Triple

T5547650
Position Surface form Disambiguated ID Type / Status
Subject Gangneung Ice Arena E145448 entity
Predicate operator P179 FINISHED
Object City of Gangneung E445814 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: City of Gangneung | Statement: [Gangneung Ice Arena, operator, City of Gangneung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Gangneung
Context triple: [Gangneung Ice Arena, operator, City of 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. Incheon Gwangyeoksi
    Incheon Gwangyeoksi is a major metropolitan city in northwestern South Korea, known for its international airport, large seaport, and role as a key gateway to Seoul and the wider region.
  • C. Gangneung Coastal Cluster
    Gangneung Coastal Cluster is the group of venues in Gangneung, South Korea, that hosted the ice sports events for the 2018 Winter Olympics.
  • D. Dangjin
    Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
  • E. 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.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a13624e081908a790e85258d8d49 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:35 p.m.