Triple
T36193145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSU-E2 scanner |
E1047044
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | remote sensing scanner |
C55199
|
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: remote sensing scanner Context triple: [MSU-E2 scanner, instanceOf, remote sensing scanner]
-
A.
remote sensing technique
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.
remote sensing satellite
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.
-
C.
scatterometer
chosen
A scatterometer is a remote sensing instrument that measures the reflection or scattering of microwave radar signals from surfaces, typically used to determine wind speed and direction over oceans or surface roughness on land.
-
D.
remote sensing mission
A remote sensing mission is an organized effort that uses satellite or airborne sensors to systematically collect, transmit, and analyze data about the Earth's surface, atmosphere, or oceans without direct physical contact.
-
E.
remote sensing experiment
A remote sensing experiment is a systematic investigation that uses sensors on satellites, aircraft, or ground-based platforms to collect and analyze data about the Earth's surface or atmosphere without direct physical contact.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.