Triple
T637414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai language |
E16655
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tai language |
C5794
|
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: Tai language Context triple: [Thai language, instanceOf, Tai language]
-
A.
Chibchan language
A Chibchan language is a member of a family of indigenous languages spoken primarily in Central America and northern South America, characterized by shared grammatical and phonological features reflecting a common ancestral origin.
-
B.
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.
-
C.
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.
-
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.
Dravidian language
A Dravidian language is a member of a family of primarily South Indian and Sri Lankan languages, such as Tamil, Telugu, Kannada, and Malayalam, that share common historical origins and structural features distinct from Indo-European languages.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:35 p.m.