Triple

T21777772
Position Surface form Disambiguated ID Type / Status
Subject AWG E537626 entity
Predicate standsFor P590 FINISHED
Object Asian Winter Games 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: Asian Winter Games | Statement: [AWG, standsFor, Asian Winter Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asian Winter Games
Context triple: [AWG, standsFor, Asian Winter Games]
  • A. Asian Winter Games chosen
    The Asian Winter Games is a multi-sport international event featuring winter sports competitions among athletes from countries across Asia.
  • B. East Asian Games
    The East Asian Games were a regional multi-sport event featuring athletes from East Asian countries, held periodically under the auspices of the East Asian Games Association.
  • C. Asian Games
    The Asian Games is a major multi-sport event held every four years, featuring athletes from across Asia competing in a wide range of Olympic and non-Olympic sports.
  • D. 2011 Asian Winter Games
    The 2011 Asian Winter Games was a multi-sport winter event for Asian nations held in Kazakhstan, featuring competitions in various ice and snow disciplines.
  • E. 2017 Asian Winter Games
    The 2017 Asian Winter Games were a multi-sport winter event for Asian athletes held in Sapporo and Obihiro, Japan, featuring competitions in sports such as skiing, skating, and ice hockey.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462b094c81908207073c278a58fe completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.