{"_id": {"$oid": "6a26c67c3572c06bc1455e49"}, "test_id": "T1092", "benchmark": "business_letters", "date": "2026-06-04", "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-medium-3.5", "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\": false, \"skip_non_signatures\": true}", "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\": {\"letter_title\": [null], \"send_date\": [\"1926-02-16\"], \"sender_persons\": [\"Basler Rheinschiffahrt-Aktiengesellschaft\"], \"receiver_persons\": [\"Herrn Christ\", \"i/Fa. Paravicini, Christ & Co.\"]}}", "model": "mistral-medium-3.5", "provider": "mistral", "finish_reason": "stop", "usage": {"input_tokens": 7186, "output_tokens": 73, "total_tokens": 7259, "input_cost_usd": 0.010779, "output_cost_usd": 0.0005475, "estimated_cost_usd": 0.0113265}, "duration": 253.77983450889587, "timestamp": "2026-06-04T14:00:28.138658", "parsed": {"metadata": {"letter_title": [null], "send_date": ["1926-02-16"], "sender_persons": ["Basler Rheinschiffahrt-Aktiengesellschaft"], "receiver_persons": ["Herrn Christ", "i/Fa. Paravicini, Christ & Co."], "document_number": "letter01"}}, "conversation_id": "7b02c13f-c832-45eb-a06a-d2c291822fe7", "score": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0, "sender_persons_tp": 0, "sender_persons_fp": 1, "sender_persons_fn": 2, "receiver_persons_tp": 1, "receiver_persons_fp": 1, "receiver_persons_fn": 0}, "raw_response": "{\"id\":\"3349d5e777fe4e9ca203bb4c432ede70\",\"object\":\"chat.completion\",\"model\":\"mistral-medium-3.5\",\"usage\":{\"prompt_tokens\":7186,\"completion_tokens\":73,\"total_tokens\":7259,\"prompt_tokens_details\":{\"cached_tokens\":0}},\"created\":1780574418,\"choices\":[{\"index\":0,\"message\":{\"role\":\"assistant\",\"content\":\"{\\\"metadata\\\": {\\\"letter_title\\\": [null], \\\"send_date\\\": [\\\"1926-02-16\\\"], \\\"sender_persons\\\": [\\\"Basler Rheinschiffahrt-Aktiengesellschaft\\\"], \\\"receiver_persons\\\": [\\\"Herrn Christ\\\", \\\"i/Fa. Paravicini, Christ & Co.\\\"]}}\",\"tool_calls\":null,\"prefix\":false},\"finish_reason\":\"stop\"}]}"}, "scoring": {"f1_macro": 0.48, "f1_micro": 0.43, "cost_summary": {"total_input_tokens": 147918, "total_output_tokens": 2171, "total_tokens": 150089, "input_cost_usd": 0.22187699999999988, "output_cost_usd": 0.016282500000000002, "total_cost_usd": 0.2381594999999999}}, "normalized_score": 48.0}