Triple

T17973796
Position Surface form Disambiguated ID Type / Status
Subject Dagomba people E449412 entity
Predicate primaryLanguage P238 FINISHED
Object Dagbani 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: Dagbani language | Statement: [Dagomba people, primaryLanguage, Dagbani language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagbani language
Context triple: [Dagomba people, primaryLanguage, Dagbani language]
  • A. Dagbani language chosen
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • B. Dagba language
    Dagba language is a lesser-known Central Sudanic language spoken by the Sara people in parts of Central Africa.
  • C. Gbagyi language
    Gbagyi language is a Central Nigerian language spoken predominantly by the Gbagyi (Gwari) people across parts of Nigeria’s Middle Belt region.
  • D. Bambassi language
    The Bambassi language is a lesser-known Afroasiatic tongue spoken by communities in western Ethiopia, classified within the North Omotic branch.
  • E. Datooga language
    The Datooga language is a Southern Nilotic language spoken by the Datooga people of north-central Tanzania, known for its complex dialect diversity and rich oral tradition.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fe24808190baa11739f4d1095f completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.