{"_id": {"$oid": "6a671d25338dadb0be4e848b"}, "test_id": "T1368", "benchmark": "company_lists", "date": "2026-07-25", "tags": {"document-type": ["book-page"], "writing": ["printed"], "century": [20], "language": ["en", "de"], "layout": ["list"], "entry-type": ["company"], "task": ["information-extraction"]}, "contributors": ["lea_kasper", "sorin_marti"], "hidden": false, "config": {"provider": "openai", "model": "gpt-5.6-terra", "dataclass": "ListPage", "temperature": 0.5, "role_description": "You are a Historian", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "The image you are presented with stems from a digitized book containing lists of companies.\nYour task is to extract structured information about each company listed on the page.\n\nAbout the source:\n- The image stems from a trade index of the British Swiss Chamber of Commerce.\n- The image can show an alphabetical or a thematic list of companies.\n- The companies are mostly located in Switzerland and the UK.\n- The image stems from a trade index between 1925 and 1958.\n- Most pages have one column but some years have two columns.\n- The source itself is in English and German but the company names can be in English, German, French or Italian.\n\nAbout the entries:\n- Each entry describes a single company or person.\n- Alphabetical entries have filling dots between the company name and the page number. Dots and page numbers are not part of the data and should be ignored.\n- Alphabetical entries seldom to never have locations.\n- Thematic entries often have locations.\n- Thematic entries are listed under headings that describe the type of business.\n- Some thematic headings are only references to other headings, e.g. \"X, s. Y\".\n\nAbout the output:\n- Answer in valid JSON. The JSON should be an array of objects with the following fields:\n- The page ID is given as {page_id}.\n- Do not add country information, if it is not directly written with the location.\n\n{\n  \"entry_id\": \"A unique identifier for the entry, e.g. '{page_id}-1'\",\n  \"company_name\": \"The name of the company or person\",\n  \"location\": \"The location of the company, e.g. 'Zurich' or 'London, UK'. 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Schubarth & Co.\",\"location\":\"Basle\"},{\"entry_id\":\"25-17\",\"company_name\":\"Schweizerhall Ltd.\",\"location\":\"Basle\"},{\"entry_id\":\"25-18\",\"company_name\":\"Steven Brothers (Londmil) Ltd.\",\"location\":\"London E.C. 2.\"}]}", "model": "gpt-5.6-terra", "provider": "openai", "finish_reason": "stop", "usage": {"input_tokens": 3471, "output_tokens": 655, "total_tokens": 4126, "input_cost_usd": 0.008677500000000001, "output_cost_usd": 0.009825, "estimated_cost_usd": 0.0185025}, "duration": 7.649473667144775, "timestamp": "2026-07-25T20:42:39.785191", "parsed": {"page_id": "25", "entries": [{"entry_id": "25-1", "company_name": "International Trading Co.", "location": "Sheffield"}, {"entry_id": "25-2", "company_name": "Albert Isliker & Co.", "location": "Zurich"}, {"entry_id": "25-3", "company_name": "V. & W. Kaiser", "location": "Muttenz"}, {"entry_id": "25-4", "company_name": "Matiera Ltd.", "location": "Basle"}, {"entry_id": "25-5", "company_name": "A. 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