Triple
T5698650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispano-Romance dialects |
E125603
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | group of Romance dialects |
C5354
|
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: group of Romance dialects Context triple: [Hispano-Romance dialects, instanceOf, group of Romance dialects]
-
A.
group of dialects
chosen
A group of dialects is a set of closely related language varieties that share common structural features and a historical or geographic connection within a larger language.
-
B.
Romance language variety
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.
-
C.
Eastern Romance language
An Eastern Romance language is a member of the Romance branch of the Indo-European language family that evolved from Eastern varieties of Vulgar Latin, primarily spoken in the Balkans and surrounding regions.
-
D.
group of English dialects
A group of English dialects is a collection of regionally or socially distinct varieties of the English language that share common linguistic features while differing in pronunciation, vocabulary, and grammar from other such groups.
-
E.
Gallo-Italic language
A Gallo-Italic language is a member of a group of Romance languages spoken primarily in northern Italy and parts of Switzerland, characterized by features intermediate between Gallo-Romance (like French) and Italo-Romance (like standard Italian).
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
Created at: March 22, 2026, 3:45 p.m.