Triple

T262870
Position Surface form Disambiguated ID Type / Status
Subject Old Catholicism E5787 entity
Predicate theologyOrientation P5493 FINISHED
Object liberal Catholic theology 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: liberal Catholic theology | Statement: [Old Catholicism, theologyOrientation, liberal Catholic theology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theologyOrientation
Context triple: [Old Catholicism, theologyOrientation, liberal Catholic theology]
  • A. theologicalFocus
    Indicates that something is primarily concerned with, centered on, or directed toward theological themes, questions, or doctrines.
  • B. positionOnTheology
    Indicates a stance, viewpoint, or opinion that one entity holds regarding theological beliefs, doctrines, or issues.
  • C. theologicalCategory chosen
    Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
  • D. theologicalTradition
    Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
  • E. theologicalInterpretation
    Indicates a relationship where an event, text, or phenomenon is understood or explained through religious or doctrinal beliefs and principles.
  • 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_69a258dd8ea08190ac554a1cc8dfd8c3 completed Feb. 28, 2026, 2:54 a.m.
NER Named-entity recognition batch_69a25d8c7f448190af9145256f994177 completed Feb. 28, 2026, 3:14 a.m.
PD Predicate disambiguation batch_69a25b6e07748190834022a65ba6d803 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.