Triple

T9892549
Position Surface form Disambiguated ID Type / Status
Subject GSIST E181486 entity
Predicate nativeName P15 FINISHED
Object 情報理工学系研究科
情報理工学系研究科 is a graduate school at the University of Tokyo specializing in advanced education and research in information science and technology.
E828474 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: 情報理工学系研究科 | Statement: [GSIST, nativeName, 情報理工学系研究科]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 情報理工学系研究科
Context triple: [GSIST, nativeName, 情報理工学系研究科]
  • A. 情報科学研究科
    情報科学研究科は、東北大学に設置された情報科学分野の高度な教育・研究を行う大学院研究科である。
  • B. システム情報学研究科
    システム情報学研究科は、神戸大学に設置されたシステム科学・情報科学分野の高度専門教育と研究を行う大学院研究科です。
  • C. 教育情報学研究科
    教育情報学研究科は、東北大学に設置された教育と情報技術の融合分野を専門的に研究・教育する大学院研究科である。
  • D. Faculty of Electronic and Information Systems
    The Faculty of Electronic and Information Systems is an academic division of Brest State Technical University specializing in education and research in electronics, information technologies, and related engineering fields.
  • E. School of Information Science and Engineering
    The School of Information Science and Engineering is a major academic unit of Northeastern University in China specializing in education and research in information technology, computer science, and related engineering fields.
  • 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: 情報理工学系研究科
Triple: [GSIST, nativeName, 情報理工学系研究科]
Generated description
情報理工学系研究科 is a graduate school at the University of Tokyo specializing in advanced education and research in information science and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 情報理工学系研究科
Target entity description: 情報理工学系研究科 is a graduate school at the University of Tokyo specializing in advanced education and research in information science and technology.
  • A. 情報科学研究科
    情報科学研究科は、東北大学に設置された情報科学分野の高度な教育・研究を行う大学院研究科である。
  • B. システム情報学研究科
    システム情報学研究科は、神戸大学に設置されたシステム科学・情報科学分野の高度専門教育と研究を行う大学院研究科です。
  • C. 教育情報学研究科
    教育情報学研究科は、東北大学に設置された教育と情報技術の融合分野を専門的に研究・教育する大学院研究科である。
  • D. Faculty of Electronic and Information Systems
    The Faculty of Electronic and Information Systems is an academic division of Brest State Technical University specializing in education and research in electronics, information technologies, and related engineering fields.
  • E. School of Information Science and Engineering
    The School of Information Science and Engineering is a major academic unit of Northeastern University in China specializing in education and research in information technology, computer science, and related engineering fields.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4814a3c8190ab1fd7f755a44508 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0d984c81908408f90f156624e5 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1edaceb608190a75e738a34c6d16f completed April 5, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69d1ee5b837c8190b294a78cebf141ae completed April 5, 2026, 5:08 a.m.
Created at: March 30, 2026, 8:39 p.m.