Triple

T9918602
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, The University of Tokyo E185932 entity
Predicate nativeName P15 FINISHED
Object 東京大学工学部 E185932 NE FINISHED

How this triple was built (2 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: 東京大学工学部 | Statement: [Faculty of Engineering, The University of Tokyo, nativeName, 東京大学工学部]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 東京大学工学部
Context triple: [Faculty of Engineering, The University of Tokyo, nativeName, 東京大学工学部]
  • A. Faculty of Engineering, The University of Tokyo chosen
    The Faculty of Engineering at the University of Tokyo is a leading Japanese engineering faculty renowned for its cutting-edge research and education across a wide range of engineering disciplines.
  • B. Tokyo Institute of Technology
    Tokyo Institute of Technology is a leading Japanese national research university renowned for its strengths in science, engineering, and technology.
  • C. Tokyo University of Technology
    Tokyo University of Technology is a private Japanese university specializing in science, engineering, and design disciplines, located in Hachiōji, Tokyo.
  • D. 京都大学工学部建築学科
    京都大学工学部建築学科は、日本を代表する国立大学である京都大学の工学部に属し、多くの著名な建築家や研究者を輩出してきた名門建築教育・研究機関である。
  • E. 東京大学公共政策大学院
    東京大学公共政策大学院 is the University of Tokyo’s graduate school specializing in public policy education and research, training professionals for careers in government, international organizations, and related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5685a908190ab3e55b9bf9613f6 completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dec42848190ab9f8663155df83f completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.