Triple
T21172669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen school of meteorology cyclone model |
E521729
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cyclone model |
C14578
|
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: cyclone model Context triple: [Bergen school of meteorology cyclone model, instanceOf, cyclone model]
-
A.
anticyclonic storm
An anticyclonic storm is a large-scale weather system characterized by high atmospheric pressure at its center and winds that rotate opposite to the typical cyclonic direction for that hemisphere, often bringing clearer and more stable conditions.
-
B.
numerical weather prediction model
chosen
A numerical weather prediction model is a computational system that uses mathematical equations and atmospheric data to simulate and forecast future weather conditions.
-
C.
wind turbine model
A wind turbine model is a conceptual or physical representation that simulates the structure, behavior, and performance of a wind turbine under various environmental and operational conditions.
-
D.
hurricane intensity scale
A hurricane intensity scale is a standardized system that categorizes hurricanes based on their sustained wind speeds and potential for damage.
-
E.
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.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
Created at: April 16, 2026, 3 p.m.