Triple

T31022691
Position Surface form Disambiguated ID Type / Status
Subject FIBA 3x3 Olympic tournament E790490 entity
Predicate foulRule P67605 FINISHED
Object team foul limit leading to penalty free throws 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: team foul limit leading to penalty free throws | Statement: [FIBA 3x3 Olympic tournament, foulRule, team foul limit leading to penalty free throws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foulRule
Context triple: [FIBA 3x3 Olympic tournament, foulRule, team foul limit leading to penalty free throws]
  • A. hasFoulType
    Indicates that an entity is associated with or characterized by a specific type or category of foul (e.g., in a game, sport, or rule system).
  • B. foulsPenalizedBy
    Indicates that a foul committed by one party is punished or sanctioned by another authority or rule-enforcing entity.
  • C. foulLimitPerPlayer
    Indicates the maximum number of fouls that any single player is allowed to commit before a penalty or disqualification occurs.
  • D. foulLimitPerTeam chosen
    Indicates the maximum number of fouls that a single team is allowed to commit within a defined game or competition context.
  • E. fouls6AndBelow
    Indicates that one entity commits a foul or infraction against another, where the total number of such fouls is six or fewer.
  • 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_69f224c811508190a7de096a5b1f5798 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6953bafb88190a860e9c68a3dd4b2 completed May 3, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69f690ef92308190903a54fc74233269 completed May 3, 2026, 12:03 a.m.
Created at: April 29, 2026, 8:58 p.m.