Triple

T75752
Position Surface form Disambiguated ID Type / Status
Subject Jehovah's Witnesses E1513 entity
Predicate disciplinaryPractice P2458 FINISHED
Object disfellowshipping of unrepentant members 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: disfellowshipping of unrepentant members | Statement: [Jehovah's Witnesses, disciplinaryPractice, disfellowshipping of unrepentant members]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disciplinaryPractice
Context triple: [Jehovah's Witnesses, disciplinaryPractice, disfellowshipping of unrepentant members]
  • A. fieldOfWork
    Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
  • B. associatedWithDiscipline
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • C. academicFocus
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • D. associatedWithPractice chosen
    Indicates a relationship in which an entity is connected or linked to a particular practice, activity, or customary way of doing something.
  • E. hasSpecialty
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a25314bd6c81908d1cfd4b83f20049 completed Feb. 28, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69a24eae77ec81909015906f31f2b62e completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.