Triple

T207428
Position Surface form Disambiguated ID Type / Status
Subject Evangelicalism E4638 entity
Predicate hasTheologicalEmphasis P3095 FINISHED
Object personal piety 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: personal piety | Statement: [Evangelicalism, hasTheologicalEmphasis, personal piety]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTheologicalEmphasis
Context triple: [Evangelicalism, hasTheologicalEmphasis, personal piety]
  • A. theologicalFocus chosen
    Indicates that something is primarily concerned with, centered on, or directed toward theological themes, questions, or doctrines.
  • B. theologicalCategory
    Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
  • C. theologicalTradition
    Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
  • D. hasEcclesiologicalDimension
    Indicates that something possesses a significance, aspect, or implication related to the nature, structure, or life of the Church as a community.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e2aba74819093eddd8d820260c0 completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b4c7f908190876c1041db52dffc completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.