Triple
T3981712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian French |
E85772
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | variety of French language |
C5912
|
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 French language Context triple: [Belgian French, instanceOf, variety of French language]
-
A.
Romance language variety
chosen
A Romance language variety is a specific form or dialect of a Romance language, distinguished by its unique phonological, grammatical, and lexical features within the broader Romance language family.
-
B.
variety of the Greek language
A variety of the Greek language is a distinct form or dialect of Greek, characterized by specific phonological, grammatical, lexical, and pragmatic features used by a particular community or in a particular context.
-
C.
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.
-
D.
variety of the Spanish language
A variety of the Spanish language is a distinct form of Spanish characterized by specific phonological, grammatical, lexical, and pragmatic features associated with a particular geographic region, social group, or communicative context.
-
E.
variety of the Irish language
A variety of the Irish language is a distinct regional or social form of Irish characterized by particular phonological, grammatical, and lexical features shared by its speakers.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:33 p.m.