Triple
T34297629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyliner station at Disney’s Caribbean Beach Resort |
E880074
|
entity |
| Predicate | partOfResortArea |
P60302
|
FINISHED |
| Object | EPCOT Resort Area |
—
|
NE NERFINISHED |
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: EPCOT Resort Area | Statement: [Skyliner station at Disney’s Caribbean Beach Resort, partOfResortArea, EPCOT Resort Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfResortArea Context triple: [Skyliner station at Disney’s Caribbean Beach Resort, partOfResortArea, EPCOT Resort Area]
-
A.
partOfResortCategory
Indicates that something belongs to, or is classified within, a specific resort category.
-
B.
partOfSkiArea
Indicates that one entity is a component or subdivision within a larger ski area.
-
C.
partOfResortComplexWith
chosen
Indicates that one entity is a component or facility within the same resort complex as the other entity, forming part of a shared resort property.
-
D.
locatedInResortTown
Indicates that something is situated within the boundaries of a town that is primarily known as a resort or vacation destination.
-
E.
containsResortArea
Indicates that one location or region includes within its boundaries a designated resort area.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0042524d8c8190884a10fce669ae95 |
completed | May 10, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_6a0041e89bd881909e32764699bcb89b |
completed | May 10, 2026, 8:29 a.m. |
Created at: May 1, 2026, 1:57 a.m.