Triple

T32003848
Position Surface form Disambiguated ID Type / Status
Subject Regina Sacrorum E817207 entity
Predicate religiousRoleType P54251 FINISHED
Object sacerdotal office 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: sacerdotal office | Statement: [Regina Sacrorum, religiousRoleType, sacerdotal office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousRoleType
Context triple: [Regina Sacrorum, religiousRoleType, sacerdotal office]
  • A. religiousHierarchyRole
    Indicates that one entity holds a specific position or rank within a religious hierarchy in relation to another entity or institution.
  • B. ecclesiasticalRole chosen
    Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation to another entity.
  • C. religiousFigureType
    Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
  • D. religiousTextRole
    Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
  • E. religiousOrientationRole
    Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
  • 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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fec25f0fc48190b87ab1f9cd1eb0de completed May 9, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69fec079a770819098df7cc3049df954 completed May 9, 2026, 5:04 a.m.
Created at: May 1, 2026, 12:14 a.m.