{"_id": {"$oid": "6a26c67c3572c06bc1455d67"}, "test_id": "T0880", "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": "{\"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": "{\n    \"metadata\": {\n        \"send_date\": [\n            \"1928-04-04\"\n        ],\n        \"letter_title\": [\n            null\n        ],\n        \"sender_persons\": [\n            \"Basler Personenschifffahrtsgesellschaft\"\n        ],\n        \"receiver_persons\": [\n            null\n        ]\n    }\n}", "model": "qwen3.5-flash-2026-02-23", "provider": "alibaba", "finish_reason": "stop", "usage": {"input_tokens": 5630, "output_tokens": 89, "total_tokens": 5719, "input_cost_usd": 0.000563, "output_cost_usd": 3.56e-05, "estimated_cost_usd": 0.0005986}, "duration": 6.547292709350586, "timestamp": "2026-03-25T10:18:34.357717", "parsed": {"metadata": {"send_date": ["1928-04-04"], "letter_title": [null], "sender_persons": ["Basler Personenschifffahrtsgesellschaft"], "receiver_persons": [null], "document_number": "letter24"}}, "conversation_id": "f2283608-c8f9-45e2-8205-609081d37a08", "score": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0, "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\":\"chatcmpl-a09b3fe1-e22e-96a9-bc99-9d8c06751e7d\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n    \\\"metadata\\\": {\\n        \\\"send_date\\\": [\\n            \\\"1928-04-04\\\"\\n        ],\\n        \\\"letter_title\\\": [\\n            null\\n        ],\\n        \\\"sender_persons\\\": [\\n            \\\"Basler Personenschifffahrtsgesellschaft\\\"\\n        ],\\n        \\\"receiver_persons\\\": [\\n            null\\n        ]\\n    }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"reasoning_content\":\"\"}}],\"created\":1774430314,\"model\":\"qwen3.5-flash-2026-02-23\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":89,\"prompt_tokens\":5630,\"total_tokens\":5719,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":null,\"reasoning_tokens\":null,\"rejected_prediction_tokens\":null,\"text_tokens\":89},\"prompt_tokens_details\":{\"audio_tokens\":null,\"cached_tokens\":null,\"image_tokens\":5044,\"text_tokens\":586}}}"}, "scoring": {"f1_macro": 0.54, "f1_micro": 0.52, "cost_summary": {"total_input_tokens": 280558, "total_output_tokens": 5916, "total_tokens": 286474, "input_cost_usd": 0.0280558, "output_cost_usd": 0.0023664000000000003, "total_cost_usd": 0.030422199999999993}}, "normalized_score": 54.0}