Triple
T13692695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real-time Multivariate MJO index |
E328307
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | atmospheric–oceanic diagnostic tool |
C22901
|
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: atmospheric–oceanic diagnostic tool Context triple: [Real-time Multivariate MJO index, instanceOf, atmospheric–oceanic diagnostic tool]
-
A.
atmospheric–oceanic oscillation
An atmospheric–oceanic oscillation is a large-scale, recurring pattern of coupled variations in the atmosphere and ocean that influences climate and weather over seasonal to multidecadal timescales.
-
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.
meteorological decision-support tool
chosen
A meteorological decision-support tool is a system that integrates weather data, forecasts, and analytical models to help users make informed operational and strategic decisions based on atmospheric conditions.
-
D.
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.
-
E.
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.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.