Triple

T19795740
Position Surface form Disambiguated ID Type / Status
Subject Cult of Reason E475534 entity
Predicate symbolicTransformationOf P86342 FINISHED
Object Notre-Dame de Paris into a Temple of Reason 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: Notre-Dame de Paris into a Temple of Reason | Statement: [Cult of Reason, symbolicTransformationOf, Notre-Dame de Paris into a Temple of Reason]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: symbolicTransformationOf
Context triple: [Cult of Reason, symbolicTransformationOf, Notre-Dame de Paris into a Temple of Reason]
  • A. hasSymbolicForm
    Indicates that one entity serves as the symbolic representation or abstract form of another entity.
  • B. transformationRelation chosen
    Indicates a relationship where one entity is changed, converted, or transformed into another entity or state.
  • C. usesTransformation
    Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
  • D. symbolicRelation
    Indicates a relationship where one entity stands for, represents, or conveys meaning about another through symbols or abstract signs.
  • E. symbolicallyExtends
    Indicates that one entity conceptually builds upon, generalizes, or inherits the structure or meaning of another in an abstract or symbolic way.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c659088190928fa4c9264135d3 completed April 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:49 p.m.