Triple

T10129365
Position Surface form Disambiguated ID Type / Status
Subject College of Arts and Sciences, University of Tokyo E226295 entity
Predicate shortName P43 FINISHED
Object Komaba E194143 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: Komaba | Statement: [College of Arts and Sciences, University of Tokyo, shortName, Komaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komaba
Context triple: [College of Arts and Sciences, University of Tokyo, shortName, Komaba]
  • A. Komaba chosen
    Komaba is a district in Meguro, Tokyo, best known as the location of the University of Tokyo’s Komaba Campus and its surrounding academic and residential facilities.
  • B. Gotemba
    Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
  • C. Eniwa
    Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
  • D. Yokadouma
    Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
  • E. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd333186c819088bbf617967f24fa completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317552b6081909a2e82e554a8f96e completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9:05 p.m.