Triple

T5984776
Position Surface form Disambiguated ID Type / Status
Subject XXIII Olympic Winter Games E133199 entity
Predicate mainIndoorVenueCity P15624 FINISHED
Object Gangneung E445814 NE FINISHED

How this triple was built (3 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: Gangneung | Statement: [XXIII Olympic Winter Games, mainIndoorVenueCity, Gangneung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gangneung
Context triple: [XXIII Olympic Winter Games, mainIndoorVenueCity, Gangneung]
  • A. Gangneung chosen
    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.
  • B. 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.
  • C. Pohang
    Pohang is a major industrial and port city in South Korea, best known as the home of the global steelmaker POSCO and a key hub on the country’s east coast.
  • D. Jincheon
    Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
  • E. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: mainIndoorVenueCity
Context triple: [XXIII Olympic Winter Games, mainIndoorVenueCity, Gangneung]
  • A. typicalVenueMetroArea
    Indicates the metropolitan area where an entity is most commonly or characteristically located or hosted.
  • B. typicalVenueCity chosen
    Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
  • C. cityOfVenue
    Indicates the city in which a given venue is located.
  • D. typicalVenues
    Indicates that the specified locations are common or standard places where the associated activity, event, or entity usually occurs or is hosted.
  • E. venueComplex
    Indicates that one venue is a complex or larger facility that contains or encompasses another venue.
  • F. None of above.

Provenance (4 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_69c1084e9ca481909f585b3d19991a60 completed March 23, 2026, 9:30 a.m.
PD Predicate disambiguation batch_69c049de98648190962b14fd341c93da completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:04 p.m.