Triple

T9085848
Position Surface form Disambiguated ID Type / Status
Subject Loughborough E217751 entity
Predicate hasSportsReputation P5150 FINISHED
Object elite sports training — 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: elite sports training | Statement: [Loughborough, hasSportsReputation, elite sports training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSportsReputation
Context triple: [Loughborough, hasSportsReputation, elite sports training]
  • A. hasSportsStatus
    Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
  • B. athleticReputation
    Indicates the recognized level or quality of someone's performance, skill, or standing in athletic or sports-related activities.
  • C. knownForSports chosen
    Indicates that an entity is recognized or notable for its involvement, achievement, or association with sports.
  • D. academicAthleticReputation
    Indicates the perceived quality or standing of an entity based on both its academic performance and athletic success.
  • E. sponsorSport
    Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9654cb3c819089fa8c0ab0841c81 completed April 1, 2026, 3:51 a.m.
PD Predicate disambiguation batch_69cc65fa79bc81908b46f05c8bba920f completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:13 p.m.