Triple
T8166721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trasianka |
E190710
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | speech variety |
C3176
|
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: speech variety Context triple: [Trasianka, instanceOf, speech variety]
-
A.
spoken language variety
chosen
A spoken language variety is a distinct form of a language as it is actually spoken by a particular group of people, characterized by specific phonological, lexical, and grammatical features.
-
B.
macrolanguage variety
A macrolanguage variety is a specific linguistic form or set of forms that functions as one distinguishable member within a broader macrolanguage encompassing multiple closely related or mutually recognized language varieties.
-
C.
national variety of English
A national variety of English is a distinct form of the English language associated with a particular country, characterized by its own norms of pronunciation, vocabulary, grammar, and usage.
-
D.
variety of American English
A variety of American English is a distinct, systematically patterned form of English used in the United States, characterized by particular phonological, lexical, grammatical, and pragmatic features associated with specific regions, social groups, or contexts.
-
E.
group of language varieties
A group of language varieties is a conceptual class encompassing related dialects, sociolects, or registers that share a common linguistic base but differ in systematic ways across regions, communities, or contexts.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:39 p.m.