{"_id": {"$oid": "6aa7a68ebf5ce6c3c2c5758f"}, "test_id": "T1712", "benchmark": "blacklist_cards", "date": "2026-09-08", "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": "openrouter", "model": "z-ai/glm-5.3-flash", "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\":[{\"transcription\":\"\"}]}", "model": "z-ai/glm-5.3-flash", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 3313, "output_tokens": 71, "total_tokens": 3384, "input_cost_usd": 0.000248475, "output_cost_usd": 1.775e-05, "estimated_cost_usd": 0.00026622500000000003}, "duration": 7.164155721664429, "timestamp": "2026-09-08T10:07:06.747344", "parsed": {"company": {"transcription": "Abegg & Cie."}, "location": {"transcription": "Z\u00fcrich"}, "b_id": {"transcription": "B.51.322.GB.266"}, "date": "", "information": [{"transcription": ""}]}, "conversation_id": "95b85467-016d-4aef-ac08-3c24b9226a0c", "score": {"fuzzy": 0.8}, "raw_response": "{\"id\":\"gen-1788854819-AT1JTg7GoMjCDXRXGrah\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"company\\\": {\\\"transcription\\\": \\\"Abegg & Cie.\\\"},\\n  \\\"location\\\": {\\\"transcription\\\": \\\"Z\u00fcrich\\\"},\\n  \\\"b_id\\\": {\\\"transcription\\\": \\\"B.51.322.GB.266\\\"},\\n  \\\"date\\\": \\\"\\\",\\n  \\\"information\\\": [\\n    {\\\"transcription\\\": \\\"\\\"}\\n  ]\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"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\":[{\"transcription\":\"\"}]},\"reasoning\":null},\"native_finish_reason\":\"stop\"}],\"created\":1788854819,\"model\":\"z-ai/glm-5.3-flash\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":71,\"prompt_tokens\":3313,\"total_tokens\":3384,\"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\":0.00035615,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00035615,\"upstream_inference_prompt_cost\":0.0003313,\"upstream_inference_completions_cost\":0.00002485}},\"provider\":\"Wafer\"}"}, "scoring": {"fuzzy": 0.9252682605486946, "cost_summary": {"total_input_tokens": 109888, "total_output_tokens": 3972, "total_tokens": 113860, "input_cost_usd": 0.008241599999999998, "output_cost_usd": 0.000993, "total_cost_usd": 0.0092346}}, "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": 316.67, "mean_response_s": 9.6, "slowest_response_s": 110.09, "inputs_timed": 33, "inputs_stored": 33, "span_s": 124.71}, "normalized_score": 92.52682605486946}