Triple
T16430569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USGS EarthExplorer |
E399061
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | remote sensing data catalog |
C35890
|
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 data catalog Context triple: [USGS EarthExplorer, instanceOf, remote sensing data catalog]
-
A.
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.
-
B.
remote sensing experiment package
A remote sensing experiment package is an integrated set of instruments, software, and procedures designed to collect, process, and analyze data about Earth's surface or atmosphere from a distance, typically via satellites, aircraft, or drones.
-
C.
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.
-
D.
space mission data archive
chosen
A space mission data archive is a centralized, long-term repository that stores, organizes, preserves, and provides access to all scientific and engineering data products generated by space missions.
-
E.
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.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:10 a.m.