Triple
T9893320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manabe–Wetherald climate model |
E181508
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | one-dimensional climate model |
C26613
|
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: one-dimensional climate model Context triple: [Manabe–Wetherald climate model, instanceOf, one-dimensional climate model]
-
A.
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.
-
B.
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.
-
C.
Earth system model suite
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.
-
D.
numerical weather prediction model
A numerical weather prediction model is a computational system that uses mathematical equations and atmospheric data to simulate and forecast future weather conditions.
-
E.
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.
- F. None of above. chosen
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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 8:39 p.m.