Triple

T84343
Position Surface form Disambiguated ID Type / Status
Subject House of Deputies E1696 entity
Predicate clergyEligibility P1130 FINISHED
Object priests and deacons canonically resident in a diocese 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: priests and deacons canonically resident in a diocese | Statement: [House of Deputies, clergyEligibility, priests and deacons canonically resident in a diocese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clergyEligibility
Context triple: [House of Deputies, clergyEligibility, priests and deacons canonically resident in a diocese]
  • A. hasClergyType
    Indicates the specific category or role of clergy associated with an entity.
  • B. hasClergyOrder
    Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
  • C. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • D. hasClericalDiscipline
    Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
  • E. denominationsInclude
    Indicates that a set of denominations contains or encompasses a particular denomination as one of its members.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4e73c081908d2da146226ef05e completed Feb. 28, 2026, 2:13 a.m.
PD Predicate disambiguation batch_69a24eb469548190b38c24e81f36c838 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.