Triple
T10376779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argos satellite system |
E244527
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | satellite-based data collection system |
C27979
|
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: satellite-based data collection system Context triple: [Argos satellite system, instanceOf, satellite-based data collection system]
-
A.
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.
-
B.
satellite-based augmentation system
A satellite-based augmentation system is an overlay to global navigation satellite systems that uses additional satellites and ground stations to provide improved accuracy, integrity, and availability for positioning and navigation services.
-
C.
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.
-
D.
satellite program
A satellite program is an organized initiative that designs, builds, launches, and operates satellites to achieve specific objectives such as communication, Earth observation, navigation, or scientific research.
-
E.
polar-orbiting weather satellite program
A polar-orbiting weather satellite program is a coordinated system of satellites in near-polar orbits that provide global, high-resolution observations of atmospheric, oceanic, and surface conditions for weather forecasting and climate monitoring.
- F. None of above. chosen
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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 12:02 p.m.