Triple
T4576227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Light Processing |
E123146
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | imaging technology |
C10675
|
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: imaging technology Context triple: [Digital Light Processing, instanceOf, imaging technology]
-
A.
mobile imaging technology
Mobile imaging technology encompasses portable, often handheld devices and systems that capture, process, and transmit visual or sensor-based images for applications such as diagnostics, surveillance, mapping, and consumer photography.
-
B.
high-dynamic-range imaging technology
High-dynamic-range imaging technology is a method of capturing, processing, and displaying images with a wider range of luminance and color than standard imaging, preserving detail in both very bright and very dark areas.
-
C.
imaging preparation method
An imaging preparation method is a systematic procedure used to treat, condition, or configure a sample, subject, or environment to enable or enhance the acquisition of meaningful images by an imaging system.
-
D.
imager
chosen
An imager is a component or system that captures, generates, or processes visual representations of data, scenes, or objects into image form.
-
E.
medical technology division
A medical technology division is an organizational unit within a healthcare or life sciences entity responsible for developing, evaluating, and managing medical devices, diagnostic tools, and related technologies to support clinical care and research.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
Created at: March 20, 2026, 1:10 p.m.