Triple
T16491916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean English creole continuum |
E400587
|
entity |
| Predicate | hasHigherVariety |
P123729
|
FINISHED |
| Object | acrolectal Caribbean English creole |
—
|
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: acrolectal Caribbean English creole | Statement: [Caribbean English creole continuum, hasHigherVariety, acrolectal Caribbean English creole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHigherVariety Context triple: [Caribbean English creole continuum, hasHigherVariety, acrolectal Caribbean English creole]
-
A.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
B.
hasApproximateNumberOfVarieties
Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
-
C.
hasNeighboringVariety
Indicates that one variety is geographically or spatially adjacent to another variety.
-
D.
has32Varieties
Indicates that one entity possesses or includes exactly 32 distinct types, forms, or varieties of another entity.
-
E.
hasContactVariety
Indicates that one entity is associated with a specific type or variety of contact information or communication channel.
- F. None of above. chosen
Provenance (4 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e300a248190a3d4ca96a0a176cf |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:13 a.m.