Triple
T3860958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indo-Pacific linguistic area |
E90134
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | proposed linguistic macro-area |
C10361
|
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: proposed linguistic macro-area Context triple: [Indo-Pacific linguistic area, instanceOf, proposed linguistic macro-area]
-
A.
areal language grouping
chosen
An areal language grouping is a set of languages that share structural features due to geographic proximity and contact rather than common genetic origin.
-
B.
macrolanguage variety
A macrolanguage variety is a specific linguistic form or set of forms that functions as one distinguishable member within a broader macrolanguage encompassing multiple closely related or mutually recognized language varieties.
-
C.
group of language varieties
A group of language varieties is a conceptual class encompassing related dialects, sociolects, or registers that share a common linguistic base but differ in systematic ways across regions, communities, or contexts.
-
D.
dialect continuum
A dialect continuum is a range of geographically adjacent language varieties that change gradually from one area to the next, so that neighboring dialects are mutually intelligible but those at distant ends may not be.
-
E.
macrodialect
A macrodialect is a large, overarching dialect grouping that encompasses several closely related dialects or varieties treated as a single unit for linguistic or sociolinguistic analysis.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.