Triple

T559737
Position Surface form Disambiguated ID Type / Status
Subject Gay, Georgia E13421 entity
Predicate hasLocalAttraction P5121 FINISHED
Object historic fairgrounds used for Cotton Pickin’ Fair 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: historic fairgrounds used for Cotton Pickin’ Fair | Statement: [Gay, Georgia, hasLocalAttraction, historic fairgrounds used for Cotton Pickin’ Fair]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalAttraction
Context triple: [Gay, Georgia, hasLocalAttraction, historic fairgrounds used for Cotton Pickin’ Fair]
  • A. hasAttractionNearby
    Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
  • B. containsAttraction chosen
    Indicates that one entity includes or encompasses an attraction (such as a point of interest, feature, or draw) within its bounds or scope.
  • C. isAttractionFor
    Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
  • D. hasAttractionType
    Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
  • E. isMajorAttractionFor
    Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e13694819087a236bffa6601a9 completed March 1, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69a494befb8481908bb4e2e9f31e343b completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.