Triple

T31688212
Position Surface form Disambiguated ID Type / Status
Subject French Zone of Morocco E808716 entity
Predicate religionOfficiallyRecognized P645 FINISHED
Object Islam NE NERFINISHED

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: Islam | Statement: [French Zone of Morocco, religionOfficiallyRecognized, Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionOfficiallyRecognized
Context triple: [French Zone of Morocco, religionOfficiallyRecognized, Islam]
  • A. officialReligion chosen
    Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
  • B. recognizesReligion
    Indicates that one entity formally acknowledges or accepts another entity as a valid or legitimate religion.
  • C. legalStatusOfReligion
    Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
  • D. ecclesiasticalRecognition
    Indicates formal acknowledgment or approval granted by a religious or church authority to a person, group, status, or action.
  • E. recognizedReligionPolicy
    Indicates that a governing authority has an official policy specifying which religions are formally recognized and how they are treated or regulated.
  • 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_69f348ddcbc48190950cabcc25ff29b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fea1f5d8c481908dc3351dc9ecef7f completed May 9, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69fea06b6fe0819095bf4c1bc9809927 completed May 9, 2026, 2:48 a.m.
Created at: April 30, 2026, 11:07 p.m.