Triple

T9814275
Position Surface form Disambiguated ID Type / Status
Subject Incahuasi Island E238358 entity
Predicate photographicAppeal P23855 FINISHED
Object iconic subject in Bolivian tourism imagery 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: iconic subject in Bolivian tourism imagery | Statement: [Incahuasi Island, photographicAppeal, iconic subject in Bolivian tourism imagery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: photographicAppeal
Context triple: [Incahuasi Island, photographicAppeal, iconic subject in Bolivian tourism imagery]
  • A. isPhotographicSubject
    Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
  • B. hasPhotographicSignificance chosen
    Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
  • C. photographyGenre
    Indicates the specific genre or style of photography that characterizes a photographic work or activity.
  • D. usesPhotographyFrom
    Indicates that one entity employs or incorporates photographic material originating from another entity.
  • E. hasPhotographicConvention
    Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f19660819083e3f15780352052 completed April 2, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cd03e01ea881909a7d93fc3994ace5 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:30 p.m.