Triple

T2769758
Position Surface form Disambiguated ID Type / Status
Subject Kansai Gaidai University E61424 entity
Predicate hasAbbreviation P43 FINISHED
Object KGU E121617 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: KGU | Statement: [Kansai Gaidai University, hasAbbreviation, KGU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KGU
Context triple: [Kansai Gaidai University, hasAbbreviation, KGU]
  • A. KGU chosen
    KGU is the commonly used abbreviation for Kobe Gakuin University, a private university located in Kobe, Japan.
  • B. GCU
    GCU is a modern public university in Glasgow, Scotland, known for its focus on social innovation, applied research, and career-oriented education.
  • C. KSU
    KSU is the vehicle registration code used on license plates for the town of Sucha Beskidzka in Poland.
  • D. RK University
    RK University is a private higher education institution located near Rajkot in the Indian state of Gujarat, offering a range of undergraduate and postgraduate programs across disciplines such as engineering, management, pharmacy, and sciences.
  • E. KU
    KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.