Triple
T10376731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argo program |
E244526
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate observing system |
C3916
|
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: climate observing system Context triple: [Argo program, instanceOf, climate observing system]
-
A.
climate system
The climate system is the interconnected set of components—including the atmosphere, oceans, land surface, cryosphere, and biosphere—that together determine Earth’s long-term weather patterns and energy balance.
-
B.
ocean observing program
chosen
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.
-
C.
climate model
A climate model is a computational representation of the Earth’s climate system that simulates interactions among the atmosphere, oceans, land surface, and ice to project past, present, and future climate conditions.
-
D.
climate research center
A climate research center is an institution dedicated to studying the Earth's climate system, analyzing environmental data, and developing scientific insights to understand and address climate change.
-
E.
meteorological infrastructure
Meteorological infrastructure comprises the interconnected network of instruments, stations, communication systems, and data-processing facilities used to observe, measure, and analyze atmospheric conditions for weather forecasting and climate monitoring.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 12:02 p.m.