Triple

T14352712
Position Surface form Disambiguated ID Type / Status
Subject Mustique Airport E355893 entity
Predicate isPrivateUse P35448 FINISHED
Object yes 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: yes | Statement: [Mustique Airport, isPrivateUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPrivateUse
Context triple: [Mustique Airport, isPrivateUse, yes]
  • A. isPrivateOrPublic chosen
    Indicates whether something is designated as private or public in terms of its accessibility or visibility.
  • B. usedInternally
    Indicates that something is utilized within an organization, system, or component itself rather than being exposed or provided for external use.
  • C. publicOrPrivate
    Indicates whether something is designated as publicly accessible or restricted to private use or access.
  • D. isUsedUnder
    Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another entity.
  • E. isPrivateCompany
    Indicates that an entity operates as a privately held company, not publicly traded on a stock exchange.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4ff1e48190bd9419d70098cede completed April 14, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69de2a9958e881909d03ac03f135163e completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:14 a.m.