Triple

T6774670
Position Surface form Disambiguated ID Type / Status
Subject Ulsan-gwangyeoksi E155125 entity
Predicate hasUniversity P113 FINISHED
Object University of Ulsan E170145 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: University of Ulsan | Statement: [Ulsan-gwangyeoksi, hasUniversity, University of Ulsan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Ulsan
Context triple: [Ulsan-gwangyeoksi, hasUniversity, University of Ulsan]
  • A. University of Ulsan chosen
    The University of Ulsan is a major private research university in Ulsan, South Korea, known for its strong engineering and industrial cooperation programs.
  • B. Sungkyul University
    Sungkyul University is a South Korean higher education institution known for producing alumni such as actor Wi Ha-joon.
  • C. Incheon National University
    Incheon National University is a national public research university in Incheon, South Korea, known for its focus on global education and industry-academic cooperation.
  • D. Keimyung University
    Keimyung University is a private Christian university in Daegu, South Korea, known for its international programs and picturesque campus.
  • E. 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.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24ddaf08190baffbff991eeb458 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d36cc4048190b4ce8beb4c4f7957 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:13 p.m.