Triple

T5984785
Position Surface form Disambiguated ID Type / Status
Subject XXIII Olympic Winter Games E133199 entity
Predicate torchRelayEndCity P2684 FINISHED
Object Pyeongchang 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 | Statement: [XXIII Olympic Winter Games, torchRelayEndCity, Pyeongchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pyeongchang
Context triple: [XXIII Olympic Winter Games, torchRelayEndCity, Pyeongchang]
  • 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. 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.
  • D. Pyeongtaek
    Pyeongtaek is a South Korean city in Gyeonggi Province known for its major U.S. and UN military presence, including large bases such as Camp Humphreys.
  • E. Neryungri
    Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6dcaf08190bac27c7042e65e07 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1135e653481909869094063d31605 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:04 p.m.