Triple

T16751681
Position Surface form Disambiguated ID Type / Status
Subject Yembana E407095 entity
Predicate isSpokenWithin P80383 FINISHED
Object Bulu-speaking area of Cameroon 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: Bulu-speaking area of Cameroon | Statement: [Yembana, isSpokenWithin, Bulu-speaking area of Cameroon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSpokenWithin
Context triple: [Yembana, isSpokenWithin, Bulu-speaking area of Cameroon]
  • A. isSpokenAlong
    Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
  • B. isSpoken chosen
    Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
  • C. isSpokenAround
    Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or entity.
  • D. possiblySpokenAt
    Indicates that an utterance or speech event may have occurred at a particular time or location, but this association is uncertain or not definitively confirmed.
  • E. isSpokenLanguage
    Indicates that a language is used primarily for oral communication by speakers, as opposed to being only written or symbolic.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:21 a.m.