Triple
T22570345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baihua (vernacular written Chinese) |
E558059
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | written language variety |
C46521
|
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: written language variety Context triple: [Baihua (vernacular written Chinese), instanceOf, written language variety]
-
A.
standardized language variety
A standardized language variety is a codified form of a language that has been deliberately regulated and accepted as the norm for public, official, and educational use within a speech community.
-
B.
classical language variety
A classical language variety is a historically prestigious, standardized form of a language, typically preserved in literature and formal contexts, that differs from its modern spoken descendants.
-
C.
modern language variety
A modern language variety is a contemporary form or version of a language, distinguished by its unique features in vocabulary, grammar, pronunciation, and usage within a specific community or context.
-
D.
spoken language variety
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.
-
E.
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.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:52 p.m.