Triple

T8059665
Position Surface form Disambiguated ID Type / Status
Subject Brother Walfrid E188087 entity
Predicate usedSportFor P80288 FINISHED
Object charitable fundraising 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: charitable fundraising | Statement: [Brother Walfrid, usedSportFor, charitable fundraising]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedSportFor
Context triple: [Brother Walfrid, usedSportFor, charitable fundraising]
  • A. usedInSport
    Indicates that something (such as an object, technique, or concept) is employed or utilized within the context of a particular sport.
  • B. alsoUsedForSport
    Indicates that something primarily associated with one purpose is additionally used for sporting activities or athletic purposes.
  • C. basedOnSport
    Indicates that something is determined, derived, or organized according to a particular sport or sporting activity.
  • D. primarySport
    Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
  • 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. chosen

Provenance (4 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcaa8b8819099267564b6542547 completed March 31, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69cb049cd51c8190bb3b0f503e42fa8d completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14be17208190bb51c3dfcb613f20 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:25 p.m.