Triple
T24776221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyagbo language |
E619868
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Ghana–Togo Mountain language |
C49145
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Ghana–Togo Mountain language Context triple: [Nyagbo language, instanceOf, Ghana–Togo Mountain language]
-
A.
Oti–Volta language
An Oti–Volta language is a member of a branch of the Gur languages spoken primarily in Burkina Faso, Ghana, Togo, Benin, and neighboring regions, characterized by noun class systems and tonal distinctions.
-
B.
Grassfields language
A Grassfields language is a member of a subgroup of Southern Bantoid languages spoken primarily in the Grassfields region of western Cameroon, characterized by complex noun class systems and tonal distinctions.
-
C.
Volta–Niger language
A Volta–Niger language is a member of a proposed branch of the Niger–Congo language family spoken primarily in southern Nigeria and neighboring regions, characterized by significant lexical and grammatical diversity among its constituent languages.
-
D.
Central Tano language
A Central Tano language is a member of the Tano branch of the Niger-Congo language family spoken primarily in Ghana and neighboring regions, characterized by tonal phonology and shared grammatical and lexical features with related Akanic and Guang languages.
-
E.
Bamileke language
Bamileke language refers to a group of closely related Grassfields Bantu languages spoken primarily by the Bamileke people in western Cameroon.
- F. None of above. chosen
Provenance (1 batch)
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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 4:34 a.m.