Triple

T22345110
Position Surface form Disambiguated ID Type / Status
Subject Askernish Golf Club E552370 entity
Predicate hasPlayingConditions P1255 FINISHED
Object wind-affected 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: wind-affected | Statement: [Askernish Golf Club, hasPlayingConditions, wind-affected]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlayingConditions
Context triple: [Askernish Golf Club, hasPlayingConditions, wind-affected]
  • A. hasCondition chosen
    Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
  • B. hasNumberOfConditions
    Indicates that an entity is associated with a specific count of conditions it has or is subject to.
  • C. hasPlayType
    Indicates the type or category of play associated with an event, action, or performance.
  • D. hasProtagonistCondition
    Indicates that the main character in a narrative has a particular condition, state, or affliction.
  • E. hasOpeningCondition
    Indicates that a relationship or action is subject to a specific initial condition that must be met before it can begin or take effect.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157975db481909db65ff4d8505bbd completed April 29, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e7300c20088190a59e5bf9e70384f3 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:43 p.m.