{"_id": {"$oid": "69d4eb12b877594bc5718c79"}, "test_id": "T0428", "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": "magistral-medium-2509", "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\":{\"send_date\":null,\"letter_title\":null,\"sender_persons\":null,\"receiver_persons\":null}}", "model": "magistral-medium-2509", "provider": "mistral", "finish_reason": "stop", "usage": {"input_tokens": 585, "output_tokens": 44, "total_tokens": 629, "input_cost_usd": 0.00117, "output_cost_usd": 0.00021999999999999998, "estimated_cost_usd": 0.00139}, "duration": 1.4024879932403564, "timestamp": "2026-02-17T15:43:54.002388", "parsed": {"metadata": {"letter_title": null, "send_date": null, "sender_persons": null, "receiver_persons": null, "document_number": "letter53"}}, "conversation_id": "59634b26-cbe4-4450-828b-57f71470d11f", "score": {"send_date_tp": 0, "send_date_fp": 0, "send_date_fn": 1, "sender_persons_tp": 0, "sender_persons_fp": 0, "sender_persons_fn": 1, "receiver_persons_tp": 0, "receiver_persons_fp": 0, "receiver_persons_fn": 0}, "raw_response": "{\"id\":\"2580d8ddef40491387e403e7921d2aa8\",\"object\":\"chat.completion\",\"model\":\"magistral-medium-2509\",\"usage\":{\"prompt_tokens\":585,\"completion_tokens\":44,\"total_tokens\":629,\"prompt_tokens_details\":{\"cached_tokens\":704}},\"created\":1771339432,\"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": 18720, "total_output_tokens": 1408, "total_tokens": 20128, "input_cost_usd": 0.03744, "output_cost_usd": 0.007039999999999997, "total_cost_usd": 0.04448000000000001}}, "normalized_score": 0}