Triple

T23160511
Position Surface form Disambiguated ID Type / Status
Subject Gonja E578567 entity
Predicate neighboringEthnicGroup P11274 FINISHED
Object Dagomba 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: Dagomba | Statement: [Gonja, neighboringEthnicGroup, Dagomba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagomba
Context triple: [Gonja, neighboringEthnicGroup, Dagomba]
  • A. Dagomba chosen
    Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
  • B. Dagari
    Dagari is an alternative name for the Dagaare language, a Gur language spoken primarily in parts of Ghana and Burkina Faso.
  • C. Bamoum
    Bamoum refers to a Central African ethnic group primarily located in western Cameroon, known for its rich artistic traditions, historical kingdom, and unique writing system.
  • D. Zande
    Zande is a Central African language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
  • E. Basoga
    The Basoga are a Bantu-speaking ethnic group predominantly inhabiting Uganda’s Busoga region, known for their rich cultural traditions and use of the Lusoga language.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.