Triple
T33291599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palais du Cinéma |
E852333
|
entity |
| Predicate | locatedInThemeParkArea |
—
|
GENERATED |
| Object | World Showcase |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInThemeParkArea Context triple: [Palais du Cinéma, locatedInThemeParkArea, World Showcase]
-
A.
locatedInThemeParkType
Indicates that an entity is situated within or belongs to a specific type or category of theme park.
-
B.
locatedInAmusementPark
Indicates that one entity is situated within or is part of an amusement park.
-
C.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
D.
hasThemeParkAreaType
Indicates that an entity is associated with a specific type or category of theme park area.
-
E.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
- F. None of above. chosen
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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:32 a.m.