Triple

T22161297
Position Surface form Disambiguated ID Type / Status
Subject Dankook University E547675 entity
Predicate locatedIn P40 FINISHED
Object Cheonan, Chungcheongnam-do, South Korea 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: Cheonan, Chungcheongnam-do, South Korea | Statement: [Dankook University, locatedIn, Cheonan, Chungcheongnam-do, South Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheonan, Chungcheongnam-do, South Korea
Context triple: [Dankook University, locatedIn, Cheonan, Chungcheongnam-do, South Korea]
  • A. Gunsan, South Korea
    Gunsan, South Korea is a coastal industrial city in North Jeolla Province known for its port, manufacturing facilities, and role as a regional transportation hub.
  • B. Ulsan, South Korea
    Ulsan, South Korea is a major industrial port city known as a global hub for automobile and ship manufacturing.
  • C. Cheonan chosen
    Cheonan is a major city in South Chungcheong Province, South Korea, known as a regional transportation hub and commercial center.
  • D. Jinju, South Korea
    Jinju, South Korea is a historic city in South Gyeongsang Province known for its riverside fortress, role in the Imjin War, and annual lantern festival.
  • E. Pohang, South Korea
    Pohang, South Korea is a coastal industrial city in North Gyeongsang Province known for its major steel industry and as the home of POSCO.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2d8064819094d27ef9f15c6a1f completed April 28, 2026, 9:44 p.m.
Created at: April 16, 2026, 8:34 p.m.