Triple

T400009
Position Surface form Disambiguated ID Type / Status
Subject Presbyterian E9258 entity
Predicate recognizesChurchOffice P9873 FINISHED
Object teaching elder 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: teaching elder | Statement: [Presbyterian, recognizesChurchOffice, teaching elder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognizesChurchOffice
Context triple: [Presbyterian, recognizesChurchOffice, teaching elder]
  • A. ecclesiasticalRank
    Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
  • B. hasClergyType
    Indicates the specific category or role of clergy associated with an entity.
  • C. churchOrder
    Indicates the hierarchical or organizational structure that defines roles, authority, and governance within a church or religious institution.
  • D. recognizesSacrament
    Indicates that one entity formally accepts or acknowledges the validity or legitimacy of a particular sacrament associated with another entity.
  • E. theologicalRole chosen
    Indicates a relationship where an entity holds or is assigned a specific function, office, or status within a theological or religious framework.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8e655c819081eff85c0ef55fa5 completed Feb. 28, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69a2e96d17d08190878d3a68b17d51ca completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.