Triple

T19986587
Position Surface form Disambiguated ID Type / Status
Subject Anup Kumar E493947 entity
Predicate participatedIn P149 FINISHED
Object 2010 Asian 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: 2010 Asian Games | Statement: [Anup Kumar, participatedIn, 2010 Asian Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2010 Asian Games
Context triple: [Anup Kumar, participatedIn, 2010 Asian Games]
  • A. 2010 Asian Games chosen
    The 2010 Asian Games were a major multi-sport event held in Guangzhou, China, featuring athletes from across Asia competing in a wide range of Olympic and regional sports.
  • B. 2006 Asian Games
    The 2006 Asian Games were a major multi-sport event held in Doha, Qatar, featuring athletes from across Asia competing in a wide range of disciplines.
  • C. 2002 Asian Games
    The 2002 Asian Games were a major multi-sport event for athletes from across Asia, held in Busan, South Korea.
  • D. Asian Games Incheon 2014
    Asian Games Incheon 2014 was the 17th edition of the continental multi-sport event for Asian nations, held in Incheon, South Korea.
  • E. 1998 Asian Games
    The 1998 Asian Games were a major multi-sport event held in Bangkok, Thailand, featuring athletes from across Asia competing in a wide range of disciplines.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d16f60c81909ba02c0a3429ecae completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:29 p.m.