{"_id": {"$oid": "69d4eb12b877594bc5718973"}, "test_id": "T0188", "benchmark": "business_letters", "date": "2025-10-01", "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-2411", "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", "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": {"provider": "mistral", "model": "mistral-large-latest", "duration": 4.882924556732178, "timestamp": "2025-10-01T15:39:41.217685", "text": "{\n  \"metadata\": {\n    \"send_date\": [\"1928-04-23\"],\n    \"letter_title\": [null],\n    \"sender_persons\": [\"Rheinschiffahrt-Aktiengesellschaft\"],\n    \"receiver_persons\": [\"Herrn Oettinger\"]\n  }\n}", "raw_response": {"id": "2ed840e2aefc448689bf5efeb5e0bcbc", "model": "mistral-large-latest", "choices": [{"finish_reason": "stop", "index": 0, "message": {"content": "{\n  \"metadata\": {\n    \"send_date\": [\"1928-04-23\"],\n    \"letter_title\": [null],\n    \"sender_persons\": [\"Rheinschiffahrt-Aktiengesellschaft\"],\n    \"receiver_persons\": [\"Herrn Oettinger\"]\n  }\n}", "role": "assistant"}}], "usage": {"prompt_tokens": 1552, "completion_tokens": 68, "total_tokens": 1620}}, "usage": {"input_tokens": 1552, "output_tokens": 68, "total_tokens": 1620}, "finish_reason": "stop"}, "scoring": {"f1_macro": 0.42, "f1_micro": 0.45, "cost_summary": {"total_input_tokens": 129390, "total_output_tokens": 4239, "total_tokens": 133629, "input_cost_usd": 0.25878, "output_cost_usd": 0.025434, "total_cost_usd": 0.284214, "pricing_date": "2025-10-01", "input_price_per_million": 2.0, "output_price_per_million": 6.0}}, "normalized_score": 42.0}