Triple

T35427435
Position Surface form Disambiguated ID Type / Status
Subject Galway Races E1023957 entity
Predicate hasSpectatorActivity P18289 FINISHED
Object betting 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: betting | Statement: [Galway Races, hasSpectatorActivity, betting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpectatorActivity
Context triple: [Galway Races, hasSpectatorActivity, betting]
  • A. hasSpectators
    Indicates that an event, activity, or occurrence is being watched or attended by one or more spectators.
  • B. hasFanActivity chosen
    Indicates that an entity is associated with actions, behaviors, or engagement carried out by fans in relation to it.
  • C. hasSpectatorType
    Indicates that an event or activity is associated with a particular category or type of spectator.
  • D. hasInGameActivities
    Indicates that an entity includes or offers specific activities or actions that can be performed within a game context.
  • E. hasSpectatorArea
    Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
  • 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_69f76df6704081909900c60be10d5849 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: May 3, 2026, 4:03 p.m.