Triple
T24478807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siya |
E617307
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Avatime language |
C49058
|
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: Avatime language Context triple: [Siya, instanceOf, Avatime language]
-
A.
Agta language
Agta language is a group of closely related Austronesian languages spoken by the Agta (Aeta) hunter-gatherer communities of northeastern Luzon in the Philippines, characterized by significant dialectal variation and influence from neighboring Philippine languages.
-
B.
Zenati language
The Zenati language is a conceptual class representing a branch of Berber languages characterized by shared phonological, morphological, and lexical features that distinguish it from other Afroasiatic language groups.
-
C.
Batanic language
The Batanic language is a subgroup of Austronesian languages spoken primarily in the Batanes Islands of the northern Philippines and nearby areas, characterized by shared phonological and lexical features distinct from neighboring Philippine languages.
-
D.
Andic language
An Andic language is a member of a small subgroup of the Northeast Caucasian language family spoken primarily in the western part of Dagestan, Russia, characterized by complex phonology and rich morphological systems.
-
E.
Jarawan language
The Jarawan language is a group of Bantu-related, but geographically isolated and poorly documented, Niger-Congo languages spoken in parts of Nigeria and Cameroon.
- 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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:21 a.m.