Triple
T30648197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuberera |
E780181
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Souletin dialect |
C57673
|
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: Souletin dialect Context triple: [Zuberera, instanceOf, Souletin dialect]
-
A.
Franco-Provençal dialect
A Franco-Provençal dialect is a regional variety of the Gallo-Romance language continuum spoken primarily in parts of France, Switzerland, and Italy, characterized by features distinct from both standard French and Occitan.
-
B.
Benadiri dialect
The Benadiri dialect is a coastal variety of the Somali language spoken by the Benadiri people in and around Mogadishu and other southern Somali coastal towns, characterized by distinct phonological and lexical features.
-
C.
Isnag dialect
The Isnag dialect is a variant of the Isnag language spoken by the Isnag people of northern Luzon in the Philippines, characterized by its distinct phonology, vocabulary, and grammatical features within the Northern Luzon language group.
-
D.
Ligurian dialect
Ligurian dialect is a Romance language variety spoken primarily in the Liguria region of northwestern Italy and nearby areas, characterized by its own phonological, lexical, and grammatical features distinct from standard Italian.
-
E.
Tabasaran dialect
Tabasaran dialect is a regional or social variety of the Tabasaran language, distinguished by specific phonological, lexical, and grammatical features used by particular speaker communities.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:30 p.m.