Triple
T16920755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentinel-2 |
E410437
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | optical imaging satellite |
C28991
|
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: optical imaging satellite Context triple: [Sentinel-2, instanceOf, optical imaging satellite]
-
A.
remote sensing satellite
chosen
A remote sensing satellite is an orbiting spacecraft equipped with sensors that collect data about the Earth's surface and atmosphere for applications such as mapping, environmental monitoring, and resource management.
-
B.
spaceborne imaging spectrometer
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.
-
C.
polar-orbiting satellite
A polar-orbiting satellite is a spacecraft that travels in a low Earth orbit passing close to the poles, allowing it to observe the entire Earth's surface over time as the planet rotates beneath it.
-
D.
military satellite
A military satellite is an artificial satellite deployed and operated by armed forces to support defense-related functions such as reconnaissance, communications, navigation, early warning, and targeting.
-
E.
remote sensing satellite constellation
A remote sensing satellite constellation is a coordinated network of satellites designed to collect and transmit Earth observation data—such as imagery, environmental measurements, and geospatial information—at high temporal and spatial resolution.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:30 a.m.