Triple

T32325398
Position Surface form Disambiguated ID Type / Status
Subject Alps (17th hole) E825896 entity
Predicate visibilityFromFairway P147891 FINISHED
Object green not directly visible over dune 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: green not directly visible over dune | Statement: [Alps (17th hole), visibilityFromFairway, green not directly visible over dune]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visibilityFromFairway
Context triple: [Alps (17th hole), visibilityFromFairway, green not directly visible over dune]
  • A. isDifficultToSeeFrom chosen
    Indicates that one entity is hard to visually perceive or observe when viewed from the vantage point or location of another entity.
  • B. fairwayType
    Indicates the specific kind or classification of a fairway associated with an entity.
  • C. visibilityFromSea
    Indicates that something can be seen or is visually detectable when viewed from the sea.
  • D. visibilitySector
    Indicates the angular region or sector within which something is visible from a given point or direction.
  • E. visibleYearRoundFrom
    Indicates that one entity can be seen throughout the entire year from the location or vantage point of another entity.
  • 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_69f34912d0c48190bba75770660320e9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bde7cd8481908d3128d089c86c14 completed May 3, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69f6ba6cef208190bc5cd43d96127004 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:47 a.m.