Triple
T6961870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Aero |
E161387
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | augmented reality authoring application |
C7002
|
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: augmented reality authoring application Context triple: [Adobe Aero, instanceOf, augmented reality authoring application]
-
A.
mixed reality operating system
A mixed reality operating system is a software platform that seamlessly integrates and manages virtual and physical environments, enabling users to interact with digital content overlaid onto the real world through spatial computing interfaces and devices.
-
B.
virtual reality environment
A virtual reality environment is a computer-generated, immersive 3D space that users can interact with in real time through specialized hardware and software, simulating presence in a digital world.
-
C.
authoring tool
chosen
An authoring tool is a software application that enables users to create, edit, and organize digital content—such as text, multimedia, and interactive elements—often without requiring programming expertise.
-
D.
spatial computing platform
A spatial computing platform is an integrated hardware and software environment that blends digital content with the physical world, enabling users to interact with 3D information and experiences in real space.
-
E.
real-time rendering technology
Real-time rendering technology is a class of systems and algorithms that generate and display interactive, visually coherent images or scenes at high frame rates, typically for applications like games, simulations, and virtual reality.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
Created at: March 27, 2026, 2:30 p.m.