Publication fields. Since it's a reference card, there is no publication info here.\\nRule 4: Library Reference. No shelfmark or subjects visible.\\n\\nThe text `S o n n e n b i c h l e r - Montaghemi, Nourhomadeh` is the cross-reference target. It implies the main entry is under \\\"Sonnenbichler\\\". This card is just telling the user to look there.\\n\\nSo the JSON should reflect that this is a reference card for the author Montaghemi, pointing elsewhere.\\n\\nLet's refine the JSON structure based on the prompt's requirements.\\n\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nWait, the prompt says \\\"year: integer\\\" but also \\\"omit year fields entirely if not present\\\". I will omit it.\\nActually, looking at the provided JSON template in the prompt:\\n```json\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"string\\\",\\n    \\\"year\\\": integer,\\n    ...\\n  }\\n```\\nIt defines `year` as an integer type. But rule 5 says \\\"omit year fields entirely if not present\\\". This is a contradiction in standard JSON schema validation vs instruction. Usually, \\\"omit\\\" means don't include the key. However, the template shows the key. I will follow Rule 5: \\\"omit year fields entirely if not present\\\". Wait, looking at the template again, it has `\\\"year\\\": integer`. If I omit it, it's not an integer. If I put null, it's not an integer.\\nLet's look at the instruction: \\\"Return ONLY the JSON object\\\".\\nLet's look at Rule 5 again: \\\"Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\nOkay, so I will not include the \\\"year\\\" key if it's missing.\\n\\nLet's re-evaluate the \\\"type\\\" field. The prompt says:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis is a nested object.\\n\\nLet's assemble the final JSON.\\n\\nAuthor: Montaghemi, Nourhomadeh.\\nType: Reference (due to \\\"s.\\\").\\nPublication info: None.\\nLibrary ref: None.\\n\\nOne detail: The prompt asks for \\\"bibliographic information about a historical dissertation\\\". This card is a cross-reference card *for* a dissertation index, likely. But the card itself is a reference.\\n\\nLet's double check the text.\\n`M o n t a g h e m i, Nourhomadeh`\\n`s.`\\n`S o n n e n b i c h l e r - Montaghemi, Nourhomadeh`\\n\\nThis confirms it's a \\\"see\\\" reference. The user should look under Sonnenbichler.\\n\\nFinal check of fields:\\n- type.type: \\\"Reference\\\"\\n- author.last_name: \\\"Montaghemi\\\"\\n- author.first_name: \\\"Nourhomadeh\\\"\\n- publication.title: \\\"\\\"\\n- publication.year: (omit)\\n- publication.place: \\\"\\\"\\n- publication.pages: \\\"\\\"\\n- publication.publisher: \\\"\\\"\\n- publication.format: \\\"\\\"\\n- library_reference.shelfmark: \\\"\\\"\\n- library_reference.subjects: \\\"\\\"\\n\\nWait, is \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" a subject? No, it's clearly a name cross-reference.\\nIs it a shelfmark? No.\\n\\nSo most fields will be empty.\\n\\nOne small correction on the template provided in the prompt:\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n...\\n}\\n```\\nThis implies the key is \\\"type\\\" and the value is an object with a key \\\"type\\\".\\n\\nLet's write the JSON.\\n\"},\"stop_reason\":null,\"token_ids\":null}],\"created\":1782139291,\"model\":\"qwen35-397b-a17b-fp8\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":1615,\"prompt_tokens\":1008,\"total_tokens\":2623,\"completion_tokens_details\":null,\"prompt_tokens_details\":null},\"prompt_logprobs\":null,\"prompt_token_ids\":null,\"kv_transfer_params\":null}"}, "scoring": {"f1_micro": 0.8164595640660012, "f1_macro": 0.8100760456273765, "micro_precision": 0.8035284683239775, "micro_recall": 0.8298136645962733, "total_instances": 263, "total_tp": 2004, "total_fp": 490, "total_fn": 411, "cost_summary": {"total_input_tokens": 274461, "total_output_tokens": 969703, "total_tokens": 1244164, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "total_cost_usd": 0.0}}, "pricing": {"bucket_date": "2026-06-05", "age_days": 17, "input_price_per_million": 0.0, "output_price_per_million": 0.0}, "timing": {"total_response_s": 25138.35, "mean_response_s": 95.58, "slowest_response_s": 1967.02, "inputs_timed": 263, "inputs_stored": 263, "span_s": 2905.3}, "normalized_score": 81.00760456273764}