Triple
T16430432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEOS-FP |
E399058
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | GEOS modeling system configuration |
C14576
|
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: GEOS modeling system configuration Context triple: [GEOS-FP, instanceOf, GEOS modeling system configuration]
-
A.
Earth system model suite
chosen
A comprehensive collection of interconnected Earth system models designed to simulate and analyze the interactions among the atmosphere, oceans, land, ice, and biosphere under varying conditions and scenarios.
-
B.
geophysical model
A geophysical model is a mathematical or computational representation of Earth's physical properties and processes used to simulate, interpret, and predict geologic and geodynamic phenomena.
-
C.
standardized climate modeling input
A standardized climate modeling input is a consistently formatted, quality-controlled dataset or parameter set designed to ensure comparability, reproducibility, and interoperability across different climate models and simulations.
-
D.
geodetic parameter set
A geodetic parameter set is a collection of numerical values and reference definitions (such as ellipsoid parameters, datums, and coordinate system constants) used to precisely describe positions and shapes on or near the Earth’s surface.
-
E.
atmospheric general circulation model
An atmospheric general circulation model is a complex numerical model that simulates the three-dimensional, large-scale movement of air and energy in Earth’s atmosphere to study and predict climate and weather patterns.
- 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.