Triple

T8972002
Position Surface form Disambiguated ID Type / Status
Subject Front Square E214287 entity
Predicate photographyRule P27062 FINISHED
Object commonly photographed by visitors and students 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: commonly photographed by visitors and students | Statement: [Front Square, photographyRule, commonly photographed by visitors and students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: photographyRule
Context triple: [Front Square, photographyRule, commonly photographed by visitors and students]
  • A. allowsPhotography
    Indicates that one entity permits another entity to take photographs in a particular context or location.
  • B. hasPhotographyRestrictions
    Indicates that there are specific rules or limitations governing whether and how photography is allowed.
  • C. hasPhotographicConvention chosen
    Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
  • D. usesPhotographyFrom
    Indicates that one entity employs or incorporates photographic material originating from another entity.
  • E. photographyGenre
    Indicates the specific genre or style of photography that characterizes a photographic work or activity.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6780d45081909f2bc5295c8550f9 completed April 1, 2026, 12:32 a.m.
PD Predicate disambiguation batch_69cc5ed9a2d48190ad11381078e823b7 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:02 p.m.