Triple

T410495
Position Surface form Disambiguated ID Type / Status
Subject Province IV E9478 entity
Predicate hasClericalOrder P3105 FINISHED
Object bishops 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: bishops | Statement: [Province IV, hasClericalOrder, bishops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClericalOrder
Context triple: [Province IV, hasClericalOrder, bishops]
  • A. hasClergyOrder chosen
    Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
  • B. hasClericalDiscipline
    Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
  • C. hasClerk
    Indicates that an entity is served, assisted, or managed by a clerk associated with it.
  • D. hasClergy
    Indicates that an organization or institution possesses or is served by members of the clergy.
  • E. hasOrder
    Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ed31681c8190ac32334562fb17fd completed Feb. 28, 2026, 1:27 p.m.
PD Predicate disambiguation batch_69a2e9737694819080fde9adcc1aa4d4 completed Feb. 28, 2026, 1:11 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.