{"_id": {"$oid": "69d4eb12b877594bc57189f0"}, "test_id": "T0331", "benchmark": "blacklist_cards", "date": "2025-10-24", "tags": {"document-type": ["index-card"], "writing": ["typed", "handwritten"], "century": [20], "language": ["de"], "entry-type": ["company"], "task": ["information-extraction"]}, "contributors": ["lea_kasper", "sorin_marti"], "hidden": false, "config": {"provider": "scicore", "model": "GLM-4.5V-FP8", "dataclass": "Card", "temperature": 0.5, "role_description": "You are a Historian", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "You are a meticulous archivist extracting data from an index card image. Analyze the provided image and extract the following information. Return the data ONLY as a valid JSON object.\n\n- \"company\": The primary company name, usually in the top-left. Exclude the location.\n- \"location\": The city or town, often following the company name.\n- \"b_id\": The identifier code, usually in the top-right, starting with \"B.\".\n- \"date\": Any stamped dates on the card in YYYY-MM-DD format. If no date is present, use an empty string.\n- \"information\": A list of text blocks from the main body of the card. Each block should be a separate string in the list. Maintain line breaks with \\\\n.\n\nHere is the required JSON format:\n{\n  \"company\": {\"transcription\": \"\"},\n  \"location\": {\"transcription\": \"\"},\n  \"b_id\": {\"transcription\": \"\"},\n  \"date\": \"\",\n  \"information\": [\n    {\"transcription\": \"\"}\n  ]\n}\n\nIf you cannot find a value for a field, leave its transcription value as an empty string. Do not add any explanatory text outside of the JSON object.", "results": {"provider": "scicore", "model": "GLM-4.5V-FP8", "timestamp": "2025-10-24T14:43:46.215129", "text": "", "error": "APITimeoutError", "error_message": "Request timed out.", "usage": {}, "finish_reason": "stop"}, "scoring": {"fuzzy": 0.15353535353535355, "cost_summary": {"total_input_tokens": 0, "total_output_tokens": 0, "total_tokens": 0, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "total_cost_usd": 0.0, "pricing_date": "2025-10-24", "input_price_per_million": 0.0, "output_price_per_million": 0.0}}, "normalized_score": 15.353535353535355}