Triple
T24432188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karanga dialect |
E616027
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variety of Shona language |
C21898
|
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: variety of Shona language Context triple: [Karanga dialect, instanceOf, variety of Shona language]
-
A.
variety of Shona
chosen
A variety of Shona is a distinct regional or social form of the Shona language characterized by specific phonological, lexical, and grammatical features shared by a particular speech community.
-
B.
variety of Tshivenda
A variety of Tshivenda is a distinct regional or social form of the Tshivenda language characterized by unique phonological, lexical, or grammatical features while remaining mutually intelligible with other forms.
-
C.
variety of Swahili
A variety of Swahili is a distinct form of the Swahili language characterized by specific regional, social, or functional linguistic features in its phonology, grammar, and vocabulary.
-
D.
variety of Malagasy language
A variety of Malagasy language is a distinct regional or social form of Malagasy characterized by unique phonological, lexical, and grammatical features while remaining mutually intelligible to varying degrees with other Malagasy forms.
-
E.
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.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:16 a.m.