Triple
T38367682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfall Fight |
E892492
|
entity |
| Predicate | featuredInSceneLocation |
—
|
GENERATED |
| Object | Wakandan waterfall |
—
|
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: featuredInSceneLocation Context triple: [Waterfall Fight, featuredInSceneLocation, Wakandan waterfall]
-
A.
hasSceneLocation
chosen
Indicates that a scene or event takes place at, or is set in, a specific location.
-
B.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
C.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
D.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
E.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.