Triple

T24750721
Position Surface form Disambiguated ID Type / Status
Subject Japan Shooting Association E619133 entity
Predicate overseesAthletesFor P157705 FINISHED
Object Olympic Games NE NERFINISHED

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: Olympic Games | Statement: [Japan Shooting Association, overseesAthletesFor, Olympic Games]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overseesAthletesFor
Context triple: [Japan Shooting Association, overseesAthletesFor, Olympic Games]
  • A. overseesSport
    Indicates that one entity has responsibility for supervising, managing, or regulating a particular sport or sporting activity.
  • B. athletesCompeteUnder
    Indicates that athletes participate in competitions governed by a particular organization, rule set, or authority.
  • C. athletesFrom
    Indicates that one or more athletes originate from, represent, or are associated with a particular place or organization.
  • D. hasAthlete
    Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
  • E. overseesCompetition
    Indicates that one entity has responsibility for supervising, managing, or administering a competition involving another entity.
  • 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_69e2fabb349881908a13a212a0221a63 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
PDg Predicate description generation batch_69f44a3adb7c8190941572f718b3b93c completed May 1, 2026, 6:37 a.m.
Created at: April 18, 2026, 4:24 a.m.