Triple
T22251157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliassen–Palm flux |
E549981
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | diagnostic tool in meteorology |
C46002
|
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: diagnostic tool in meteorology Context triple: [Eliassen–Palm flux, instanceOf, diagnostic tool in meteorology]
-
A.
meteorological decision-support tool
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.
-
B.
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.
-
C.
work on meteorology
Work on meteorology encompasses the systematic study, observation, and modeling of atmospheric processes to understand and predict weather and climate phenomena.
-
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.
component of Global Data-processing and Forecasting System
A component of the Global Data-processing and Forecasting System is a modular subsystem that ingests, processes, analyzes, or disseminates environmental data to support the generation and delivery of global forecasts and related products.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:39 p.m.