Triple
T36487412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OCM |
E898969
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ocean colour sensor |
C28986
|
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: ocean colour sensor Context triple: [OCM, instanceOf, ocean colour sensor]
-
A.
ocean observing program
An ocean observing program is a coordinated, long-term effort that systematically measures and monitors physical, chemical, biological, and geological properties of the ocean to support research, forecasting, and resource management.
-
B.
spaceborne imaging spectrometer
chosen
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.
autonomous oceanographic instrument
An autonomous oceanographic instrument is a self-contained, untethered device designed to operate independently in marine environments, collecting and transmitting physical, chemical, or biological ocean data over extended periods without direct human intervention.
-
D.
coastal observatory
A coastal observatory is a facility equipped with instruments and systems to monitor, measure, and analyze physical, chemical, biological, and meteorological conditions in coastal and nearshore marine environments.
-
E.
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.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:10 p.m.