Triple
T9808357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrain Mapping Camera 2 |
E238207
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | spaceborne camera |
C10634
|
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: spaceborne camera Context triple: [Terrain Mapping Camera 2, instanceOf, spaceborne camera]
-
A.
spacecraft camera system
chosen
A spacecraft camera system is an integrated assembly of optical, sensor, processing, and control components designed to capture, process, and transmit images or video of space, celestial bodies, or spacecraft surroundings under the extreme conditions of spaceflight.
-
B.
spaceborne radiometer
A spaceborne radiometer is an instrument mounted on a satellite that measures the intensity of electromagnetic radiation emitted, reflected, or scattered by the Earth or other celestial bodies to infer physical properties such as temperature, composition, and surface characteristics.
-
C.
space telescope hardware
Space telescope hardware comprises the physical components—such as mirrors, detectors, support structures, and control systems—designed to operate in space to collect and transmit astronomical data beyond Earth’s atmosphere.
-
D.
spacecraft
A spacecraft is a vehicle or device designed to travel beyond Earth's atmosphere for purposes such as exploration, communication, research, or transportation.
-
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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:29 p.m.