Triple
T30861291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African languages |
E786067
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | indigenous languages of Africa |
C8379
|
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: indigenous languages of Africa Context triple: [African languages, instanceOf, indigenous languages of Africa]
-
A.
African language
chosen
An African language is any of the diverse indigenous or historically rooted languages spoken across the African continent, encompassing numerous families such as Niger-Congo, Afroasiatic, Nilo-Saharan, and Khoisan.
-
B.
area studies of African languages
Area studies of African languages is an interdisciplinary field that examines the linguistic, cultural, historical, and social dimensions of African languages within their specific regional and societal contexts.
-
C.
Nilo-Saharan language
A Nilo-Saharan language is a member of a proposed but controversial language family spoken primarily along the Nile and across parts of central and eastern Africa, characterized by significant internal diversity and debated genetic relationships.
-
D.
Niger-Congo language family
The Niger-Congo language family is a large and diverse group of languages spoken primarily in sub-Saharan Africa, characterized by features such as noun class systems and tonal distinctions.
-
E.
Bantu language
A Bantu language is a member of a large branch of the Niger-Congo language family, spoken primarily in central, eastern, and southern Africa, characterized by noun class systems and agglutinative morphology.
- F. None of above.
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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:47 p.m.