Triple
T33094780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camera 2 |
E846879
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | near-infrared imaging camera |
C3412
|
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: near-infrared imaging camera Context triple: [Camera 2, instanceOf, near-infrared imaging camera]
-
A.
near-infrared camera
chosen
A near-infrared camera is a device that captures images using near-infrared wavelengths just beyond visible light, enabling visualization of features not detectable by standard cameras.
-
B.
submillimeter camera
A submillimeter camera is an imaging device that detects and records electromagnetic radiation in the submillimeter wavelength range, enabling observations of cold astronomical objects and structures obscured at optical wavelengths.
-
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.
near-infrared spectrograph
A near-infrared spectrograph is an instrument that disperses and measures light in the near-infrared wavelength range to analyze the composition, temperature, and other properties of astronomical or laboratory targets.
-
E.
infrared instrument
An infrared instrument is a device designed to detect, measure, or image infrared radiation, typically for applications such as thermal imaging, spectroscopy, remote sensing, or temperature monitoring.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:26 a.m.