Triple
T10196991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Near Infrared Camera and Multi-Object Spectrometer |
E238787
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | near-infrared spectrometer |
C3414
|
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 spectrometer Context triple: [Near Infrared Camera and Multi-Object Spectrometer, instanceOf, near-infrared spectrometer]
-
A.
near-infrared spectrograph
chosen
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.
-
B.
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.
-
C.
spectroscopic instrument
A spectroscopic instrument is a device that disperses electromagnetic radiation into its component wavelengths and measures their intensities to determine the physical or chemical properties of a sample.
-
D.
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.
-
E.
near-infrared camera
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.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 9:13 p.m.