Triple

T38410181
Position Surface form Disambiguated ID Type / Status
Subject Ailsa Craig Common Green granite E901451 entity
Predicate notableUseInSport P5086 FINISHED
Object curling 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: curling | Statement: [Ailsa Craig Common Green granite, notableUseInSport, curling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableUseInSport
Context triple: [Ailsa Craig Common Green granite, notableUseInSport, curling]
  • A. usedInSport chosen
    Indicates that something (such as an object, technique, or concept) is employed or utilized within the context of a particular sport.
  • B. notableSportIncluded
    Indicates that a particular sport is prominently featured or included as a notable component within something, such as an event, program, or context.
  • C. notableUse
    Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
  • D. alsoUsedForSport
    Indicates that something primarily associated with one purpose is additionally used for sporting activities or athletic purposes.
  • E. usedInInternationalSportsAs
    Indicates that something serves as an official or recognized element (such as equipment, rules, or standards) within international-level sports competitions or activities.
  • 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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1c850c819088795a7ae59bdeb8 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:31 p.m.