Triple
T16921454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himawari Standard Data |
E410452
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | meteorological data product |
C12486
|
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: meteorological data product Context triple: [Himawari Standard Data, instanceOf, meteorological data product]
-
A.
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.
-
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.
scientific data product
chosen
A scientific data product is a processed, quality-controlled dataset or derived information package created from raw observations or experiments to support analysis, interpretation, and reuse in research.
-
D.
meteorological data communication network
A meteorological data communication network is a system of interconnected sensors, transmission links, and processing nodes that collect, transmit, and distribute weather and atmospheric data in real time.
-
E.
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.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:30 a.m.