Triple
T8718078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Weather Service Forecast Office Norman |
E206944
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | National Weather Service forecast office |
C22419
|
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: National Weather Service forecast office Context triple: [National Weather Service Forecast Office Norman, instanceOf, National Weather Service forecast office]
-
A.
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.
-
B.
NOAA facility
chosen
A NOAA facility is a physical site or installation operated or supported by the National Oceanic and Atmospheric Administration for conducting environmental observations, research, operations, or public services related to oceans, atmosphere, and climate.
-
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.
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.
-
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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.