Triple
T28400495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Producing Centres for Long-Range Forecasts |
E719382
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | meteorological institution network |
C2062
|
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 institution network Context triple: [Global Producing Centres for Long-Range Forecasts, instanceOf, meteorological institution network]
-
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
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 organization
A meteorological organization is an entity responsible for observing, analyzing, and forecasting atmospheric conditions to support weather prediction, climate monitoring, and related public and scientific services.
-
D.
World Meteorological Organization program
chosen
A World Meteorological Organization program is an organized international initiative coordinated by the WMO to standardize, support, and advance global meteorological, climatological, and hydrological observations, research, and services.
-
E.
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.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
Created at: April 28, 2026, 1:19 a.m.