Triple

T25003547
Position Surface form Disambiguated ID Type / Status
Subject Le Touquet Golf Resort E625778 entity
Predicate hasChampionshipCourse P66366 FINISHED
Object La Forêt NE NERFINISHED

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: La Forêt | Statement: [Le Touquet Golf Resort, hasChampionshipCourse, La Forêt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChampionshipCourse
Context triple: [Le Touquet Golf Resort, hasChampionshipCourse, La Forêt]
  • A. containsChampionshipCourse chosen
    Indicates that an entity includes or features a golf course that meets recognized championship-level standards.
  • B. parOfChampionshipCourse
    Indicates that one entity is a part or segment of a championship course associated with another entity.
  • C. hasRacecourse
    Indicates that an entity possesses, contains, or is associated with a racecourse facility or track.
  • D. hasChampionships
    Indicates that one entity possesses or has won one or more championships associated with another entity.
  • E. hasChampionshipRounds
    Indicates that an event, match, or competition includes designated final or title-deciding rounds beyond the standard duration.
  • 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_69e2ff26c50481908bc82e799c9e6587 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 18, 2026, 6:05 a.m.