Triple

T3736917
Position Surface form Disambiguated ID Type / Status
Subject Chadians E79606 entity
Predicate religiousDivision P45 FINISHED
Object Muslim majority in north and east 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: Muslim majority in north and east | Statement: [Chadians, religiousDivision, Muslim majority in north and east]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousDivision
Context triple: [Chadians, religiousDivision, Muslim majority in north and east]
  • A. religiousBranchOf
    Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
  • B. denominations
    Indicates the specific units or categories into which something (often money, values, or items) is divided or classified.
  • C. religiousAffiliation chosen
    Indicates that one entity has a specified religious association, belief system, or denominational membership.
  • D. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • E. officialReligion
    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).
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb3d32b081909a993a78b0869db8 completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc04746588190b0dc535638f23546 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.