Triple

T7994267
Position Surface form Disambiguated ID Type / Status
Subject Bantu peoples E186082 entity
Predicate areMajorityPopulationIn P21204 FINISHED
Object many Central African countries 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: many Central African countries | Statement: [Bantu peoples, areMajorityPopulationIn, many Central African countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areMajorityPopulationIn
Context triple: [Bantu peoples, areMajorityPopulationIn, many Central African countries]
  • A. majorityCountry
    Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
  • B. demographicMajority chosen
    Indicates that one group constitutes more than half of the population within a specified context or area.
  • C. majorityStatusInCountry
    Indicates that an entity holds majority status—such as being the largest or dominant group—within a specified country.
  • D. hasMinorityIn
    Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69cb0483d3b48190b250c7603d747bca completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:16 p.m.