Triple
T23282088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weather Center Live |
E588891
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | forecast program |
C11687
|
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: forecast program Context triple: [Weather Center Live, instanceOf, forecast program]
-
A.
forecasting software
Forecasting software is a digital tool that uses historical data, statistical models, and algorithms to predict future trends, values, or events for planning and decision-making.
-
B.
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.
-
C.
operational forecast product
chosen
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.
-
D.
forecasting report series
A forecasting report series is a recurring set of structured documents that present projected future conditions, trends, or outcomes over time based on analyzed data and modeling.
-
E.
financial forecasting model
A financial forecasting model is a computational framework that uses historical and current financial data, along with statistical or machine learning techniques, to predict future financial outcomes such as revenues, expenses, cash flows, or asset prices.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 4:58 p.m.