Triple
T796124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolinian |
E17025
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Micronesian language |
C967
|
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: Micronesian language Context triple: [Carolinian, instanceOf, Micronesian language]
-
A.
Malayo-Polynesian language
A Malayo-Polynesian language is a member of a large branch of the Austronesian language family spoken across Southeast Asia, Madagascar, and the Pacific islands, characterized by shared phonological, grammatical, and lexical features.
-
B.
Austronesian language
chosen
An Austronesian language is any member of a large family of languages spoken from Madagascar across Island Southeast Asia and the Pacific to Easter Island, characterized by shared phonological, grammatical, and lexical features tracing back to a common ancestral tongue.
-
C.
Austroasiatic language
An Austroasiatic language is a member of a large language family native to Southeast Asia and parts of South Asia, including languages such as Vietnamese, Khmer, and Mon.
-
D.
Indigenous language
An Indigenous language is a native tongue traditionally spoken by the original inhabitants of a region, embodying their cultural knowledge, identity, and worldview.
-
E.
Inuit language
Inuit language is a group of closely related Indigenous languages spoken across the Arctic regions of Alaska, Canada, and Greenland, characterized by polysynthetic word formation and rich expression of environmental and cultural concepts.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:38 p.m.