Triple

T621591
Position Surface form Disambiguated ID Type / Status
Subject Shia Islam E14524 entity
Predicate populationShareOfMuslims P17221 FINISHED
Object minority 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: minority | Statement: [Shia Islam, populationShareOfMuslims, minority]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationShareOfMuslims
Context triple: [Shia Islam, populationShareOfMuslims, minority]
  • A. hasApproximateAdherents
    Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
  • B. dominantReligion
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • C. hasMajorRegionOfAdherents
    Indicates that a belief system, organization, or movement has a significant concentration of its adherents located in a particular geographic region.
  • D. populationShareInFinland
    Indicates the proportion of a given population or group relative to the total population within Finland.
  • E. majorityCountry
    Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
  • F. None of above. chosen

Provenance (4 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e3e5d80819096e72e11b533f931 completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49cfe9bc081909a01b4b3b48f03b7 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49defe58c8190bd39ef47c9f660a7 completed March 1, 2026, 8:13 p.m.
Created at: March 1, 2026, 7:35 p.m.