Triple

T6616433
Position Surface form Disambiguated ID Type / Status
Subject Kyungpook National University E149362 entity
Predicate nativeName P15 FINISHED
Object 경북대학교 E149362 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: 경북대학교 | Statement: [Kyungpook National University, nativeName, 경북대학교]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 경북대학교
Context triple: [Kyungpook National University, nativeName, 경북대학교]
  • A. Kyungpook National University chosen
    Kyungpook National University is a major national research university in South Korea known for its comprehensive academic programs and strong regional influence.
  • B. Daegu University
    Daegu University is a South Korean higher education institution known for its comprehensive academic programs and strong emphasis on social welfare and special education.
  • 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. Pyeongtaek University
    Pyeongtaek University is a higher education institution located in Pyeongtaek, South Korea, offering a range of undergraduate and graduate programs.
  • E. Sungkyul University
    Sungkyul University is a South Korean higher education institution known for producing alumni such as actor Wi Ha-joon.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af57fd748190bb64f1965bab319f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbda469481908173db345ba2f216 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:57 p.m.