Triple
T38050067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supyire language |
E949729
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Senufo language |
C65065
|
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: Senufo language Context triple: [Supyire language, instanceOf, Senufo language]
-
A.
Dogon language
Dogon language is a group of closely related but distinct languages spoken by the Dogon people of central Mali, known for their complex tonal systems and significant internal diversity.
-
B.
Mande language
A Mande language is a member of a branch of the Niger-Congo language family spoken primarily in West Africa, characterized by tonal systems, isolating morphology, and a shared historical origin among its diverse regional varieties.
-
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.
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.
-
E.
Kadugli–Krongo language
The Kadugli–Krongo language is a small group of closely related Kadu (Kadugli) languages spoken primarily in the Nuba Mountains of Sudan, characterized by complex tone systems and rich noun morphology.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.