{"_id": {"$oid": "69d4eb12b877594bc5718a2f"}, "test_id": "T0347", "benchmark": "company_lists", "date": "2025-10-28", "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", "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'. If no location is given, set to null.\"\n  ]\n}\n", "results": {"provider": "openai", "model": "gpt-5", "duration": 80.686208486557, "timestamp": "2025-10-28T15:20:19.486289", "parsed": {"page_id": "{page_id}", "entries": [{"entry_id": "{page_id}-1", "company_name": "International Trading Co.", "location": "Sheffield"}, {"entry_id": "{page_id}-2", "company_name": "Albert Isliker & Co.", "location": "Zurich"}, {"entry_id": "{page_id}-3", "company_name": "V. & W. Kaiser", "location": "Muttenz"}, {"entry_id": "{page_id}-4", "company_name": "Matiera Ltd.", "location": "Basle"}, {"entry_id": "{page_id}-5", "company_name": "A. Mathys", "location": "Zurich"}, {"entry_id": "{page_id}-6", "company_name": "Medo-Chemicals Ltd.", "location": "London"}, {"entry_id": "{page_id}-7", "company_name": "Metallum Pratteln Ltd.", "location": "Pratteln, Basle"}, {"entry_id": "{page_id}-8", "company_name": "Walter Moesch & Co.", "location": "Zurich"}, {"entry_id": "{page_id}-9", "company_name": "Novavitre Ltd.", "location": "Zurich"}, {"entry_id": "{page_id}-10", "company_name": "Pl\u00fcss-Staufer Ltd.", "location": "Oftringen"}, {"entry_id": "{page_id}-11", "company_name": "Prifa Ltd.", "location": "Zurich"}, {"entry_id": "{page_id}-12", "company_name": "Hans Rahn & Co.", "location": "Zurich"}, {"entry_id": "{page_id}-13", "company_name": "Alex Ross & Co.", "location": "Manchester"}, {"entry_id": "{page_id}-14", "company_name": "Rubber Raw Materials Ltd.", "location": "Zurich"}, {"entry_id": "{page_id}-15", "company_name": "Emile Scheller & Co. Ltd.", "location": "Zurich"}, {"entry_id": "{page_id}-16", "company_name": "A. Schubarth & Co.", "location": "Basle"}, {"entry_id": "{page_id}-17", "company_name": "Schweizerhall Ltd.", "location": "Basle"}, {"entry_id": "{page_id}-18", "company_name": "Steven Brothers (Londmill) Ltd.", "location": "London"}]}, "text": "", "raw_response": {"id": "chatcmpl-CVepIsXkrFfvOHsPoLzjFSLzHPWjZ", "model": "gpt-5-2025-08-07", "choices": [{"finish_reason": "stop", "index": 0, "message": {"content": "{\"page_id\":\"{page_id}\",\"entries\":[{\"entry_id\":\"{page_id}-1\",\"company_name\":\"International Trading Co.\",\"location\":\"Sheffield\"},{\"entry_id\":\"{page_id}-2\",\"company_name\":\"Albert Isliker & Co.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-3\",\"company_name\":\"V. & W. Kaiser\",\"location\":\"Muttenz\"},{\"entry_id\":\"{page_id}-4\",\"company_name\":\"Matiera Ltd.\",\"location\":\"Basle\"},{\"entry_id\":\"{page_id}-5\",\"company_name\":\"A. Mathys\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-6\",\"company_name\":\"Medo-Chemicals Ltd.\",\"location\":\"London\"},{\"entry_id\":\"{page_id}-7\",\"company_name\":\"Metallum Pratteln Ltd.\",\"location\":\"Pratteln, Basle\"},{\"entry_id\":\"{page_id}-8\",\"company_name\":\"Walter Moesch & Co.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-9\",\"company_name\":\"Novavitre Ltd.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-10\",\"company_name\":\"Pl\u00fcss-Staufer Ltd.\",\"location\":\"Oftringen\"},{\"entry_id\":\"{page_id}-11\",\"company_name\":\"Prifa Ltd.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-12\",\"company_name\":\"Hans Rahn & Co.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-13\",\"company_name\":\"Alex Ross & Co.\",\"location\":\"Manchester\"},{\"entry_id\":\"{page_id}-14\",\"company_name\":\"Rubber Raw Materials Ltd.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-15\",\"company_name\":\"Emile Scheller & Co. Ltd.\",\"location\":\"Zurich\"},{\"entry_id\":\"{page_id}-16\",\"company_name\":\"A. Schubarth & Co.\",\"location\":\"Basle\"},{\"entry_id\":\"{page_id}-17\",\"company_name\":\"Schweizerhall Ltd.\",\"location\":\"Basle\"},{\"entry_id\":\"{page_id}-18\",\"company_name\":\"Steven Brothers (Londmill) Ltd.\",\"location\":\"London\"}]}", "role": "assistant"}}], "usage": {"prompt_tokens": 1115, "completion_tokens": 3903, "total_tokens": 5018}}, "usage": {"input_tokens": 1115, "output_tokens": 3903, "total_tokens": 5018}, "finish_reason": "stop"}, "scoring": {"f1_micro": 0.5871652349671551, "f1_macro": 0.584, "micro_precision": 0.5886524822695035, "micro_recall": 0.5856854838709677, "total_instances": 15, "total_tp": 581, "total_fp": 406, "total_fn": 411, "cost_summary": {"total_input_tokens": 16725, "total_output_tokens": 69541, "total_tokens": 86266, "input_cost_usd": 0.020906, "output_cost_usd": 0.69541, "total_cost_usd": 0.716316, "pricing_date": "2025-10-28", "input_price_per_million": 1.25, "output_price_per_million": 10.0}}, "normalized_score": 58.4}