Triple
T1701264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GDPFS |
E36771
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | global data-processing and forecasting system |
C11919
|
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: global data-processing and forecasting system Context triple: [GDPFS, instanceOf, global data-processing and forecasting system]
-
A.
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.
-
B.
component of Global Data-processing and Forecasting System
A component of the Global Data-processing and Forecasting System is a modular subsystem that ingests, transforms, analyzes, or disseminates environmental data to support the generation and delivery of timely, accurate global forecasts.
-
C.
cyclical forecasting system
A cyclical forecasting system is a predictive framework that analyzes recurring patterns and periodic trends in data to anticipate future states or events over repeating time intervals.
-
D.
meteorological data communication network
A meteorological data communication network is a system of interconnected sensors, transmission links, and processing nodes that collect, transmit, and distribute weather and atmospheric data in real time.
-
E.
global operational system
A global operational system is an integrated framework of processes, technologies, and governance structures that coordinates and manages activities across international boundaries to ensure consistent, efficient, and reliable operations worldwide.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:30 p.m.