Triple
T2571522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Bonairians |
E57673
|
entity |
| Predicate | traditionalLanguageRole |
P28395
|
FINISHED |
| Object | Papiamentu as primary vernacular |
—
|
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: Papiamentu as primary vernacular | Statement: [Afro-Bonairians, traditionalLanguageRole, Papiamentu as primary vernacular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalLanguageRole Context triple: [Afro-Bonairians, traditionalLanguageRole, Papiamentu as primary vernacular]
-
A.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject entity.
-
B.
languageStandardizationRole
Indicates the role an entity plays in establishing, maintaining, or influencing the standardization of a language.
-
C.
languageCharacterizedBy
Indicates that a language is defined or distinguished by a particular feature, property, or characteristic.
-
D.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
E.
traditionalSpeakers
chosen
Indicates that the subject speaks a language in its traditional or heritage form, typically as part of a longstanding cultural or community practice.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd383dce881909411a38c6d37bc3a |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.