Triple
T4999000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia's Cafe |
E112319
|
entity |
| Predicate | locatedAtResortCategory |
P52373
|
FINISHED |
| Object | Disney Vacation Club resort |
—
|
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: Disney Vacation Club resort | Statement: [Olivia's Cafe, locatedAtResortCategory, Disney Vacation Club resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtResortCategory Context triple: [Olivia's Cafe, locatedAtResortCategory, Disney Vacation Club resort]
-
A.
partOfResortCategory
chosen
Indicates that something belongs to, or is classified within, a specific resort category.
-
B.
locatedInResortTown
Indicates that something is situated within the boundaries of a town that is primarily known as a resort or vacation destination.
-
C.
partOfResortComplexWith
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.
reservationLocatedIn
Indicates that a reservation (such as a booking or held resource) is situated within or associated with a specific location or place.
-
E.
reservationLocatedAlong
Indicates that a reservation is situated along, adjacent to, or following the course or extent of a specified linear feature such as a road, river, or boundary.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.