{"_id": {"$oid": "6ac4c7b6164e0f17c0b239f3"}, "test_id": "T1847", "benchmark": "blacklist_cards", "date": "2026-09-27", "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": "openai", "model": "gpt-6-luna", "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": {"text": "{\"company\":{\"transcription\":\"Abegg & Cie.\"},\"location\":{\"transcription\":\"Z\u00fcrich\"},\"b_id\":{\"transcription\":\"B.51.322.GB.266\"},\"date\":\"\",\"information\":[]}", "model": "gpt-6-luna", "provider": "openai", "finish_reason": "stop", "usage": {"input_tokens": 3277, "output_tokens": 103, "total_tokens": 3380, "reasoning_tokens": 0, "cached_tokens": 1792, "input_cost_usd": 0.0003277, "output_cost_usd": 5.15e-05, "reasoning_cost_usd": 0.0, "estimated_cost_usd": 0.0003792}, "duration": 2.5592212677001953, "timestamp": "2026-09-27T14:05:49.133247", "parsed": {"company": {"transcription": "Abegg & Cie."}, "location": {"transcription": "Z\u00fcrich"}, "b_id": {"transcription": "B.51.322.GB.266"}, "date": "", "information": []}, "conversation_id": "82e93550-0622-496c-9de1-0cfbb195ebd5", "score": {"fuzzy": 0.8, "field_scores": {"b_id.transcription": {"response": "B.51.322.GB.266", "ground_truth": "B.51.322.GB.266", "score": 1.0}, "company.transcription": {"response": "Abegg & Cie.", "ground_truth": "Abegg & Cie.", "score": 1.0}, "date": {"response": "", "ground_truth": "", "score": 1.0}, "information": {"response": [], "ground_truth": "", "score": 0.0}, "location.transcription": {"response": "Z\u00fcrich", "ground_truth": "Z\u00fcrich", "score": 1.0}}}, "raw_response": "{\"id\":\"chatcmpl-EShvXNHMfLEYr1wpEYvOPeroOLIMu\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\\"company\\\":{\\\"transcription\\\":\\\"Abegg & Cie.\\\"},\\\"location\\\":{\\\"transcription\\\":\\\"Z\u00fcrich\\\"},\\\"b_id\\\":{\\\"transcription\\\":\\\"B.51.322.GB.266\\\"},\\\"date\\\":\\\"\\\",\\\"information\\\":[]}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":[],\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"company\":{\"transcription\":\"Abegg & Cie.\"},\"location\":{\"transcription\":\"Z\u00fcrich\"},\"b_id\":{\"transcription\":\"B.51.322.GB.266\"},\"date\":\"\",\"information\":[]}}}],\"created\":1790510747,\"model\":\"gpt-6-luna\",\"object\":\"chat.completion\",\"service_tier\":\"default\",\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":103,\"prompt_tokens\":3277,\"total_tokens\":3380,\"completion_tokens_details\":{\"accepted_prediction_tokens\":0,\"audio_tokens\":0,\"reasoning_tokens\":46,\"rejected_prediction_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":1792}}}"}, "scoring": {"fuzzy": 0.892130681865471, "cost_summary": {"total_input_tokens": 108758, "total_output_tokens": 14551, "total_tokens": 123309, "input_cost_usd": 0.010875800000000007, "output_cost_usd": 0.007275500000000002, "total_cost_usd": 0.0181513}}, "pricing": {"bucket_date": "2026-09-27", "age_days": 0, "input_price_per_million": 0.1, "output_price_per_million": 0.5}, "timing": {"total_response_s": 155.09, "mean_response_s": 4.7, "slowest_response_s": 8.84, "inputs_timed": 33, "inputs_stored": 33, "span_s": 15.96}, "normalized_score": 89.21306818654709}