Triple
T8204531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Data-processing Centres |
E191656
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | meteorological data-processing facility |
C2066
|
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: meteorological data-processing facility Context triple: [Global Data-processing Centres, instanceOf, meteorological data-processing facility]
-
A.
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.
-
B.
meteorological infrastructure
chosen
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.
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.
-
D.
global data-processing and forecasting system
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
-
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, transforms, analyzes, or disseminates environmental data to support the generation and delivery of timely, accurate global forecasts.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:43 p.m.