Triple
T16257527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIRTIS |
E394668
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | visible and infrared thermal imaging spectrometer |
C28986
|
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: visible and infrared thermal imaging spectrometer Context triple: [VIRTIS, instanceOf, visible and infrared thermal imaging spectrometer]
-
A.
infrared spectrograph
An infrared spectrograph is an instrument that disperses and records infrared light from a source to measure its intensity as a function of wavelength, enabling analysis of its physical and chemical properties.
-
B.
infrared detector
An infrared detector is a sensor device that identifies and measures infrared radiation, typically to detect heat sources or enable night vision and thermal imaging applications.
-
C.
spaceborne imaging spectrometer
chosen
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.
-
D.
infrared photometer
An infrared photometer is an instrument that measures the intensity of infrared radiation, typically to determine the energy output or properties of a source emitting in the infrared spectrum.
-
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.
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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:04 a.m.