{"_id": {"$oid": "69d4eb12b877594bc5718bcc"}, "test_id": "T0261", "benchmark": "business_letters", "date": "2026-01-25", "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": "openrouter", "model": "qwen/qwen3-vl-8b-instruct", "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}", "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\":[\"1932-09-23\"],\"letter_title\":null,\"sender_persons\":null,\"receiver_persons\":[\"Basler Rheinschiffahrt Aktiengesellschaft\"]}}", "model": "qwen/qwen3-vl-8b-instruct", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 1847, "output_tokens": 56, "total_tokens": 1903, "input_cost_usd": 0.00014776, "output_cost_usd": 2.8e-05, "estimated_cost_usd": 0.00017576}, "duration": 1.527381181716919, "timestamp": "2026-01-25T04:36:34.181822", "parsed": {"metadata": {"send_date": ["1932-09-23"], "letter_title": null, "sender_persons": null, "receiver_persons": ["Basler Rheinschiffahrt Aktiengesellschaft"], "document_number": "letter51"}}, "conversation_id": "d4b9db76-5981-4987-bd30-05f73655cf23", "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": 0, "receiver_persons_fp": 1, "receiver_persons_fn": 0}, "raw_response": "{\"id\":\"gen-1769312192-BFMibkJQsaw03QwvKitT\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"metadata\\\": {\\n        \\\"letter_title\\\": null,\\n        \\\"receiver_persons\\\": [\\\"Basler Rheinschiffahrt Aktiengesellschaft\\\"],\\n        \\\"send_date\\\": [\\\"1932-09-23\\\"],\\n        \\\"sender_persons\\\": null\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"metadata\":{\"send_date\":[\"1932-09-23\"],\"letter_title\":null,\"sender_persons\":null,\"receiver_persons\":[\"Basler Rheinschiffahrt Aktiengesellschaft\"]}},\"reasoning\":null},\"native_finish_reason\":\"stop\"}],\"created\":1769312192,\"model\":\"qwen/qwen3-vl-8b-instruct\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":56,\"prompt_tokens\":1847,\"total_tokens\":1903,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":null,\"reasoning_tokens\":0,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"video_tokens\":0},\"cost\":0.00037166,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":null,\"upstream_inference_prompt_cost\":0.00033246,\"upstream_inference_completions_cost\":0.0000392}},\"provider\":\"Alibaba\"}"}, "scoring": {"f1_macro": 0.49, "f1_micro": 0.58, "cost_summary": {"total_input_tokens": 94796, "total_output_tokens": 1764, "total_tokens": 96560, "input_cost_usd": 0.00758368, "output_cost_usd": 0.000882, "total_cost_usd": 0.00846568}}, "normalized_score": 49.0}