Triple

T21452120
Position Surface form Disambiguated ID Type / Status
Subject University of Miyazaki E529235 entity
Predicate governedBy P46 FINISHED
Object President of the University of Miyazaki 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: President of the University of Miyazaki | Statement: [University of Miyazaki, governedBy, President of the University of Miyazaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: President of the University of Miyazaki
Context triple: [University of Miyazaki, governedBy, President of the University of Miyazaki]
  • A. President of Tohoku University
    The President of Tohoku University is the chief executive and academic leader of Tohoku University, one of Japan’s leading national research universities.
  • B. President of The University of Tokyo
    The President of The University of Tokyo is the top academic and administrative leader of Japan’s premier national research university, responsible for its overall governance, strategy, and international representation.
  • C. Chancellor of Jiwaji University
    The Chancellor of Jiwaji University is the ceremonial head and highest-ranking official of the university, typically responsible for presiding over convocations and providing overall guidance to the institution.
  • D. Mayor of Uruma
    The Mayor of Uruma is the elected head of the city government of Uruma in Okinawa Prefecture, responsible for local administration, policy implementation, and representing the municipality.
  • E. Mayor of Wakayama
    The Mayor of Wakayama is the elected head of the municipal government of Wakayama City in Japan, responsible for overseeing local administration and public services.
  • 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: President of the University of Miyazaki
Target entity description: The President of the University of Miyazaki is the chief executive and academic leader responsible for overseeing the university’s administration, strategic direction, and educational and research activities.
  • A. President of Tohoku University
    The President of Tohoku University is the chief executive and academic leader of Tohoku University, one of Japan’s leading national research universities.
  • B. President of The University of Tokyo
    The President of The University of Tokyo is the top academic and administrative leader of Japan’s premier national research university, responsible for its overall governance, strategy, and international representation.
  • C. Chancellor of Jiwaji University
    The Chancellor of Jiwaji University is the ceremonial head and highest-ranking official of the university, typically responsible for presiding over convocations and providing overall guidance to the institution.
  • D. Mayor of Uruma
    The Mayor of Uruma is the elected head of the city government of Uruma in Okinawa Prefecture, responsible for local administration, policy implementation, and representing the municipality.
  • E. Mayor of Wakayama
    The Mayor of Wakayama is the elected head of the municipal government of Wakayama City in Japan, responsible for overseeing local administration and public services.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d426d88190ae87ae9fac9c30a0 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:07 p.m.