Triple

T1918835
Position Surface form Disambiguated ID Type / Status
Subject Yazidism E40078 entity
Predicate estimatedAdherents P1193 FINISHED
Object hundreds of thousands 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: hundreds of thousands | Statement: [Yazidism, estimatedAdherents, hundreds of thousands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedAdherents
Context triple: [Yazidism, estimatedAdherents, hundreds of thousands]
  • A. hasApproximateAdherents chosen
    Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
  • B. laterAdherentsCount
    Indicates the number of adherents who joined or adopted something after an initial reference point or time.
  • C. isConsideredByAdherents
    Indicates that something (such as a belief, practice, object, or figure) is regarded or held in a particular way by the people who adhere to a specific faith, ideology, or group.
  • D. isLargestChristianDenomination
    Indicates that the subject Christian denomination has the greatest number of adherents compared to all other Christian denominations in the specified context.
  • E. dominantReligion
    Indicates the religion that holds primary or majority status within a given group, region, or entity.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb211eda88190865de7a0522a453d completed March 7, 2026, 5:05 a.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.