Triple
T6197917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaior |
E138554
|
entity |
| Predicate | usesLanguageVariety |
P41081
|
FINISHED |
| Object | Menorquí (Menorcan Catalan) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Menorquí (Menorcan Catalan) | Statement: [Alaior, usesLanguageVariety, Menorquí (Menorcan Catalan)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLanguageVariety Context triple: [Alaior, usesLanguageVariety, Menorquí (Menorcan Catalan)]
-
A.
primaryLanguageVariety
chosen
Indicates the main dialect or specific variety of a language that an entity primarily uses.
-
B.
hasColloquialVariety
Indicates that one linguistic form, expression, or variety is an informal, colloquial counterpart or version of another.
-
C.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
D.
usesLanguageFamily
Indicates that an entity communicates or operates using a language that belongs to a specified language family.
-
E.
usesWorkingLanguagesOf
Indicates that one entity employs or operates using the working languages associated with another entity.
- F. None of above.
Provenance (3 batches)
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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06251b47881909bd8d2ea37541959 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.