Triple
T27864404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantuistics |
E704316
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | area studies of African languages |
C53456
|
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: area studies of African languages Context triple: [Bantuistics, instanceOf, area studies of African languages]
-
A.
African language
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.
Niger-Congo language reference system
A Niger-Congo language reference system is a structured framework for cataloging, describing, and cross-referencing the languages of the Niger-Congo family, including their classifications, features, and relationships.
-
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.
Atlantic-Congo language
An Atlantic-Congo language is a member of a major branch of the Niger-Congo language family, encompassing a vast and diverse group of languages spoken primarily in sub-Saharan Africa.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 6:20 p.m.