{"_id": {"$oid": "6ac4c7b6164e0f17c0b23a40"}, "test_id": "T1797", "benchmark": "business_letters", "date": "2026-09-29", "tags": {"document-type": ["letter"], "writing": ["typed", "handwritten"], "century": [20], "language": ["de"], "layout": ["prose"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["eric_decker", "maximilian_hindermann", "lea_kasper", "anthea_alberto", "pema_frick", "jose_luis_losada_palenzuela", "sorin_marti", "elena_spadini"], "hidden": false, "config": {"provider": "scicore", "model": "Qwen3.8-Flash-Next-FP8", "dataclass": "Document", "temperature": 0.0, "role_description": "You are a historian with keyword knowledge and an expert in the field of 20th century Swiss history", "prompt_file": "prompt.txt", "rules": "{\"skip_signatures\": true, \"skip_non_signatures\": false, \"base_url\": \"https://ai-api.scicore.unibas.ch/v1\"}", "legacy_test": false}, "prompt": "            IDENTITY and PURPOSE:\n\n            You are presented with a series of images constituting a historical letter. Your task is to extract the\n            values of the following keys from the letter and return them in a JSON file where the values\n            corresponding to each key should be stored as a list, even if there is only a single value for a\n            key:\n\n            - letter_title: Title of the letter.\n            - sender_persons: Name(s) of the person(s) who wrote the letter.\n            - send_date: The exact or approximate date the letter was written.\n            - receiver_persons: Name(s) of the person(s) who received the letter.\n\n            Take a deep breath and think step by step about how to best accomplish this goal. Map out all the claims\n            and implications on a virtual whiteboard in your mind. Do not use OCR. Use the ISO format YYYY-MM-DD for\n            dates. If a piece of information is not included in the letter, set the value for the corresponding key\n            to \"null\". Do not return anything except the JSON file.\n\n            EXAMPLE:\n\n            {\n                \"letter_title\": [\"Petition for Environmental Protection\"],\n                \"send_date\": [\"1993-03-12\"],\n                \"sender_persons\": [\"Lisa Simpson\"],\n                \"receiver_persons\": [\"Mayor Joe Quimby\", \"Seymour Skinner\"],\n            }\n\n            OUTPUT:", "results": {"text": "{\"metadata\":{\"send_date\":[\"1926-03-29\"],\"letter_title\":[\"null\"],\"sender_persons\":[\"null\"],\"receiver_persons\":[\"Dr. W. Krasting\"]}}", "model": "Qwen3.8-Flash-Next-FP8", "provider": "scicore", "finish_reason": "stop", "usage": {"input_tokens": 3261, "output_tokens": 1259, "total_tokens": 4520, "reasoning_tokens": 0, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "reasoning_cost_usd": 0.0, "estimated_cost_usd": 0.0}, "duration": 9.253524780273438, "timestamp": "2026-09-29T20:48:57.819453", "parsed": {"metadata": {"send_date": ["1926-03-29"], "letter_title": ["null"], "sender_persons": ["null"], "receiver_persons": ["Dr. W. Krasting"]}}, "conversation_id": "998c5f91-06ce-47c3-a1cb-b52a83b2a55c", "score": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0, "sender_persons_tp": 0, "sender_persons_fp": 0, "sender_persons_fn": 0, "receiver_persons_tp": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0, "field_scores": {"send_date": {"response": ["1926-03-29"], "ground_truth": ["1926-03-29"], "score": null, "counts": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0}}, "sender_persons": {"response": [], "ground_truth": [], "score": null, "counts": {"sender_persons_tp": 0, "sender_persons_fp": 0, "sender_persons_fn": 0}}, "receiver_persons": {"response": ["Krasting, Wilhelm"], "ground_truth": ["Krasting, Wilhelm"], "score": null, "counts": {"receiver_persons_tp": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0}}}}, "raw_response": "{\"id\":\"chatcmpl-a34a4133067b8472\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"metadata\\\": {\\n        \\\"send_date\\\": [\\\"1926-03-29\\\"],\\n        \\\"letter_title\\\": [\\\"null\\\"],\\n        \\\"sender_persons\\\": [\\\"null\\\"],\\n        \\\"receiver_persons\\\": [\\\"Dr. W. Krasting\\\"]\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"metadata\":{\"send_date\":[\"1926-03-29\"],\"letter_title\":[\"null\"],\"sender_persons\":[\"null\"],\"receiver_persons\":[\"Dr. W. Krasting\"]}},\"reasoning\":\"The user wants me to extract specific information from a historical letter image and return it as JSON. Let me carefully examine the image.\\n\\nThe letter is typed in German. Let me read the content.\\n\\nTop right: \\\"Basel, den 29. M\u00e4rz 1926.\\\" - This is the date and place. So send_date = 1926-03-29.\\n\\nThere's a red \\\"5\\\" handwritten in the top right corner, likely an archival number, not part of the letter content.\\n\\nThere's a \\\"T\\\" on the left margin, likely a filing mark.\\n\\nRecipient block:\\n\\\"Herrn Dr. W. Krasting,\\nInternationale Ausstellung f\u00fcr Binnenschiffahrt und Wasserkraftnutzung Basel 1926\\nBasel.\\\"\\n\\nSo receiver_persons = [\\\"Dr. W. Krasting\\\"] or \\\"Herrn Dr. W. Krasting\\\". The name is Dr. W. Krasting.\\n\\nBody: \\\"Ich best\u00e4tige Ihnen dankend den Erhalt Ihres Schreibens vom 26. dies und teile Ihnen mit, dass die Besprechungen mit verschiedenen unserer Vorstandsmitglieder wegen einer Betriebsgemeinschaft weiter gef\u00fchrt werden. Ich glaube, dass wir n\u00e4chstens mit einem Vorschlage werden an Sie herantreten k\u00f6nnen.