Triple
T29958312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of Planaxis |
E760969
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Tomorrowland theme |
C52069
|
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: Tomorrowland theme Context triple: [The Story of Planaxis, instanceOf, Tomorrowland theme]
-
A.
Main Street, U.S.A. attraction
A Main Street, U.S.A. attraction is a themed entertainment venue or experience located along the nostalgic, early-20th-century American main street area of a Disney-style park, designed to evoke small-town charm and serve as a gateway to the rest of the park.
-
B.
Disney theme park attraction area
chosen
A Disney theme park attraction area is a themed section of the park that groups together rides, shows, shops, and dining experiences under a cohesive story, setting, or franchise.
-
C.
theme park setting
A theme park setting is a large, immersive entertainment environment organized around specific themes, featuring rides, attractions, performances, and themed areas designed to create a cohesive, fantastical experience for visitors.
-
D.
movie-themed park
A movie-themed park is an entertainment venue designed around films and cinematic universes, featuring rides, attractions, and immersive environments that recreate scenes, characters, and settings from popular movies.
-
E.
Pixar-themed attraction
A Pixar-themed attraction is an immersive entertainment experience that brings Pixar film worlds and characters to life through rides, interactive environments, and storytelling-based activities.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:28 p.m.