Triple

T25231452
Position Surface form Disambiguated ID Type / Status
Subject Stone Chariot at Vittala Temple E632227 entity
Predicate photographyStatus P121927 FINISHED
Object popular subject for 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 subject for photography | Statement: [Stone Chariot at Vittala Temple, photographyStatus, popular subject for photography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: photographyStatus
Context triple: [Stone Chariot at Vittala Temple, photographyStatus, popular subject for photography]
  • A. usesPhotographyFrom
    Indicates that one entity employs or incorporates photographic material originating from another entity.
  • B. hasPhotographicActivity
    Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
  • C. allowsPhotography
    Indicates that one entity permits another entity to take photographs in a particular context or location.
  • D. hasPhotoSpot
    Indicates that a location or entity includes or is associated with a designated place suitable for taking photographs.
  • E. hasPhotogenicFeature chosen
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • 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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cc8b158819095e054bcde25648f completed May 1, 2026, 10:13 a.m.
PD Predicate disambiguation batch_69f44d849e7c81909945438f40e35362 completed May 1, 2026, 6:51 a.m.
Created at: April 21, 2026, 1:06 p.m.