Triple
T28729857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassini radar altimetry |
E730626
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | radar altimetry technique |
C28989
|
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: radar altimetry technique Context triple: [Cassini radar altimetry, instanceOf, radar altimetry technique]
-
A.
remote sensing technique
chosen
A remote sensing technique is a method for acquiring information about objects or areas from a distance, typically using satellite or airborne sensors that detect and measure reflected or emitted electromagnetic radiation.
-
B.
spaceborne radar sounder
A spaceborne radar sounder is an orbital remote sensing instrument that transmits radio waves toward a planetary body and records their echoes to probe and map subsurface structures and properties.
-
C.
radar technology
Radar technology is a system that uses radio waves to detect, locate, and track objects by transmitting signals and analyzing the echoes reflected back from targets.
-
D.
spaceborne synthetic aperture radar instrument
A spaceborne synthetic aperture radar instrument is an orbiting radar system that transmits microwave pulses and uses the motion of the spacecraft to synthesize a large antenna aperture, producing high-resolution images of Earth's surface regardless of weather or lighting conditions.
-
E.
laser altimeter
A laser altimeter is a remote sensing instrument that measures the distance from the sensor to a surface by timing the round-trip travel of laser pulses, enabling precise elevation or topographic mapping.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 28, 2026, 5:58 a.m.