Triple

T35037383
Position Surface form Disambiguated ID Type / Status
Subject Litchfield Beach, South Carolina E1010962 entity
Predicate hasNearbyGolfCourseCluster P66924 FINISHED
Object Litchfield Country Club area 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: Litchfield Country Club area | Statement: [Litchfield Beach, South Carolina, hasNearbyGolfCourseCluster, Litchfield Country Club area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyGolfCourseCluster
Context triple: [Litchfield Beach, South Carolina, hasNearbyGolfCourseCluster, Litchfield Country Club area]
  • A. hasGolfCourseCluster chosen
    Indicates that an entity is associated with or contains a group or concentration of golf courses in a particular area.
  • B. nearbyGolfResort
    Indicates that one location is situated close enough to another to be considered a conveniently accessible golf resort.
  • C. hasGolfCourse
    Indicates that one entity possesses, contains, or includes a golf course as part of its facilities or attributes.
  • D. hasGolfDestination
    Indicates that one entity serves as a golf-related destination or location for another entity.
  • E. hasNearbyHotelCluster
    Indicates that one or more hotels are located in close proximity to the referenced place or area, forming a spatial cluster.
  • 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_69f76dcea02c81908542a223f6d5059f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fff9b126b4819085a4cf8791d388d1 completed May 10, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69fff8f913a881908d3b7e490d92631f completed May 10, 2026, 3:18 a.m.
Created at: May 3, 2026, 4:01 p.m.