Triple
T1104311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantonese |
E25452
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Sinitic language |
C7051
|
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: Sinitic language Context triple: [Cantonese, instanceOf, Sinitic language]
-
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.
Austronesian language
An Austronesian language is any member of a large family of languages spoken from Madagascar across Island Southeast Asia and the Pacific to Easter Island, characterized by shared phonological, grammatical, and lexical features tracing back to a common ancestral tongue.
-
C.
Quechuan language
A Quechuan language is any member of a family of indigenous languages of the Andes, primarily spoken in Peru, Bolivia, Ecuador, Colombia, and Argentina, that share common grammatical structures and vocabulary derived from a Proto-Quechuan ancestor.
-
D.
Austroasiatic language
An Austroasiatic language is a member of a large language family native to Southeast Asia and parts of South Asia, including languages such as Vietnamese, Khmer, and Mon.
-
E.
Tai language
A Tai language is a member of the Tai branch of the Kra–Dai language family, characterized by tonal phonology and analytic grammar, spoken primarily in Southeast Asia by Tai ethnic 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.