Triple

T22703181
Position Surface form Disambiguated ID Type / Status
Subject Pyeongchang County E561376 entity
Predicate administrativeCenter P1474 FINISHED
Object Pyeongchang-eup 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: Pyeongchang-eup | Statement: [Pyeongchang County, administrativeCenter, Pyeongchang-eup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyeongchang-eup
Context triple: [Pyeongchang County, administrativeCenter, Pyeongchang-eup]
  • A. Pyeongchang-eup chosen
    Pyeongchang-eup is the main urban township and administrative center of Pyeongchang County in Gangwon Province, South Korea.
  • B. Pyeongchang-dong
    Pyeongchang-dong is a residential neighborhood in northern Seoul, South Korea, known for its hilly terrain, upscale homes, and numerous art galleries and cultural institutions.
  • C. Pyeongchang County
    Pyeongchang County is a mountainous region in South Korea best known internationally for hosting the 2018 Winter Olympics.
  • D. Gangneung
    Gangneung is a coastal city in South Korea’s Gangwon Province, known for its beaches, cultural festivals, and role as a host city during the 2018 Pyeongchang Winter Olympics.
  • E. Geumwang-eup
    Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.