Triple

T13544597
Position Surface form Disambiguated ID Type / Status
Subject Keio University Library E323478 entity
Predicate affiliation P10 FINISHED
Object Keio University Faculty of Science and Technology NE NERFINISHED

How this triple was built (3 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: Keio University Faculty of Science and Technology | Statement: [Keio University Library, affiliation, Keio University Faculty of Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio University Faculty of Science and Technology
Context triple: [Keio University Library, affiliation, Keio University Faculty of Science and Technology]
  • A. Tokyo University of Science Kashiwa Campus
    Tokyo University of Science Kashiwa Campus is a regional campus of the Tokyo University of Science located in the city of Kashiwa, Chiba Prefecture, Japan, offering science and technology-focused education and research facilities.
  • B. Tokyo Kasei University
    Tokyo Kasei University is a Japanese private university known for its programs in home economics, humanities, and education, located in Itabashi, Tokyo.
  • C. Yokohama National University
    Yokohama National University is a prominent Japanese national research university located in Yokohama, known for its programs in engineering, economics, business, and education.
  • D. Keio University Faculty of Business and Commerce
    Keio University Faculty of Business and Commerce is a leading Japanese academic division of Keio University specializing in business, economics, and commerce education and research.
  • E. Tokyo Keizai University
    Tokyo Keizai University is a private Japanese university known for its programs in economics, business, and social sciences.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keio University Faculty of Science and Technology
Target entity description: Keio University Faculty of Science and Technology is a major academic division of Keio University in Japan, offering a wide range of science and engineering programs and conducting advanced research in technology-related fields.
  • A. Tokyo University of Science Kashiwa Campus
    Tokyo University of Science Kashiwa Campus is a regional campus of the Tokyo University of Science located in the city of Kashiwa, Chiba Prefecture, Japan, offering science and technology-focused education and research facilities.
  • B. Tokyo Kasei University
    Tokyo Kasei University is a Japanese private university known for its programs in home economics, humanities, and education, located in Itabashi, Tokyo.
  • C. Yokohama National University
    Yokohama National University is a prominent Japanese national research university located in Yokohama, known for its programs in engineering, economics, business, and education.
  • D. Keio University Faculty of Business and Commerce
    Keio University Faculty of Business and Commerce is a leading Japanese academic division of Keio University specializing in business, economics, and commerce education and research.
  • E. Tokyo Keizai University
    Tokyo Keizai University is a private Japanese university known for its programs in economics, business, and social sciences.
  • F. None of above. chosen

Provenance (2 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:45 p.m.