Triple
T8378885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CrIS |
E197640
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hyperspectral infrared sounder |
C15549
|
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: hyperspectral infrared sounder Context triple: [CrIS, instanceOf, hyperspectral infrared sounder]
-
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.
greenhouse gas monitoring satellite
A greenhouse gas monitoring satellite is an orbiting platform equipped with specialized sensors to detect, measure, and map atmospheric concentrations of gases like CO₂ and methane for climate and environmental analysis.
-
C.
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.
-
D.
Mars rover instrument
A Mars rover instrument is a specialized scientific device mounted on a Mars rover that measures, analyzes, or images the Martian environment and geology to support planetary research and exploration objectives.
-
E.
spectroscopic instrument
chosen
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.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
Created at: March 30, 2026, 6:02 p.m.