Triple

T779046
Position Surface form Disambiguated ID Type / Status
Subject Romanian Orthodox Church E16454 entity
Predicate hasClericalRank P5046 FINISHED
Object deacon 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: deacon | Statement: [Romanian Orthodox Church, hasClericalRank, deacon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClericalRank
Context triple: [Romanian Orthodox Church, hasClericalRank, deacon]
  • A. hasLiturgicalRank
    Indicates that an entity is assigned a specific status or level within a liturgical or religious ceremonial hierarchy.
  • B. hasClericalDiscipline
    Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
  • C. ecclesiasticalRank chosen
    Indicates the hierarchical religious office or clerical status that one entity holds within a church or ecclesiastical organization.
  • D. hasClergyType
    Indicates the specific category or role of clergy associated with an entity.
  • E. hasClergyOrder
    Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a90365648190ace53b0f0e87aa68 completed March 1, 2026, 9 p.m.
PD Predicate disambiguation batch_69a4a50bd23081908908235b8ec9201e completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.