Triple

T22951363
Position Surface form Disambiguated ID Type / Status
Subject Botatwe languages E570026 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Totela language 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: Totela language | Statement: [Botatwe languages, hasMemberLanguage, Totela language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totela language
Context triple: [Botatwe languages, hasMemberLanguage, Totela language]
  • A. Totela language chosen
    The Totela language is a Bantu language of southern Africa spoken by the Totela people, closely related to other Tonga varieties in the region.
  • B. Cuicatec language
    The Cuicatec language is an indigenous Oto-Manguean language of Mexico spoken primarily in northern Oaxaca.
  • C. Huastec language
    The Huastec language is a Mayan language spoken by the Huastec people primarily in the northeastern region of Mexico.
  • D. Matlatzinca language
    The Matlatzinca language is an indigenous Oto-Manguean language of central Mexico, traditionally spoken by the Matlatzinca people in the State of Mexico and considered at risk of extinction.
  • E. Ixcatec language
    The Ixcatec language is a highly endangered indigenous Oto-Manguean language spoken by a small community in Oaxaca, Mexico.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.