Triple
T38622221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Tumbuka |
E936901
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | regional variety of Tumbuka |
C62851
|
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: regional variety of Tumbuka Context triple: [Southern Tumbuka, instanceOf, regional variety of Tumbuka]
-
A.
Tumbuka language
chosen
Tumbuka language is a Bantu language spoken primarily in northern Malawi and parts of Zambia and Tanzania, known for its rich noun class system and tonal distinctions.
-
B.
Makhuwa language variety
A Makhuwa language variety is a specific regional or social form of the Makhuwa Bantu language, distinguished by its own phonological, lexical, or grammatical features within the broader Makhuwa linguistic continuum.
-
C.
Tswa–Ronga language variety
A Tswa–Ronga language variety is a specific regional or social form of the Tswa–Ronga language cluster, characterized by distinct phonological, lexical, and grammatical features shared by its speakers.
-
D.
regional variety of Kikuyu language
A regional variety of the Kikuyu language is a geographically defined form of Kikuyu characterized by distinct phonological, lexical, and sometimes grammatical features shared by speakers in a particular area.
-
E.
regional variety of siSwati
A regional variety of siSwati is a geographically or socially localized form of the siSwati language characterized by distinct pronunciation, vocabulary, and sometimes grammar that differentiate it from other siSwati varieties.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.