Triple

T29717550
Position Surface form Disambiguated ID Type / Status
Subject Shibli E751955 entity
Predicate religiousCompositionMajority P21204 FINISHED
Object Muslim 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 | Statement: [Shibli, religiousCompositionMajority, Muslim]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousCompositionMajority
Context triple: [Shibli, religiousCompositionMajority, Muslim]
  • A. demographicMajority chosen
    Indicates that one group constitutes more than half of the population within a specified context or area.
  • B. majorityCountry
    Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
  • C. mainIdeologyOfMajority
    Indicates that a specified ideology is the primary or dominant belief system held by the majority within a given group or population.
  • D. ethnicMajorityRuled
    Indicates that the governing authority or ruling group in a context is composed primarily of members of the ethnic majority.
  • E. minorityMajority
    Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
  • 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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fdd92396788190ae1424bc1ae55844 completed May 8, 2026, 12:37 p.m.
PD Predicate disambiguation batch_69fdd678f40481909a717a2daec83b36 completed May 8, 2026, 12:26 p.m.
Created at: April 28, 2026, 7:34 p.m.