Triple
T21604099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coupled Model Intercomparison Project |
E533124
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate modeling project |
C36689
|
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 modeling project Context triple: [Coupled Model Intercomparison Project, instanceOf, climate modeling project]
-
A.
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.
-
B.
climate research program
chosen
A climate research program is an organized, long-term initiative that systematically studies climate systems, impacts, and solutions through coordinated scientific investigations, data collection, and analysis.
-
C.
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.
-
D.
Earth system model configuration
An Earth system model configuration is a specific setup of model components, parameter values, boundary conditions, and coupling strategies used to simulate the interactions of the atmosphere, ocean, land, cryosphere, and biosphere under defined scenarios.
-
E.
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.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
Created at: April 16, 2026, 6:33 p.m.