Triple
T24757334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numbami language |
E619326
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Bel language |
C49128
|
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: Bel language Context triple: [Numbami language, instanceOf, Bel language]
-
A.
Celebic language
A Celebic language is a member of a subgroup of the Austronesian language family spoken primarily on the island of Sulawesi and nearby smaller islands in Indonesia, characterized by shared phonological and grammatical innovations.
-
B.
Mon language
Mon language is an Austroasiatic language historically spoken by the Mon people of Myanmar and Thailand, notable for its ancient inscriptions and significant influence on the region’s scripts and cultures.
-
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.
Iban language
The Iban language is an Austronesian language spoken primarily by the Iban people of Sarawak in Malaysian Borneo, known for its rich oral tradition and use in both everyday communication and cultural practices.
-
E.
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.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 4:26 a.m.