Triple
T37100850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Dagaare |
E918697
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variety of Dagaare language |
C64796
|
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 Dagaare language Context triple: [Northern Dagaare, instanceOf, variety of Dagaare language]
-
A.
variety of the Dagaare language
chosen
A variety of the Dagaare language is a regional or social form of Dagaare distinguished by systematic differences in pronunciation, vocabulary, or grammar while remaining mutually intelligible with other forms.
-
B.
variety of Dagbani
A variety of Dagbani is a distinct regional or social form of the Dagbani language characterized by systematic differences in pronunciation, vocabulary, and/or grammar within the broader Dagbani-speaking community.
-
C.
variety of the Dinka language
A variety of the Dinka language is a specific regional or social form of Dinka distinguished by unique phonological, lexical, or grammatical features while remaining mutually intelligible with other Dinka varieties.
-
D.
variety of the Duala language
A variety of the Duala language is a regional or social form of Duala distinguished by specific phonological, lexical, or grammatical features while remaining mutually intelligible with other Duala forms.
-
E.
variety of Mwaghavul language
A variety of the Mwaghavul language is a distinct regional or social form of Mwaghavul characterized by systematic differences in pronunciation, vocabulary, and/or grammar within the broader Mwaghavul-speaking community.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.