Triple
T17973792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagomba people |
E449412
|
entity |
| Predicate | ethnonym |
P4709
|
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: [Dagomba people, ethnonym, Dagomba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagomba Context triple: [Dagomba people, ethnonym, 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.
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.
-
D.
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.
-
E.
Kamba
Kamba is a Bantu language spoken primarily by the Akamba people of Kenya, known for its rich oral traditions and regional cultural significance.
- 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.