2016 European floods
E282900
The 2016 European floods were a series of severe late-spring flooding events that affected multiple countries across Central Europe, causing significant damage, casualties, and widespread disruption.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 2016 European floods canonical | 1 |
Statements (75)
| Predicate | Object |
|---|---|
| instanceOf |
flood
ⓘ
natural disaster ⓘ weather event ⓘ |
| continent | Europe ⓘ |
| countryAffected |
Austria
ⓘ
Belarus ⓘ Belgium ⓘ Bosnia and Herzegovina ⓘ Bulgaria ⓘ Croatia ⓘ Czech Republic ⓘ Denmark ⓘ Estonia ⓘ Finland ⓘ France ⓘ Germany ⓘ Greece ⓘ Hungary ⓘ Italy ⓘ Latvia ⓘ Lithuania ⓘ Luxembourg ⓘ Moldova ⓘ Netherlands ⓘ Norway ⓘ Poland ⓘ Romania ⓘ Serbia ⓘ Slovakia ⓘ Slovenia ⓘ Spain ⓘ Sweden ⓘ Switzerland ⓘ Ukraine ⓘ United Kingdom ⓘ |
| damage | billions of euros ⓘ |
| deathToll | over 20 ⓘ |
| endTime | 2016-06 ⓘ |
| environmentalImpact |
damage to ecosystems
ⓘ
riverbank erosion ⓘ water contamination ⓘ |
| governmentResponse |
declaration of states of emergency in affected regions
ⓘ
deployment of emergency services ⓘ |
| hasCause |
heavy rainfall
ⓘ
severe thunderstorms ⓘ slow-moving low-pressure systems ⓘ |
| mainRiverAffected |
Danube
ⓘ
Elbe ⓘ Inn ⓘ Isar ⓘ Loire ⓘ Rhine ⓘ River Seine ⓘ
surface form:
Seine
|
| notableCityAffected |
Baden-Württemberg
ⓘ
Bavaria ⓘ Braunsbach ⓘ Hesse ⓘ Munich ⓘ North Rhine-Westphalia ⓘ Paris ⓘ Passau ⓘ District of Rottal-Inn ⓘ
surface form:
Rottal-Inn district
Simbach am Inn ⓘ |
| notableEffect |
agricultural losses
ⓘ
closure of museums in Paris ⓘ closure of rail lines ⓘ closure of roads ⓘ closure of schools ⓘ evacuations ⓘ flooding of basements and underground car parks ⓘ infrastructure damage ⓘ power outages ⓘ transport disruption ⓘ |
| partOf | 2016 European severe weather season ⓘ |
| startTime | 2016-05 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: 2016 European floods Description of subject: The 2016 European floods were a series of severe late-spring flooding events that affected multiple countries across Central Europe, causing significant damage, casualties, and widespread disruption.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.