Triple
T24645110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikoku dialects |
E610086
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | regional dialects of Japanese |
C3433
|
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: regional dialects of Japanese Context triple: [Shikoku dialects, instanceOf, regional dialects of Japanese]
-
A.
Japanese dialect
chosen
A Japanese dialect is a regional or social variety of the Japanese language characterized by distinct pronunciation, vocabulary, and grammar differences from the standard form.
-
B.
Kansai dialect
Kansai dialect is a group of Japanese dialects spoken in the Kansai region, characterized by distinctive pronunciation, vocabulary, and intonation often associated with humor and friendliness.
-
C.
Unami dialect
The Unami dialect is a historical variety of the Lenape (Delaware) language traditionally spoken by the Unami division of the Lenape people in parts of what are now Pennsylvania, New Jersey, and Delaware.
-
D.
Hokkien dialect
Hokkien dialect is a group of Southern Min Chinese varieties spoken primarily in Taiwan, Fujian, and Southeast Asian Chinese communities, known for its rich tonal system and distinct vocabulary from Mandarin.
-
E.
regional dialect of the Amami language
A regional dialect of the Amami language is a localized variety spoken in a specific area of the Amami Islands, characterized by distinct phonological, lexical, and grammatical features that differentiate it from other Amami dialects and from standard Japanese.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
Created at: April 18, 2026, 2:33 a.m.