Triple

T36339264
Position Surface form Disambiguated ID Type / Status
Subject Transitional Military Council of Sudan E894867 entity
Predicate religionInGovernment 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: [Transitional Military Council of Sudan, religionInGovernment, Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religionInGovernment
Context triple: [Transitional Military Council of Sudan, religionInGovernment, Islam]
  • A. governsReligion
    Indicates that one entity exercises authority or control over the religious practices, institutions, or beliefs associated with another entity.
  • B. religionPolicy
    Indicates the stance, rules, or approach an entity adopts toward religious beliefs, practices, or institutions.
  • C. dominantReligionPolicy
    Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
  • D. 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).
  • 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_69f76e4e90148190b02fe52593c70b5b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fff09dae088190bd8460060d778feb completed May 10, 2026, 2:42 a.m.
PD Predicate disambiguation batch_69fff0027c5c8190baa5c7a15852cbe0 completed May 10, 2026, 2:40 a.m.
Created at: May 3, 2026, 4:09 p.m.