Triple

T12039768
Position Surface form Disambiguated ID Type / Status
Subject Yoruboid languages E286629 entity
Predicate hasMember P10 FINISHED
Object Awori language
Awori language is a dialect of the Yoruba language spoken primarily by the Awori people in southwestern Nigeria and parts of Benin.
 E961101 NE FINISHED

How this triple was built (4 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: Awori language | Statement: [Yoruboid languages, hasMember, Awori language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Awori language
Context triple: [Yoruboid languages, hasMember, Awori language]
  • A. Wayoró language
    The Wayoró language is an indigenous Tupian language spoken by the Wayoró people of the Brazilian Amazon.
  • B. Warji language
    Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
  • C. Oro language
    The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
  • D. Ikwerre language
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
  • E. Wuvulu-Aua language
    The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Awori language
Triple: [Yoruboid languages, hasMember, Awori language]
Generated description
Awori language is a dialect of the Yoruba language spoken primarily by the Awori people in southwestern Nigeria and parts of Benin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Awori language
Target entity description: Awori language is a dialect of the Yoruba language spoken primarily by the Awori people in southwestern Nigeria and parts of Benin.
  • A. Wayoró language
    The Wayoró language is an indigenous Tupian language spoken by the Wayoró people of the Brazilian Amazon.
  • B. Warji language
    Warji language is a West Chadic language spoken primarily in Bauchi State, northern Nigeria, by the Warji people.
  • C. Oro language
    The Oro language is the traditional indigenous language spoken by the Oro people of Papua New Guinea.
  • D. Ikwerre language
    Ikwerre language is an Igboid language spoken primarily by the Ikwerre people in Rivers State, Nigeria.
  • E. Wuvulu-Aua language
    The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
  • F. None of above. chosen

Provenance (5 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56495830c8190ad5e1767f251b4c5 completed May 2, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:47 p.m.