Triple

T1905105
Position Surface form Disambiguated ID Type / Status
Subject Pools of ʻOheʻo E37782 entity
Predicate photography P23855 FINISHED
Object popular location for landscape photography 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: popular location for landscape photography | Statement: [Pools of ʻOheʻo, photography, popular location for landscape photography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: photography
Context triple: [Pools of ʻOheʻo, photography, popular location for landscape photography]
  • A. isPhotographicSubject
    Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
  • B. photographer
    Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
  • C. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • D. captures
    Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
  • E. hasPhotographicSignificance chosen
    Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.