Triple
T36796679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lens Explorer |
E909202
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | augmented reality discovery interface |
C8396
|
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 discovery interface Context triple: [Lens Explorer, instanceOf, augmented reality discovery interface]
-
A.
mixed reality headset family
A mixed reality headset family is a collection of related head-mounted devices that blend physical and digital environments, sharing a common platform, design language, and interaction paradigms while varying in capabilities, form factors, and target use cases.
-
B.
discovery system
chosen
A discovery system is a software framework that automatically identifies, aggregates, and surfaces relevant information, patterns, or resources from large, diverse data sources to support exploration and decision-making.
-
C.
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.
-
D.
visual discovery engine
A visual discovery engine is a system that helps users explore and find relevant content, products, or ideas primarily through images and visual cues rather than text-based search.
-
E.
mixed reality headset feature
A mixed reality headset feature is a specific capability or function that blends digital content with the physical environment to enhance user interaction, immersion, and situational awareness.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.