Triple
T33342234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guthrie B.50 |
E853701
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Bantu language classification code |
C59627
|
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: Bantu language classification code Context triple: [Guthrie B.50, instanceOf, Bantu language classification code]
-
A.
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.
-
B.
Bantu language zone
chosen
A Bantu language zone is a geographically and linguistically defined grouping of related Bantu languages that share common structural, lexical, and historical features within a specific region.
-
C.
branch of Bantu languages
A branch of Bantu languages is a subgroup within the Bantu language family whose member languages share a common historical origin and exhibit closely related grammatical, phonological, and lexical features.
-
D.
ISO 639-6 code
An ISO 639-6 code is a four-letter identifier used to represent specific language variants, including dialects and other detailed subdivisions of languages, within the ISO 639 standard.
-
E.
Grassfields language subgroup
The Grassfields language subgroup is a branch of the Southern Bantoid languages spoken primarily in the Grassfields region of western Cameroon, characterized by significant internal diversity and complex noun class systems.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:34 a.m.