Triple

T66906
Position Surface form Disambiguated ID Type / Status
Subject Islam E1333 entity
Predicate hasClericalRole P3092 FINISHED
Object imam 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: imam | Statement: [Islam, hasClericalRole, imam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClericalRole
Context triple: [Islam, hasClericalRole, imam]
  • A. hasClergyType chosen
    Indicates the specific category or role of clergy associated with an entity.
  • B. hasClericalDiscipline
    Indicates that an entity is subject to, or governed by, a particular set of clerical or religious disciplinary rules or practices.
  • C. hasClergyOrder
    Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
  • D. hasClerk
    Indicates that an entity is served, assisted, or managed by a clerk associated with it.
  • E. hasLayMinistry
    Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a2509b5a088190bb9d2b650aeb8bca completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ea749788190bc17865171ff909a completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.