Triple
T21635417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merina Malagasy |
E533946
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variety of Malagasy language |
C45098
|
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: variety of Malagasy language Context triple: [Merina Malagasy, instanceOf, variety of Malagasy language]
-
A.
variety of Tongan language
A variety of Tongan language is a distinct form or dialect of Tongan characterized by unique phonological, lexical, or grammatical features associated with a particular region, community, or social group.
-
B.
variety of Marshallese language
A variety of Marshallese language is a distinct regional or social form of Marshallese characterized by unique phonological, lexical, or grammatical features while remaining mutually intelligible with other forms.
-
C.
variety of Swahili
A variety of Swahili is a distinct form of the Swahili language characterized by specific regional, social, or functional linguistic features in its phonology, grammar, and vocabulary.
-
D.
variety of Fang language
A variety of Fang language is a specific regional or social form of the Fang language distinguished by unique phonological, lexical, or grammatical features while remaining mutually intelligible with other Fang forms.
-
E.
variety of Tat language
A variety of Tat language is a distinct regional or social form of the Tat language characterized by unique phonological, lexical, and grammatical features within the broader Tat-speaking community.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:35 p.m.