Triple

T23163345
Position Surface form Disambiguated ID Type / Status
Subject GECR E578645 entity
Predicate hasAmateurActivitiesIn P7462 FINISHED
Object other sports 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: other sports | Statement: [GECR, hasAmateurActivitiesIn, other sports]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAmateurActivitiesIn
Context triple: [GECR, hasAmateurActivitiesIn, other sports]
  • A. hasAmateurLevel
    Indicates that an entity possesses an amateur level of skill, experience, or proficiency in a given activity or domain.
  • B. hasRecreationActivity
    Indicates that an entity provides, includes, or is associated with a particular recreational activity.
  • C. isAmateur chosen
    Indicates that an entity engages in an activity or field on a non-professional, typically unpaid or hobbyist basis.
  • D. amateurParticipationAllowed
    Indicates that non-professional (amateur) individuals are permitted to take part in the specified activity or event.
  • E. hasNotableHobby
    Indicates that an entity engages in a hobby that is distinctive, remarkable, or otherwise noteworthy.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f29be30819091e18551044a98f3 completed April 29, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:02 p.m.