\\\"\\n\\nClosing: \\\"Hochachtungsvoll\\\"\\n\\nThere is no signature name visible. The letter is signed \\\"Hochachtungsvoll\\\" but no name is given. So sender_persons = null.\\n\\nLetter title: There's no explicit title. The recipient block mentions \\\"Internationale Ausstellung f\u00fcr Binnenschiffahrt und Wasserkraftnutzung Basel 1926\\\" but that's the recipient's affiliation, not a title of the letter. So letter_title = null.\\n\\nLet me double check the sender. The body uses \\\"Ich\\\" and \\\"unserer Vorstandsmitglieder\\\" suggesting the sender is a member of a board, but no name is given. So sender_persons = null.\\n\\nThus:\\nletter_title: null\\nsender_persons: null\\nsend_date: [\\\"1926-03-29\\\"]\\nreceiver_persons: [\\\"Dr. W. Krasting\\\"]\\n\\nThe instructions say values should be stored as a list even if single value, but if not included set to \\\"null\\\". The example shows null not in list? The example doesn't show null. The instruction: \\\"If a piece of information is not included in the letter, set the value for the corresponding key to \\\"null\\\".\\\" So I should set it to \\\"null\\\" (the string) or null? It says set the value to \\\"null\\\". In the example, values are lists. Hmm. The instruction text uses \\\"null\\\" in quotes. I think they want the JSON null or the string \\\"null\\\"? The phrasing: set the value for the corresponding key to \\\"null\\\". I'll interpret as the string \\\"null\\\"? But that's odd. Many similar tasks expect the literal string \\\"null\\\". Actually they wrote \\\"null\\\" with quotes in the instruction, but in JSON null is a keyword. The example doesn't include null. I think safest is to use the string \\\"null\\\"? Hmm but they say \\\"set the value ... to \\\"null\\\"\\\". The quotes might just denote the value. Hard to say.\\n\\nLooking at typical patterns of these prompts, they often expect the literal string \\\"null\\\". But JSON null is also common. The instruction explicitly puts \\\"null\\\" in quotes which in the prompt text is just quoting the word. I'll go with the string \\\"null\\\"? Let's think: In the example, all values are lists of strings. If a key is missing, they'd probably want \\\"null\\\" as a string to keep type consistency? Or null? The phrase \\\"set the value for the corresponding key to \\\"null\\\"\\\" - I lean toward the string \\\"null\\\" because they put it in quotes like they put other strings in quotes. But JSON null is unquoted. Hmm.\\n\\nActually re-reading: \\\"If a piece of information is not included in the letter, set the value for the corresponding key to \\\"null\\\".\\\" The quotes around null are likely just to highlight the token. In many of these benchmark prompts, the expected answer is the string \\\"null\\\". I've seen both. Let me consider the structure: they want a list even for single value. For null they probably don't want a list. I'll provide the string \\\"null\\\". Hmm but that's weird because then it's not a list.\\n\\nLet me look at the example again: all keys have list values. The instruction about null overrides the list rule presumably. I think the most common convention in these tasks is the literal string \\\"null\\\". I'll go with \\\"null\\\" as a string. Wait, but they wrote \\\"null\\\" with double quotes in the prompt which in JSON would be a string. If they wanted JSON null they'd write null without quotes. The fact they wrote \\\"null\\\" with quotes strongly suggests the string. Yes I'll use the string \\\"null\\\".\\n\\nHmm, but actually in the prompt they also wrote \\\"null\\\" in the EXAMPLE? No, example has no null. They wrote in instructions: set the value ... to \\\"null\\\". I'll trust the quotes = string.\\n\\nLet me finalize.\\n\\nreceiver_persons: I'll include \\\"Dr. W. Krasting\\\". Should I include \\\"Herrn\\\"? \\\"Herrn\\\" is the dative of Herr, an honorific. The name is Dr. W. Krasting. I'll use \\\"Dr. W. Krasting\\\".\\n\\nsend_date: [\\\"1926-03-29\\\"].\\n\\nletter_title: \\\"null\\\".\\nsender_persons: \\\"null\\\".\\n\\nNow produce JSON only.\\n\"},\"stop_reason\":null,\"token_ids\":null,\"routed_experts\":null}],\"created\":1790707728,\"model\":\"Qwen3.8-Flash-Next-FP8\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":\"vllm-0.29.0-tp4-ep-873e7112\",\"usage\":{\"completion_tokens\":1259,\"prompt_tokens\":3261,\"total_tokens\":4520,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":null,\"reasoning_tokens\":1192,\"rejected_prediction_tokens\":null},\"prompt_tokens_details\":null},\"prompt_logprobs\":null,\"prompt_token_ids\":null,\"prompt_text\":null,\"kv_transfer_params\":null,\"ec_transfer_params\":null,\"metrics\":null}"}, "scoring": {"f1_macro": 0.52, "f1_micro": 0.6, "cost_summary": {"total_input_tokens": 110345, "total_output_tokens": 64691, "total_tokens": 175036, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "total_cost_usd": 0.0}}, "pricing": {"bucket_date": "2026-09-27", "age_days": 2, "input_price_per_million": 0.0, "output_price_per_million": 0.0}, "timing": {"total_response_s": 461.32, "mean_response_s": 18.45, "slowest_response_s": 56.14, "inputs_timed": 25, "inputs_stored": 25, "span_s": 452.23}, "normalized_score": 52.0}