Triple
T32807326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scene Explorer |
E839054
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hierarchical scene management tool |
C25132
|
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: hierarchical scene management tool Context triple: [Scene Explorer, instanceOf, hierarchical scene management tool]
-
A.
3D scene description framework
chosen
A 3D scene description framework is a structured system for representing, organizing, and exchanging information about objects, materials, lighting, and spatial relationships within a three-dimensional environment.
-
B.
3D asset management system
A 3D asset management system is a software platform that organizes, stores, tracks, and facilitates the retrieval and reuse of 3D models, textures, and related digital assets across projects and teams.
-
C.
3D rendering application
A 3D rendering application is software that generates photorealistic or stylized images and animations from 3D models by simulating lighting, materials, and camera perspectives.
-
D.
3D rendering engine
A 3D rendering engine is a software component that transforms 3D scene data—geometry, materials, lighting, and camera parameters—into 2D images or frames through processes like rasterization or ray tracing.
-
E.
advanced terrain management system
An advanced terrain management system is a software framework that models, edits, optimizes, and renders complex, large-scale landscapes in real time while integrating environmental data, physics, and user-defined rules for dynamic terrain behavior.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:15 a.m.