Triple

T19899843
Position Surface form Disambiguated ID Type / Status
Subject Gunsan E478252 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Gunsan University NE NERFINISHED

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: Gunsan University | Statement: [Gunsan, hasEducationalInstitution, Gunsan University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunsan University
Context triple: [Gunsan, hasEducationalInstitution, Gunsan University]
  • A. Gunsan University chosen
    Gunsan University is a national public university in Gunsan, South Korea, offering a range of undergraduate and graduate programs across multiple disciplines.
  • B. Kyungsung University
    Kyungsung University is a private higher education institution located in Busan, South Korea, known for its programs in humanities, social sciences, arts, and media.
  • C. Gyeongsang National University
    Gyeongsang National University is a major national research university in South Korea known for its comprehensive academic programs and regional influence.
  • D. Sungkyul University
    Sungkyul University is a South Korean higher education institution known for producing alumni such as actor Wi Ha-joon.
  • E. Soonchunhyang University
    Soonchunhyang University is a private South Korean university known for its strong medical and health sciences programs and comprehensive undergraduate and graduate offerings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.