Triple

T20879170
Position Surface form Disambiguated ID Type / Status
Subject Biograph Theater E514097 entity
Predicate hasHistoricPlaque P57238 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: [Biograph Theater, hasHistoricPlaque, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricPlaque
Context triple: [Biograph Theater, hasHistoricPlaque, yes]
  • A. hasCommemorativePlaques chosen
    Indicates that one entity possesses or displays commemorative plaques associated with it.
  • B. isHistoricPlace
    Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
  • C. hasHistoricSignificanceFor
    Indicates that something holds notable historical importance or relevance for a particular entity or group.
  • D. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • E. hasHistoricalSignificanceThrough
    Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c678b394819096a17de9e04cd74f completed April 21, 2026, 12:36 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:45 p.m.