{"_id": {"$oid": "69d4eb12b877594bc5718c74"}, "test_id": "T0534", "benchmark": "business_letters", "date": "2026-02-17", "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": "mistral", "model": "mistral-large-2512", "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. You only return valid JSON an no other text.", "prompt_file": "prompt.txt", "rules": "{\"skip_signatures\": true, \"skip_non_signatures\": false}", "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": "{\n    \"metadata\": {\n        \"letter_title\": [null],\n        \"send_date\": [null],\n        \"sender_persons\": [null],\n        \"receiver_persons\": [null]\n    }\n}", "model": "mistral-large-2512", "provider": "mistral", "finish_reason": "stop", "usage": {"input_tokens": 585, "output_tokens": 46, "total_tokens": 631, "input_cost_usd": 0.0002925, "output_cost_usd": 6.9e-05, "estimated_cost_usd": 0.0003615}, "duration": 1.0304346084594727, "timestamp": "2026-02-17T15:49:22.487591", "parsed": {"metadata": {"letter_title": [null], "send_date": [null], "sender_persons": [null], "receiver_persons": [null], "document_number": "letter49"}}, "conversation_id": "765e0c65-391c-4b6c-b488-6da97c181334", "score": {"send_date_tp": 0, "send_date_fp": 0, "send_date_fn": 1, "sender_persons_tp": 0, "sender_persons_fp": 0, "sender_persons_fn": 0, "receiver_persons_tp": 0, "receiver_persons_fp": 0, "receiver_persons_fn": 0}, "raw_response": "{\"id\":\"4d755dce1f8e46a7b8a2d2e7c346d1b3\",\"object\":\"chat.completion\",\"model\":\"mistral-large-2512\",\"usage\":{\"prompt_tokens\":585,\"completion_tokens\":46,\"total_tokens\":631,\"prompt_tokens_details\":{\"cached_tokens\":592}},\"created\":1771339761,\"choices\":[{\"index\":0,\"message\":{\"content\":\"{\\n    \\\"metadata\\\": {\\n        \\\"letter_title\\\": [null],\\n        \\\"send_date\\\": [null],\\n        \\\"sender_persons\\\": [null],\\n        \\\"receiver_persons\\\": [null]\\n    }\\n}\",\"tool_calls\":null,\"prefix\":false,\"role\":\"assistant\"},\"finish_reason\":\"stop\"}]}"}, "scoring": {"f1_macro": 0.0, "f1_micro": 0.0, "cost_summary": {"total_input_tokens": 14625, "total_output_tokens": 1082, "total_tokens": 15707, "input_cost_usd": 0.007312500000000004, "output_cost_usd": 0.0016229999999999997, "total_cost_usd": 0.008935499999999999}}, "normalized_score": 0}