Triple
T7777860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warning Decision Support System – Integrated Information |
E221439
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | weather analysis software |
C11919
|
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: weather analysis software Context triple: [Warning Decision Support System – Integrated Information, instanceOf, weather analysis software]
-
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.
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.
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.
meteorologist
A meteorologist is a scientist who studies the atmosphere and uses data and models to forecast weather and analyze climate patterns.
-
E.
global data-processing and forecasting system
chosen
A global data-processing and forecasting system is an integrated platform that ingests, cleans, analyzes, and models large-scale, heterogeneous data from worldwide sources to generate timely predictions and insights for decision-making.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
Created at: March 30, 2026, 4:16 p.m.