Triple
T23036769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Fry Richardson |
E573618
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | pioneer of numerical weather prediction |
C47162
|
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: pioneer of numerical weather prediction Context triple: [Lewis Fry Richardson, instanceOf, pioneer of numerical weather prediction]
-
A.
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.
-
B.
work on meteorology
Work on meteorology encompasses the systematic study, observation, and modeling of atmospheric processes to understand and predict weather and climate phenomena.
-
C.
component of Global Data-processing and Forecasting System
A component of the Global Data-processing and Forecasting System is a modular subsystem that ingests, processes, analyzes, or disseminates environmental data to support the generation and delivery of global forecasts and related products.
-
D.
component of Global Data-processing and Forecasting System
A component of the Global Data-processing and Forecasting System is a modular subsystem that ingests, transforms, analyzes, or disseminates environmental data to support the generation and delivery of timely, accurate global forecasts.
-
E.
pioneer of radar
A pioneer of radar is an individual who made foundational contributions to the invention, development, or early practical application of radio detection and ranging technology.
- F. None of above. chosen
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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 3:53 p.m.