Triple
T36096606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSU-SK scanner |
E1044078
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | multispectral scanner |
C64364
|
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: multispectral scanner Context triple: [MSU-SK scanner, instanceOf, multispectral scanner]
-
A.
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.
-
B.
spaceborne imaging spectrometer
A spaceborne imaging spectrometer is an instrument mounted on a satellite that captures images across many narrow, contiguous spectral bands to measure and analyze the spectral properties of Earth's surface and atmosphere.
-
C.
X-ray imaging spectrometer
An X-ray imaging spectrometer is an instrument that simultaneously records the spatial distribution and energy spectrum of incoming X-ray photons to produce detailed, energy-resolved images of a source.
-
D.
scatterometer
A scatterometer is a remote sensing instrument that measures the reflection or scattering of microwave radar signals from surfaces, typically used to determine wind speed and direction over oceans or surface roughness on land.
-
E.
Raman spectrometer
A Raman spectrometer is an analytical instrument that uses monochromatic light to measure inelastically scattered photons from a sample, providing molecular vibrational information for chemical identification and characterization.
- F. None of above. chosen
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_69f76e32d60c8190ba781ffaaab4aa3d |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.