Triple
T19930792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Hotel New York (masterplan contribution) |
E479046
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Disneyland Paris development component |
C22503
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Disneyland Paris development component Context triple: [Disney’s Hotel New York (masterplan contribution), instanceOf, Disneyland Paris development component]
-
A.
Disneyland Paris partner hotel
A Disneyland Paris partner hotel is an officially affiliated accommodation located near the resort that offers themed stays, convenient access, and select Disney-related benefits without being directly inside the Disney-owned hotel portfolio.
-
B.
Disneyland Paris hotel
chosen
A Disneyland Paris hotel is a themed accommodation located within or near the Disneyland Paris resort, offering immersive Disney experiences, park proximity, and exclusive guest benefits.
-
C.
Disney Parks technology product
A Disney Parks technology product is a digital or physical tech-based tool, system, or service designed to enhance, personalize, or manage guest experiences and operations within Disney theme parks and resorts.
-
D.
Tokyo Disney Resort hotel
A Tokyo Disney Resort hotel is an accommodation facility located within or near Tokyo Disney Resort that offers themed lodging, dining, and services tailored to guests visiting the resort’s parks and entertainment areas.
-
E.
official Disneyland Resort app
The official Disneyland Resort app is a mobile application that allows guests to plan and manage their visit by viewing park maps, wait times, entertainment schedules, dining options, and making reservations and Lightning Lane selections.
- F. None of above.
Provenance (1 batch)
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:53 p.m.