Triple

T5486073
Position Surface form Disambiguated ID Type / Status
Subject Saurashtra Cricket Association Stadium E123583 entity
Predicate suitableForDayNightMatches P30568 FINISHED
Object yes LITERAL 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: yes | Statement: [Saurashtra Cricket Association Stadium, suitableForDayNightMatches, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: suitableForDayNightMatches
Context triple: [Saurashtra Cricket Association Stadium, suitableForDayNightMatches, yes]
  • A. isSuitableFor
    Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
  • B. hasNightRaceLighting chosen
    Indicates that the subject facility or venue is equipped with lighting suitable for hosting events or activities at night.
  • C. alsoWornIn
    Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
  • D. wornFor
    Indicates that an item is worn for a particular purpose, function, or occasion.
  • E. alsoUsedForSport
    Indicates that something primarily associated with one purpose is additionally used for sporting activities or athletic purposes.
  • F. None of above.

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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:10 p.m.