Triple

T5599719
Position Surface form Disambiguated ID Type / Status
Subject 神戸大学 E147086 entity
Predicate hasGraduateSchool P113 FINISHED
Object 法学研究科
法学研究科は、神戸大学に設置された法学分野の高度な専門教育と研究を行う大学院組織である。
 E536854 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 法学研究科 | Statement: [神戸大学, hasGraduateSchool, 法学研究科]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 法学研究科
Context triple: [神戸大学, hasGraduateSchool, 法学研究科]
  • A. 法学研究科
    法学研究科は、東北大学に設置された法学分野の高度な専門教育と研究を行う大学院組織である。
  • B. 法学部
    法学部は、法律や政治などに関する専門的知識と法的思考力を養成することを目的とした大学の学部である。
  • C. Faculty of Political Science and Law
    The Faculty of Political Science and Law is an academic division of the Université du Québec à Montréal specializing in education and research in political science, public affairs, and legal studies.
  • D. Institute of Law and Political Science
    The Institute of Law and Political Science is an academic unit in Cambodia dedicated to higher education and research in legal studies and political science.
  • E. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of Cheikh Anta Diop University in Dakar that offers higher education and research programs in legal studies and political science.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 法学研究科
Triple: [神戸大学, hasGraduateSchool, 法学研究科]
Generated description
法学研究科は、神戸大学に設置された法学分野の高度な専門教育と研究を行う大学院組織である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 法学研究科
Target entity description: 法学研究科は、神戸大学に設置された法学分野の高度な専門教育と研究を行う大学院組織である。
  • A. 法学研究科
    法学研究科は、東北大学に設置された法学分野の高度な専門教育と研究を行う大学院組織である。
  • B. 法学部
    法学部は、法律や政治などに関する専門的知識と法的思考力を養成することを目的とした大学の学部である。
  • C. Faculty of Political Science and Law
    The Faculty of Political Science and Law is an academic division of the Université du Québec à Montréal specializing in education and research in political science, public affairs, and legal studies.
  • D. Institute of Law and Political Science
    The Institute of Law and Political Science is an academic unit in Cambodia dedicated to higher education and research in legal studies and political science.
  • E. Faculty of Law and Political Science
    The Faculty of Law and Political Science is an academic division of the University of Reims Champagne-Ardenne specializing in legal and political studies and research.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d936dc8190a2e599f1df9fdd91 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d3be1bc8190a5cdc1bf694356a6 completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04e88680c8190845723f52c060fb7 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7856848190a835c3ee0a32f649 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:38 p.m.