Triple

T11856787
Position Surface form Disambiguated ID Type / Status
Subject West Central Sudanic languages E282059 entity
Predicate hasMember P10 FINISHED
Object Naba language E904329 NE 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: Naba language | Statement: [West Central Sudanic languages, hasMember, Naba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naba language
Context triple: [West Central Sudanic languages, hasMember, Naba language]
  • A. Naba language chosen
    Naba is a Central Sudanic language of the Bongo–Bagirmi branch spoken primarily in Chad.
  • B. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • C. Nambya language
    Nambya is a Bantu language spoken primarily in northwestern Zimbabwe and northeastern Botswana, closely related to Kalanga and used by the Nambya people.
  • D. Nankani language
    The Nankani language is a Gur language spoken primarily by the Nankani people in northern Ghana and parts of Burkina Faso.
  • E. Nawuri language
    The Nawuri language is a Niger-Congo language spoken by the Nawuri people of Ghana, primarily in the northern Volta and Oti regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.