{"_id": {"$oid": "6a2bd2517c8509fc28cb407e"}, "test_id": "T0267", "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": "x-ai/grok-4", "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\":[\"1938-03-24\"],\"letter_title\":null,\"sender_persons\":[\"Hugo B\u00fcrkner\"],\"receiver_persons\":null}}", "model": "x-ai/grok-4", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 1459, "output_tokens": 2190, "total_tokens": 3649, "cached_tokens": 1198, "input_cost_usd": 0.004377, "output_cost_usd": 0.032850000000000004, "estimated_cost_usd": 0.037227}, "duration": 39.72493386268616, "timestamp": "2026-01-25T13:58:34.573426", "parsed": {"metadata": {"send_date": ["1938-03-24"], "letter_title": null, "sender_persons": ["Hugo B\u00fcrkner"], "receiver_persons": null, "document_number": "letter21"}}, "conversation_id": "ff7b68e0-ad8e-4cd9-98ed-c9e78fc2d5f8", "score": {"send_date_tp": 0, "send_date_fp": 1, "send_date_fn": 1, "sender_persons_tp": 0, "sender_persons_fp": 1, "sender_persons_fn": 0, "receiver_persons_tp": 0, "receiver_persons_fp": 0, "receiver_persons_fn": 0}, "raw_response": "{\"id\":\"gen-1769345875-0PObqpaT0YqoIExYxh1n\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\" {\\\"metadata\\\":{\\\"send_date\\\":[\\\"1938-03-24\\\"],\\\"letter_title\\\":null,\\\"sender_persons\\\":[\\\"Hugo B\u00fcrkner\\\"],\\\"receiver_persons\\\":null}}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"metadata\":{\"send_date\":[\"1938-03-24\"],\"letter_title\":null,\"sender_persons\":[\"Hugo B\u00fcrkner\"],\"receiver_persons\":null}},\"reasoning\":null,\"reasoning_details\":[{\"id\":\"rs_289707db-73a1-2a61-f333-ce9e5a3aabaa\",\"format\":\"xai-responses-v1\",\"index\":0,\"type\":\"reasoning.encrypted\",\"data\":\"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\"}]},\"native_finish_reason\":\"completed\"}],\"created\":1769345875,\"model\":\"x-ai/grok-4\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":2190,\"prompt_tokens\":1459,\"total_tokens\":3649,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":null,\"reasoning_tokens\":2157,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":1198,\"video_tokens\":0},\"cost\":0.0345315,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":null,\"upstream_inference_prompt_cost\":0.0016815,\"upstream_inference_completions_cost\":0.03285}},\"provider\":\"xAI\"}"}, 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