Triple

T31725211
Position Surface form Disambiguated ID Type / Status
Subject Barzanji E809693 entity
Predicate associatedWithReligiousRole P51786 FINISHED
Object Sufi leadership 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: Sufi leadership | Statement: [Barzanji, associatedWithReligiousRole, Sufi leadership]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithReligiousRole
Context triple: [Barzanji, associatedWithReligiousRole, Sufi leadership]
  • A. associatedReligionRole chosen
    Indicates that one entity holds a specific religious role, office, or function in relation to another entity.
  • B. hasReligiousRoleEquivalent
    Indicates that two religious roles are considered functionally or hierarchically equivalent within or across religious traditions.
  • C. regionReligiousRole
    Indicates the role or function that religion plays within a particular region, such as its religious status, significance, or designated religious purpose.
  • D. religiousOrientationRole
    Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
  • E. religiousAndSpiritualRole
    Indicates that an entity holds or fulfills a religious or spiritual function, office, or responsibility in relation to another entity or 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_69f348e009c8819095d77df52c645b9c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e7aa0c8190bdc9ee4d54fc821b completed May 12, 2026, 7:05 p.m.
Created at: April 30, 2026, 11:19 p.m.