{"_id": {"$oid": "69d4eb12b877594bc5718d37"}, "test_id": "T0882", "benchmark": "business_letters", "date": "2026-03-25", "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": "alibaba", "model": "qwen3.5-flash-2026-02-23", "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\": false, \"skip_non_signatures\": true, \"base_url\": \"https://ws-wkjpbv6ov7sqlgqe.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1\"}", "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\":[\"1932-12-19\"],\"letter_title\":[\"Betr. Personenschiffahrt\"],\"sender_persons\":[\"Basler Rheinschiffahrt Aktiengesellschaft\"],\"receiver_persons\":[\"Dr.M.Vischer - von Planta\"]}}", "model": "qwen3.5-flash-2026-02-23", "provider": "alibaba", "finish_reason": "stop", "usage": {"input_tokens": 3108, "output_tokens": 107, "total_tokens": 3215, "input_cost_usd": 0.0003108, "output_cost_usd": 4.2800000000000004e-05, "estimated_cost_usd": 0.00035360000000000003}, "duration": 6.735973834991455, "timestamp": "2026-03-25T10:35:34.556460", "parsed": {"metadata": {"send_date": ["1932-12-19"], "letter_title": ["Betr. Personenschiffahrt"], "sender_persons": ["Basler Rheinschiffahrt Aktiengesellschaft"], "receiver_persons": ["Dr.M.Vischer - von Planta"], "document_number": "letter60"}}, "conversation_id": "99ced110-491a-4257-878d-4ce1188ba72f", "score": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0, "sender_persons_tp": 0, "sender_persons_fp": 1, "sender_persons_fn": 2, "receiver_persons_tp": 0, "receiver_persons_fp": 1, "receiver_persons_fn": 1}, "raw_response": "{\"id\":\"chatcmpl-d1de961e-0f3c-925d-acec-d158e0024a64\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"metadata\\\": {\\n        \\\"send_date\\\": [\\n            \\\"1932-12-19\\\"\\n        ],\\n        \\\"letter_title\\\": [\\n            \\\"Betr. Personenschiffahrt\\\"\\n        ],\\n        \\\"sender_persons\\\": [\\n            \\\"Basler Rheinschiffahrt Aktiengesellschaft\\\"\\n        ],\\n        \\\"receiver_persons\\\": [\\n            \\\"Dr.M.Vischer - von Planta\\\"\\n        ]\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"reasoning_content\":\"\"}}],\"created\":1774431335,\"model\":\"qwen3.5-flash-2026-02-23\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":107,\"prompt_tokens\":3108,\"total_tokens\":3215,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":null,\"reasoning_tokens\":null,\"rejected_prediction_tokens\":null,\"text_tokens\":107},\"prompt_tokens_details\":{\"audio_tokens\":null,\"cached_tokens\":null,\"image_tokens\":2522,\"text_tokens\":586}}}"}, "scoring": {"f1_macro": 0.57, "f1_micro": 0.51, "cost_summary": {"total_input_tokens": 177638, "total_output_tokens": 3323, "total_tokens": 180961, "input_cost_usd": 0.0177638, "output_cost_usd": 0.0013292, "total_cost_usd": 0.019092999999999995}}, "normalized_score": 56.99999999999999}