Triple
T24922051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Luzia |
E618755
|
entity |
| Predicate | hasCapeVerdeanCreoleVariant |
P84576
|
FINISHED |
| Object | Barlavento Creole influence |
—
|
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: Barlavento Creole influence | Statement: [Santa Luzia, hasCapeVerdeanCreoleVariant, Barlavento Creole influence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapeVerdeanCreoleVariant Context triple: [Santa Luzia, hasCapeVerdeanCreoleVariant, Barlavento Creole influence]
-
A.
hasCreoleLanguage
Indicates that an entity possesses, uses, or is associated with a creole language.
-
B.
hasLinguisticVariety
chosen
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
C.
hasColloquialVariety
Indicates that one linguistic form, expression, or variety is an informal, colloquial counterpart or version of another.
-
D.
languageFamilyOfMajorCreole
Indicates that a given language family is the primary source or base language group from which a particular major creole language is derived.
-
E.
officialLanguageVariant
Indicates that one language variety is an officially recognized form or version of another language within a specific jurisdiction or context.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:29 a.m.