Triple
T2079950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean |
E45215
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | East Asian language |
C7366
|
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: East Asian language Context triple: [Korean, instanceOf, East Asian language]
-
A.
Sinitic language
A Sinitic language is any member of the Chinese branch of the Sino-Tibetan language family, characterized by tonal phonology, analytic grammar, and a shared historical connection to Classical Chinese.
-
B.
Japonic languages
chosen
Japonic languages are a small language family native to Japan and nearby regions, including Japanese and the Ryukyuan languages, characterized by shared grammatical structures and historical origins.
-
C.
Sino-Tibetan language
A Sino-Tibetan language is any member of a large language family, including Chinese and Tibeto-Burman languages, characterized by shared historical origins in East and Southeast Asia and often featuring tonal systems and analytic grammar.
-
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.
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.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
Created at: March 4, 2026, 7:41 p.m.