Triple
T12039989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bemba language |
E286634
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Zambian language |
C3817
|
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: Zambian language Context triple: [Bemba language, instanceOf, Zambian language]
-
A.
language of Malawi
The language of Malawi refers primarily to Chichewa (also known as Chewa or Nyanja), the country’s national and most widely spoken Bantu language, alongside several other indigenous languages used across different regions and communities.
-
B.
Bantu language
chosen
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.
-
C.
Ubangian language
A Ubangian language is a member of a proposed group of Central African languages, primarily spoken in the Central African Republic and neighboring countries, that share common phonological and grammatical features and are often considered a branch of the Niger-Congo family.
-
D.
Kwa language
Kwa language is a proposed branch of the Niger-Congo language family spoken primarily in southeastern Côte d’Ivoire, Ghana, Togo, and Benin, characterized by tonal systems and isolating to mildly agglutinative morphology.
-
E.
Nandi language
Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, characterized by its complex verb morphology and tonal distinctions.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:47 p.m.