Triple
T12925263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTHO |
E309227
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate forecasting product |
C11686
|
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 forecasting product Context triple: [GTHO, instanceOf, climate forecasting product]
-
A.
climate forecast product
chosen
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.
operational forecast product
An operational forecast product is a routinely produced, quality-controlled prediction output—such as weather, climate, or ocean conditions—designed for timely use in real-world decision-making and services.
-
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.
climate services framework
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.
-
E.
standardized climate modeling input
A standardized climate modeling input is a consistently formatted, quality-controlled dataset or parameter set designed to ensure comparability, reproducibility, and interoperability across different climate models and simulations.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
Created at: April 9, 2026, 5:42 p.m.