{"_id": {"$oid": "6aa7a68ebf5ce6c3c2c5759f"}, "test_id": "T1727", "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": "qwen/qwen3.8-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\":[]}", "model": "qwen/qwen3.8-flash", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 2984, "output_tokens": 1130, "total_tokens": 4114, "cached_tokens": 512, "input_cost_usd": 0.0004476, "output_cost_usd": 0.0005311, "estimated_cost_usd": 0.0009786999999999999}, "duration": 13.309048175811768, "timestamp": "2026-09-08T11:28:09.816727", "parsed": {"company": {"transcription": "Abegg & Cie."}, "location": {"transcription": "Z\u00fcrich"}, "b_id": {"transcription": "B.51.322.GB.266"}, "date": "", "information": []}, "conversation_id": "874101b6-11ad-48a6-ad29-2ddb89b555ac", "score": {"fuzzy": 0.8}, "raw_response": "{\"id\":\"gen-1788859676-kKvHXKTyEfjHFTte9k7O\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"company\\\": {\\n    \\\"transcription\\\": \\\"Abegg & Cie.\\\"\\n  },\\n  \\\"location\\\": {\\n    \\\"transcription\\\": \\\"Z\u00fcrich\\\"\\n  },\\n  \\\"b_id\\\": {\\n    \\\"transcription\\\": \\\"B.51.322.GB.266\\\"\\n  },\\n  \\\"date\\\": \\\"\\\",\\n  \\\"information\\\": []\\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\":[]},\"reasoning\":\"Thinking Process:\\n1.  **Analyze the Request:** The user wants me to act as an archivist and extract specific data from an index card image into a provided JSON schema.\\n    *   `company`: Primary company name (top-left).\\n    *   `location`: City or town (often following company name).\\n    *   `b_id`: Identifier code (top-right, starting with \\\"B.\\\").\\n    *   `date`: Stamped dates in YYYY-MM-DD format (empty string if none).\\n    *   `information`: List of text blocks from the main body.\\n\\n2.  **Analyze the Image:**\\n    *   Top left text: \\\"A b e g g & C i e .\\\" (Abegg & Cie.)\\n    *   Middle top text: \\\"Z \u00fc r i c h\\\" (Z\u00fcrich)\\n    *   Top right text: \\\"B . 5 1 . 3 2 2 . G B . 2 6 6\\\" (B.51.322.GB.266)\\n    *   Main body: Empty (just ruled lines).\\n    *   Stamped dates: None visible.\\n\\n3.  **Map to Schema:**\\n    *   `company`: {\\\"transcription\\\": \\\"Abegg & Cie.\\\"} (Standardizing spacing slightly or keeping exact spacing? Usually, transcriptions capture the text. Let's keep standard spacing for readability unless strict character-by-character is implied. \\\"A b e g g & C i e .\\\" is typed with wide spacing. I'll transcribe it as \\\"Abegg & Cie.\\\" or \\\"A b e g g & C i e .\\\". Let's stick to standard spacing for company names as it's the intended text, but wait, the prompt asks for \\\"transcription\\\". Let's look at similar examples. Often transcriptions normalize spacing. Let's use \\\"Abegg & Cie.\\\" as it's the actual name.) Let's re-read the prompt: \\\"Analyze the provided image and extract...\\\". I will use \\\"Abegg & Cie.\\\".\\n    *   `location`: {\\\"transcription\\\": \\\"Z\u00fcrich\\\"} (or \\\"Z \u00fc r i c h\\\". I'll use \\\"Z\u00fcrich\\\").\\n    *   `b_id`: {\\\"transcription\\\": \\\"B.51.322.GB.266\\\"} (or \\\"B . 5 1 . 3 2 2 . G B . 2 6 6\\\". I'll use standard spacing \\\"B.51.322.GB.266\\\").\\n    *   `date`: \\\"\\\" (No dates found).\\n    *   `information`: [] (Empty list since the main body is empty).\\n\\n4.  **Refine Transcriptions:**\\n    *   Company: \\\"Abegg & Cie.\\\"\\n    *   Location: \\\"Z\u00fcrich\\\"\\n    *   B_ID: \\\"B.51.322.GB.266\\\"\\n    *   Information: The card is blank below the header line. The schema requires an array of objects with \\\"transcription\\\" keys. If empty, it should be an empty array `[]`.\\n\\n5.  **Construct JSON:**\\n    ```json\\n    {\\n      \\\"company\\\": {\\n        \\\"transcription\\\": \\\"Abegg & Cie.\\\"\\n      },\\n      \\\"location\\\": {\\n        \\\"transcription\\\": \\\"Z\u00fcrich\\\"\\n      },\\n      \\\"b_id\\\": {\\n        \\\"transcription\\\": \\\"B.51.322.GB.266\\\"\\n      },\\n      \\\"date\\\": \\\"\\\",\\n      \\\"information\\\": []\\n    }\\n    ```\\n\\n6.  **Double-check against constraints:**\\n    *   Valid JSON object? Yes.\\n    *   Matches schema? Yes.\\n    *   No explanatory text outside JSON? Yes.\\n\\n    *Self-Correction on spacing:* The typed text has wide spaces (\\\"A b e g g & C i e .\\\", \\\"Z \u00fc r i c h\\\", \\\"B . 5 1 . 3 2 2 . G B . 2 6 6\\\"). Transcribing it normally (\\\"Abegg & Cie.\\\") is standard practice for extracting data unless strict diplomatic transcription is requested. I will provide the normalized text for better data utility.\\n\\n    Let's check the schema again for `information`: `\\\"information\\\": {\\\"anyOf\\\": [{\\\"items\\\": {\\\"$ref\\\": \\\"#/$defs/Entry\\\"}, \\\"type\\\": \\\"array\\\"}, {\\\"type\\\": \\\"null\\\"}], \\\"title\\\": \\\"Information\\\"}`. An empty array `[]` is valid.\\n\\n    Let's re-verify the text.\\n    \\\"Abegg & Cie.\\\"\\n    \\\"Z\u00fcrich\\\"\\n    \\\"B.51.322.GB.266\\\"\\n    No dates.\\n    No body text.\\n\\n    Looks solid.\\n\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"Thinking Process:\\n1.  **Analyze the Request:** The user wants me to act as an archivist and extract specific data from an index card image into a provided JSON schema.\\n    *   `company`: Primary company name (top-left).\\n    *   `location`: City or town (often following company name).\\n    *   `b_id`: Identifier code (top-right, starting with \\\"B.\\\").\\n    *   `date`: Stamped dates in YYYY-MM-DD format (empty string if none).\\n    *   `information`: List of text blocks from the main body.\\n\\n2.  **Analyze the Image:**\\n    *   Top left text: \\\"A b e g g & C i e .\\\" (Abegg & Cie.)\\n    *   Middle top text: \\\"Z \u00fc r i c h\\\" (Z\u00fcrich)\\n    *   Top right text: \\\"B . 5 1 . 3 2 2 . G B . 2 6 6\\\" (B.51.322.GB.266)\\n    *   Main body: Empty (just ruled lines).\\n    *   Stamped dates: None visible.\\n\\n3.  **Map to Schema:**\\n    *   `company`: {\\\"transcription\\\": \\\"Abegg & Cie.\\\"} (Standardizing spacing slightly or keeping exact spacing? Usually, transcriptions capture the text. Let's keep standard spacing for readability unless strict character-by-character is implied. \\\"A b e g g & C i e .\\\" is typed with wide spacing. I'll transcribe it as \\\"Abegg & Cie.\\\" or \\\"A b e g g & C i e .\\\". Let's stick to standard spacing for company names as it's the intended text, but wait, the prompt asks for \\\"transcription\\\". Let's look at similar examples. Often transcriptions normalize spacing. Let's use \\\"Abegg & Cie.\\\" as it's the actual name.) Let's re-read the prompt: \\\"Analyze the provided image and extract...