Triple
T29866674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | glTF |
E758479
|
entity |
| Predicate | supportsSceneExtension |
—
|
GENERATED |
| Object | KHR_mesh_quantization |
—
|
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: supportsSceneExtension Context triple: [glTF, supportsSceneExtension, KHR_mesh_quantization]
-
A.
supportsScene
Indicates that one entity provides the necessary structure, resources, or compatibility for a particular scene or scenario to function or be presented.
-
B.
supportsSceneEditing
Indicates that an entity provides the capability to modify, arrange, or otherwise edit a scene within a given environment or application.
-
C.
supportsExtensionsFrom
chosen
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
-
D.
supportsExtensionModel
Indicates that one entity provides compatibility or functionality for using a specified extension model associated with another entity.
-
E.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:51 p.m.