Triple
T24546024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Lau |
E607227
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variety of Lau language |
C48865
|
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: variety of Lau language Context triple: [Northern Lau, instanceOf, variety of Lau language]
-
A.
variety of Fang language
A variety of Fang language is a specific regional or social form of the Fang language distinguished by unique phonological, lexical, or grammatical features while remaining mutually intelligible with other Fang forms.
-
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.
variety of the Zhuang language
A variety of the Zhuang language is a distinct regional or social form of Zhuang characterized by its own phonological, lexical, and grammatical features while remaining mutually intelligible to varying degrees with other Zhuang varieties.
-
D.
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.
-
E.
variety of Tat language
A variety of Tat language is a distinct regional or social form of the Tat language characterized by unique phonological, lexical, and grammatical features within the broader Tat-speaking community.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
Created at: April 18, 2026, 2:27 a.m.