Triple
T6432826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Es Migjorn Gran |
E129818
|
entity |
| Predicate | hasLocalLanguageVariant |
P21937
|
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: [Es Migjorn Gran, hasLocalLanguageVariant, Menorquí (Menorcan Catalan)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalLanguageVariant Context triple: [Es Migjorn Gran, hasLocalLanguageVariant, Menorquí (Menorcan Catalan)]
-
A.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
B.
hasRegionalVariationsIn
Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
-
C.
linguisticVariant
Indicates that one linguistic form is an alternative version or expression of another within the same or closely related language context.
-
D.
hasSubLanguage
Indicates that one language is a subset, variant, or specialized form of another language.
-
E.
hasNameInLocalLanguage
chosen
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693de6ac81909f3e330363a52102 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:44 p.m.