Triple

T22473464
Position Surface form Disambiguated ID Type / Status
Subject Na Hong-jin E555563 entity
Predicate education P5 FINISHED
Object Hanyang 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: Hanyang University | Statement: [Na Hong-jin, education, Hanyang University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanyang University
Context triple: [Na Hong-jin, education, Hanyang University]
  • A. Hanyang University chosen
    Hanyang University is a major private research university in Seoul, South Korea, renowned for its engineering, technology, and industry-linked education and innovation.
  • B. Hansung University
    Hansung University is a private higher education institution in Seoul, South Korea, known for its programs in humanities, social sciences, design, and information technology.
  • C. Chosun University
    Chosun University is a major private research university in South Korea known for its comprehensive academic programs and regional influence.
  • D. Kyonggi University
    Kyonggi University is a private South Korean university known for its main campus in Suwon and a broad range of undergraduate and graduate programs.
  • E. Kyung Hee University
    Kyung Hee University is a prestigious private research university in South Korea known for its comprehensive academic programs and influential alumni in politics, culture, and academia.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2034c81909d1263f2ed114b46 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.