Triple
T13465009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ANDICAM |
E311473
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | dual-channel imager |
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: dual-channel imager Context triple: [ANDICAM, instanceOf, dual-channel imager]
-
A.
imager
chosen
An imager is a component or system that captures, generates, or processes visual representations of data, scenes, or objects into image form.
-
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.
speckle imaging camera
A speckle imaging camera is a specialized high-speed imaging device that captures many short-exposure frames to reconstruct high-resolution images by analyzing and processing speckle patterns caused by atmospheric or medium-induced distortions.
-
D.
imaging architecture
Imaging architecture is the conceptual and technical framework that defines how imaging components, data flows, and processing pipelines are organized and integrated to capture, transform, analyze, and deliver visual information.
-
E.
multispectral targeting system
A multispectral targeting system is an integrated sensor and processing suite that detects, tracks, and designates targets across multiple parts of the electromagnetic spectrum (e.g., visible, infrared, and radar) to enhance accuracy 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:41 p.m.