Triple
T1104312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantonese |
E25452
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Chinese language variety |
C7052
|
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: Chinese language variety Context triple: [Cantonese, instanceOf, Chinese language variety]
-
A.
variety of Mandarin Chinese
A variety of Mandarin Chinese is a regional or social form of the Mandarin language distinguished by its phonological, lexical, and sometimes grammatical features while remaining mutually intelligible with other Mandarin forms.
-
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.
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.
-
D.
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.
-
E.
Greek language variety
A Greek language variety is a distinct form of the Greek language, characterized by specific phonological, grammatical, lexical, and pragmatic features associated with particular regions, communities, or social groups.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
Created at: March 1, 2026, 7:43 p.m.