Triple

T20796157
Position Surface form Disambiguated ID Type / Status
Subject Daegu E511913 entity
Predicate majorUniversity P315 FINISHED
Object Daegu 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: Daegu University | Statement: [Daegu, majorUniversity, Daegu University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daegu University
Context triple: [Daegu, majorUniversity, Daegu University]
  • A. Daegu University chosen
    Daegu University is a South Korean higher education institution known for its comprehensive academic programs and strong emphasis on social welfare and special education.
  • B. Dankook University
    Dankook University is a major private research university in South Korea known for its comprehensive academic programs and multiple campuses, including one in Yongin.
  • C. Dongguk University
    Dongguk University is a prominent private university in South Korea known for its Buddhist foundation and strong programs in the humanities, arts, and social sciences.
  • D. Dong-A University
    Dong-A University is a major private research university in Busan, South Korea, known for its comprehensive academic programs and multiple urban campuses.
  • E. 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.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ad6f0481909e0bab7119f10f9c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.