\\\". I will use \\\"Abegg & Cie.\\\".\\n    *   `location`: {\\\"transcription\\\": \\\"Z\u00fcrich\\\"} (or \\\"Z \u00fc r i c h\\\". I'll use \\\"Z\u00fcrich\\\").\\n    *   `b_id`: {\\\"transcription\\\": \\\"B.51.322.GB.266\\\"} (or \\\"B . 5 1 . 3 2 2 . G B . 2 6 6\\\". I'll use standard spacing \\\"B.51.322.GB.266\\\").\\n    *   `date`: \\\"\\\" (No dates found).\\n    *   `information`: [] (Empty list since the main body is empty).\\n\\n4.  **Refine Transcriptions:**\\n    *   Company: \\\"Abegg & Cie.\\\"\\n    *   Location: \\\"Z\u00fcrich\\\"\\n    *   B_ID: \\\"B.51.322.GB.266\\\"\\n    *   Information: The card is blank below the header line. The schema requires an array of objects with \\\"transcription\\\" keys. If empty, it should be an empty array `[]`.\\n\\n5.  **Construct JSON:**\\n    ```json\\n    {\\n      \\\"company\\\": {\\n        \\\"transcription\\\": \\\"Abegg & Cie.\\\"\\n      },\\n      \\\"location\\\": {\\n        \\\"transcription\\\": \\\"Z\u00fcrich\\\"\\n      },\\n      \\\"b_id\\\": {\\n        \\\"transcription\\\": \\\"B.51.322.GB.266\\\"\\n      },\\n      \\\"date\\\": \\\"\\\",\\n      \\\"information\\\": []\\n    }\\n    ```\\n\\n6.  **Double-check against constraints:**\\n    *   Valid JSON object? Yes.\\n    *   Matches schema? Yes.\\n    *   No explanatory text outside JSON? Yes.\\n\\n    *Self-Correction on spacing:* The typed text has wide spaces (\\\"A b e g g & C i e .\\\", \\\"Z \u00fc r i c h\\\", \\\"B . 5 1 . 3 2 2 . G B . 2 6 6\\\"). Transcribing it normally (\\\"Abegg & Cie.\\\") is standard practice for extracting data unless strict diplomatic transcription is requested. I will provide the normalized text for better data utility.\\n\\n    Let's check the schema again for `information`: `\\\"information\\\": {\\\"anyOf\\\": [{\\\"items\\\": {\\\"$ref\\\": \\\"#/$defs/Entry\\\"}, \\\"type\\\": \\\"array\\\"}, {\\\"type\\\": \\\"null\\\"}], \\\"title\\\": \\\"Information\\\"}`. An empty array `[]` is valid.\\n\\n    Let's re-verify the text.\\n    \\\"Abegg & Cie.\\\"\\n    \\\"Z\u00fcrich\\\"\\n    \\\"B.51.322.GB.266\\\"\\n    No dates.\\n    No body text.\\n\\n    Looks solid.\\n\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1788859676,\"model\":\"qwen/qwen3.8-flash\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":1130,\"prompt_tokens\":2984,\"total_tokens\":4114,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":1039,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":512,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.000910092,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.000910092,\"upstream_inference_prompt_cost\":0.000378992,\"upstream_inference_completions_cost\":0.0005311}},\"provider\":\"Alibaba\"}"}, "scoring": {"fuzzy": 0.9249068265244055, "cost_summary": {"total_input_tokens": 96420, "total_output_tokens": 65726, "total_tokens": 162146, "input_cost_usd": 0.011815949999999995, "output_cost_usd": 0.029604829999999995, "total_cost_usd": 0.045182700000000006}}, "pricing": {"bucket_date": "2026-09-08", "age_days": 0, "input_price_per_million": 0.15, "output_price_per_million": 0.47}, "timing": {"total_response_s": 1505.49, "mean_response_s": 45.62, "slowest_response_s": 340.75, "inputs_timed": 33, "inputs_stored": 33, "span_s": 359.68}, "normalized_score": 92.49068265244055}