Triple

T23043881
Position Surface form Disambiguated ID Type / Status
Subject Wayao E573819 entity
Predicate hasEthnicLanguage P35871 FINISHED
Object Yao languages NE NERFINISHED

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: Yao languages | Statement: [Wayao, hasEthnicLanguage, Yao languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yao languages
Context triple: [Wayao, hasEthnicLanguage, Yao languages]
  • A. Yao language chosen
    The Yao language is a Bantu language spoken primarily by the Yao people in Malawi, Mozambique, and Tanzania.
  • B. Chimuan languages
    The Chimuan languages are an extinct group of pre-Columbian languages once spoken along the northern coast of Peru, most notably associated with the Chimú civilization.
  • C. Yaka languages
    Yaka languages are a group of closely related Bantu languages spoken primarily in parts of Central Africa, especially in the Democratic Republic of the Congo and Angola.
  • D. Guan languages
    The Guan languages are a group of related Niger-Congo languages spoken primarily in Ghana and neighboring parts of West Africa.
  • E. Ju–ǂHoan languages
    Ju–ǂHoan languages are a small family of Khoisan languages spoken by Ju and ǂHoan peoples of southern Africa, notable for their complex click consonant systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18517083c8190a0850da5440e0a73 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.