Triple
T6961871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Aero |
E161387
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | augmented reality viewing application |
C9938
|
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 viewing application Context triple: [Adobe Aero, instanceOf, augmented reality viewing 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.
viewing platform
A viewing platform is an elevated, often open structure designed to provide people with a safe, unobstructed vantage point for observing the surrounding environment or specific points of interest.
-
C.
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.
-
D.
spatial computing platform
chosen
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.
wearable camera device
A wearable camera device is a compact, body-mounted gadget that continuously or on-demand captures photos and videos from the user’s point of view for documentation, communication, or analysis.
- 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.