Triple

T26187654
Position Surface form Disambiguated ID Type / Status
Subject Niam Khasi E654873 entity
Predicate religiousSpecialistType P70093 FINISHED
Object traditional priest 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: traditional priest | Statement: [Niam Khasi, religiousSpecialistType, traditional priest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousSpecialistType
Context triple: [Niam Khasi, religiousSpecialistType, traditional priest]
  • A. religiousFigureType chosen
    Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
  • B. religiousSpecialists
    Indicates a relationship where certain individuals serve as designated religious authorities, experts, or functionaries within a belief system or ritual context.
  • C. religiousAndSpiritualRole
    Indicates that an entity holds or fulfills a religious or spiritual function, office, or responsibility in relation to another entity or context.
  • D. religiousFigure
    Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
  • E. eraOfReligiousFunction
    Indicates the historical time period during which a religious role, office, or function was actively performed or held.
  • 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_69ee5b469bc081908fe486453fdad810 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: April 26, 2026, 8:43 p.m.