Triple
T28400497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Producing Centres for Long-Range Forecasts |
E719382
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate prediction service system |
C23665
|
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: climate prediction service system Context triple: [Global Producing Centres for Long-Range Forecasts, instanceOf, climate prediction service system]
-
A.
climate forecast product
A climate forecast product is an information package that provides scientifically derived predictions of future climate conditions (such as temperature, precipitation, or extreme events) over specified regions and time horizons to support planning and decision-making.
-
B.
climate services framework
chosen
A climate services framework is a structured approach that connects climate data, tools, and expertise with user needs to support informed decision-making and climate-resilient planning across sectors.
-
C.
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.
-
D.
climate model
A climate model is a computational representation of the Earth’s climate system that simulates interactions among the atmosphere, oceans, land surface, and ice to project past, present, and future climate conditions.
-
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.