Triple

T5930546
Position Surface form Disambiguated ID Type / Status
Subject Olympic women's football tournament E131924 entity
Predicate penaltyShootoutsUsed P12108 FINISHED
Object yes 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: yes | Statement: [Olympic women's football tournament, penaltyShootoutsUsed, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: penaltyShootoutsUsed
Context triple: [Olympic women's football tournament, penaltyShootoutsUsed, yes]
  • A. usesPenaltyShootouts chosen
    Indicates that the outcome of a match or competition is decided by conducting penalty shootouts.
  • B. penaltyShootoutOccurred
    Indicates that a penalty shootout took place to decide the outcome of a match or contest.
  • C. penaltyShootoutScore
    Indicates the number of goals each side scored during a penalty shootout used to decide a tied match.
  • D. penaltyShootoutWinner
    Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
  • E. penaltyShootoutSaveBy
    Indicates that a penalty kick taken during a shootout is successfully saved or stopped by a specified goalkeeper.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c033541d108190a34d1fde2fe9dacb completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4 p.m.