Triple

T7236602
Position Surface form Disambiguated ID Type / Status
Subject Olympic Stadium E155243 entity
Predicate hasLocationExample P69519 FINISHED
Object Pyeongchang, South Korea E413371 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: Pyeongchang, South Korea | Statement: [Olympic Stadium, hasLocationExample, Pyeongchang, South Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyeongchang, South Korea
Context triple: [Olympic Stadium, hasLocationExample, Pyeongchang, South Korea]
  • A. Pyeongchang chosen
    Pyeongchang is a county in South Korea best known internationally for hosting the 2018 Winter Olympics.
  • B. Gangneung Oval
    Gangneung Oval is a purpose-built long-track speed skating venue in Gangneung, South Korea, used for major international competitions including the 2018 Winter Olympics.
  • C. Daegu, South Korea
    Daegu, South Korea is a major city in the southeastern part of the country known for its role as an industrial, cultural, and educational center.
  • 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. Osan, South Korea
    Osan is a city in Gyeonggi Province, South Korea, known for its proximity to Osan Air Base and its role as a transportation and commercial hub south of Seoul.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6f04089408190aa20ed6767590ae1 completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc32d6c48190ae78b3d1227bb868 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.