Triple
T32920299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuangfeng Old Xiang |
E842126
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Old Xiang dialect |
C58681
|
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: Old Xiang dialect Context triple: [Shuangfeng Old Xiang, instanceOf, Old Xiang dialect]
-
A.
Hakka dialect
Hakka dialect is a group of closely related Sinitic varieties spoken primarily by the Hakka people, characterized by distinct phonology, vocabulary, and grammar that set it apart from Mandarin, Cantonese, and other Chinese dialects.
-
B.
Eastern Min dialect
The Eastern Min dialect is a branch of the Min Chinese language group spoken primarily in eastern Fujian province, characterized by significant phonological and lexical differences from Mandarin and other Chinese dialects.
-
C.
Kaili dialect
The Kaili dialect is a regional variety of the Kaili language spoken in Central Sulawesi, Indonesia, characterized by distinct phonological, lexical, and grammatical features that differentiate it from other local Austronesian languages and dialects.
-
D.
Jin Chinese dialect
Jin Chinese dialect is a group of closely related Sinitic varieties spoken primarily in Shanxi and surrounding regions, often considered distinct from Mandarin due to its unique phonological and lexical features.
-
E.
Southern Luo language
Southern Luo language is a group of closely related Nilotic languages spoken primarily around Lake Victoria in Kenya, Tanzania, and Uganda, known for their shared grammatical structures and mutual intelligibility.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:19 a.m.