Triple
T303060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antillean Creole |
E6238
|
entity |
| Predicate | statusInMartinique |
P3712
|
FINISHED |
| Object | widely spoken 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: widely spoken vernacular | Statement: [Antillean Creole, statusInMartinique, widely spoken vernacular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInMartinique Context triple: [Antillean Creole, statusInMartinique, widely spoken vernacular]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
C.
deFactoStatus
chosen
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
-
D.
flagshipStatus
Indicates that an entity holds the primary or most prominent position within a group, organization, or collection, often serving as its leading or representative example.
-
E.
exportStatus
Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.