Triple
T27870806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Flowery Miao |
E704485
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Miao language variety |
C53464
|
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: Miao language variety Context triple: [Small Flowery Miao, instanceOf, Miao language variety]
-
A.
Zhuang language variety
A Zhuang language variety is a specific regional or social form of the Zhuang language, characterized by distinct phonological, lexical, and grammatical features within the broader Tai language continuum.
-
B.
Yao language variety
A Yao language variety is a specific regional or social form of the Yao language, distinguished by its own characteristic phonological, lexical, and grammatical features within the broader Yao linguistic continuum.
-
C.
regional variety of Jingpo language
A regional variety of the Jingpo language is a geographically or socially distinct form of Jingpo characterized by unique phonological, lexical, or grammatical features while remaining mutually intelligible with other Jingpo varieties.
-
D.
Kaili language variety
The Kaili language variety is a group of closely related Austronesian dialects spoken primarily in Central Sulawesi, Indonesia, characterized by shared grammatical structures but notable phonological and lexical differences between communities.
-
E.
Kaqchikel language variety
The Kaqchikel language variety is a Mayan language spoken primarily in the central highlands of Guatemala, characterized by its agglutinative morphology, ergative-absolutive alignment, and rich system of aspect and status markers.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 27, 2026, 6:24 p.m.