{"_id": {"$oid": "6acf4720ef3fcc24140a8143"}, "test_id": "T1707", "benchmark": "business_letters", "date": "2026-09-08", "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": "z-ai/glm-5.3-flash", "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\":[\"1926-03-29\"],\"letter_title\":[\"null\"],\"sender_persons\":[\"null\"],\"receiver_persons\":[\"Dr. W. Krasting\"]}}", "model": "z-ai/glm-5.3-flash", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 4171, "output_tokens": 57, "total_tokens": 4228, "input_cost_usd": 0.00031282500000000003, "output_cost_usd": 1.425e-05, "estimated_cost_usd": 0.000327075}, "duration": 2.3513708114624023, "timestamp": "2026-09-08T09:45:54.766896", "parsed": {"metadata": {"send_date": ["1926-03-29"], "letter_title": ["null"], "sender_persons": ["null"], "receiver_persons": ["Dr. W. Krasting"], "document_number": "letter05"}}, "conversation_id": "83920aa1-1e0e-4cbe-90fe-609c46cbc15c", "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": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0}, "raw_response": "{\"id\":\"gen-1788853552-2iq0VSRJm2VPYbabDWHI\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"metadata\\\": {\\n        \\\"send_date\\\": [\\\"1926-03-29\\\"],\\n        \\\"letter_title\\\": [\\\"null\\\"],\\n        \\\"sender_persons\\\": [\\\"null\\\"],\\n        \\\"receiver_persons\\\": [\\\"Dr. W. Krasting\\\"]\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"metadata\":{\"send_date\":[\"1926-03-29\"],\"letter_title\":[\"null\"],\"sender_persons\":[\"null\"],\"receiver_persons\":[\"Dr. W. Krasting\"]}},\"reasoning\":null},\"native_finish_reason\":\"stop\"}],\"created\":1788853552,\"model\":\"z-ai/glm-5.3-flash\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":57,\"prompt_tokens\":4171,\"total_tokens\":4228,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":1,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.00043705,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00043705,\"upstream_inference_prompt_cost\":0.0004171,\"upstream_inference_completions_cost\":0.00001995}},\"provider\":\"Wafer\"}"}, "scoring": {"f1_macro": 0.57, "f1_micro": 0.67, "cost_summary": {"total_input_tokens": 142745, "total_output_tokens": 1772, "total_tokens": 144517, "input_cost_usd": 0.010705874999999997, "output_cost_usd": 0.0004429999999999999, "total_cost_usd": 0.011148875}}, "pricing": {"bucket_date": "2026-09-08", "age_days": 0, "input_price_per_million": 0.075, "output_price_per_million": 0.25}, "timing": {"total_response_s": 165.06, "mean_response_s": 6.6, "slowest_response_s": 27.18, "inputs_timed": 25, "inputs_stored": 25, "span_s": 29.75}, "normalized_score": 56.99999999999999}