Triple

T35468756
Position Surface form Disambiguated ID Type / Status
Subject Rexburg Idaho Temple E1025150 entity
Predicate hasBaptistry P55197 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: [Rexburg Idaho Temple, hasBaptistry, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBaptistry
Context triple: [Rexburg Idaho Temple, hasBaptistry, yes]
  • A. hasBaptistery chosen
    Indicates that an entity includes, contains, or is associated with a baptistery as part of its structure or facilities.
  • B. baptismPlace
    Indicates the place where an individual was baptized.
  • C. baptismAssociatedWith
    Indicates a relationship in which an entity is connected or related to a baptism event, such as by participation, performance, location, or contextual association.
  • D. hasSacristy
    Indicates that a religious building includes or is associated with a sacristy (a room where sacred vessels, vestments, and liturgical items are kept and prepared).
  • E. hasBasilica
    Indicates that one entity possesses, contains, or is associated with a basilica as a significant feature or component.
  • 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_69f76dfa20d0819089585dc2cf653aea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd5f29b1988190877764ef2a399c7f completed May 8, 2026, 3:57 a.m.
PD Predicate disambiguation batch_69fd5e30194c819085b5ce586122ab37 completed May 8, 2026, 3:53 a.m.
Created at: May 3, 2026, 4:04 p.m.