Triple
T36679728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 European floods |
E905644
|
entity |
| Predicate | associatedWeatherSystem |
—
|
GENERATED |
| Object | Cyclone Bernd |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWeatherSystem Context triple: [2021 European floods, associatedWeatherSystem, Cyclone Bernd]
-
A.
associatedWithWeather
chosen
Indicates a relationship where something is connected or related to weather conditions or phenomena.
-
B.
meteorologicalAgency
Indicates that one entity functions as the official meteorological agency responsible for providing weather and climate services for another entity or region.
-
C.
meteorologicalType
Indicates that something is classified according to its meteorological category or type (e.g., kind of weather or atmospheric phenomenon).
-
D.
stormName
Indicates that a particular storm is identified or designated by a specific name.
-
E.
associatedWithPrecipitationType
Indicates that there is a relationship between an entity and a specific type or category of precipitation (such as rain, snow, or hail).
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.