Triple
T24167593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemba language |
E599031
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Bamileke language |
C48328
|
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: Bamileke language Context triple: [Yemba language, instanceOf, Bamileke language]
-
A.
Songhay language
Songhay language is a group of closely related Nilo-Saharan languages spoken primarily along the Niger River in Mali, Niger, and neighboring West African countries.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Sabaki language
Sabaki language is a conceptual class representing a subgroup of closely related Bantu languages spoken along the East African coast, characterized by shared phonological, lexical, and grammatical features.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
Created at: April 17, 2026, 11:33 p.m.