Hurricane Irma 2017
E193203
Hurricane Irma 2017 was a powerful and catastrophic Category 5 Atlantic hurricane that caused widespread destruction across the Caribbean and southeastern United States.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Hurricane Irma | 3 |
| Hurricane Irma 2017 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1731971 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Hurricane Irma 2017 Context triple: [Southernmost Point buoy, damagedIn, Hurricane Irma 2017]
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A.
Hurricane Dorian
Hurricane Dorian was a catastrophic Category 5 Atlantic hurricane in 2019 that devastated parts of the Bahamas, especially the Abaco Islands and Grand Bahama, and became one of the strongest storms on record for the region.
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B.
Hurricane Maria
Hurricane Maria was a catastrophic Category 4 Atlantic hurricane in 2017 that devastated Puerto Rico and other Caribbean islands, causing widespread destruction, prolonged power outages, and thousands of deaths.
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C.
Hurricane Michael
Hurricane Michael was a powerful Category 5 Atlantic hurricane in October 2018 that caused catastrophic damage along the Florida Panhandle and surrounding regions.
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D.
Irma
Irma is a feminine given name used in various European and Latin American cultures, often considered a variant or related form of names like Emma or Irmina.
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E.
Hurricane
"Hurricane" is a protest song by Bob Dylan that narrates and condemns the wrongful imprisonment of boxer Rubin "Hurricane" Carter.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Hurricane Irma 2017 Target entity description: Hurricane Irma 2017 was a powerful and catastrophic Category 5 Atlantic hurricane that caused widespread destruction across the Caribbean and southeastern United States.
-
A.
Hurricane Dorian
Hurricane Dorian was a catastrophic Category 5 Atlantic hurricane in 2019 that devastated parts of the Bahamas, especially the Abaco Islands and Grand Bahama, and became one of the strongest storms on record for the region.
-
B.
Hurricane Maria
Hurricane Maria was a catastrophic Category 4 Atlantic hurricane in 2017 that devastated Puerto Rico and other Caribbean islands, causing widespread destruction, prolonged power outages, and thousands of deaths.
-
C.
Hurricane Michael
Hurricane Michael was a powerful Category 5 Atlantic hurricane in October 2018 that caused catastrophic damage along the Florida Panhandle and surrounding regions.
-
D.
Irma
Irma is a feminine given name used in various European and Latin American cultures, often considered a variant or related form of names like Emma or Irmina.
-
E.
Hurricane
The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
2017 Atlantic hurricane season storm
ⓘ
Atlantic hurricane ⓘ Cape Verde hurricane ⓘ Category 5 hurricane ⓘ |
| affectedArea |
Alabama
ⓘ
Atlantic coast of the United States ⓘ Bahamas ⓘ Caribbean Sea ⓘ Cuba ⓘ Florida ⓘ Georgia ⓘ Greater Antilles ⓘ Leeward Islands ⓘ South Carolina ⓘ |
| basin | Atlantic Ocean ⓘ |
| classification | major hurricane ⓘ |
| damage_USD | 77000000000 ⓘ |
| damageDescription | one of the costliest tropical cyclones on record ⓘ |
| dissipatedOn | 2017-09-14 ⓘ |
| evacuations | triggered one of the largest evacuations in U.S. history ⓘ |
| fatalities_total | over 130 ⓘ |
| fatalitiesDescription | caused dozens of deaths in the Caribbean and United States ⓘ |
| formedOn | 2017-08-30 ⓘ |
| landfall |
Anguilla
ⓘ
Barbuda ⓘ British Virgin Islands ⓘ Cuba ⓘ Cudjoe Key ⓘ
surface form:
Cudjoe Key, Florida
Marco Island, Florida ⓘ Puerto Rico ⓘ Saint Martin ⓘ U.S. Virgin Islands ⓘ |
| maximumSustainedWinds_kt | 155 ⓘ |
| maximumSustainedWinds_mph | 180 ⓘ |
| minimumCentralPressure_hPa | 914 ⓘ |
| name |
Hurricane Irma 2017
self-link
ⓘ
surface form:
Hurricane Irma
|
| nameRetiredBy | World Meteorological Organization ⓘ |
| nameRetiredYear | 2018 ⓘ |
| notableFor |
major impacts in the state of Florida
ⓘ
record-tying longest duration as a Category 5 hurricane in the Atlantic ⓘ widespread destruction across the northern Caribbean ⓘ |
| partOf | 2017 Atlantic hurricane season ⓘ |
| peakCategoryLocation | east of the Leeward Islands ⓘ |
| peakIntensityDate | 2017-09-05 ⓘ |
| reachedCategory | Category 5 ⓘ |
| replacedByName | Idalia ⓘ |
| retiredName | Irma ⓘ |
| stormSurgeImpact | significant storm surge flooding in parts of Florida ⓘ |
| trackOrigin | off the west coast of Africa ⓘ |
| trackType | westward track across the tropical Atlantic ⓘ |
| year | 2017 ⓘ |
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.
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.
Subject: Hurricane Irma 2017 Description of subject: Hurricane Irma 2017 was a powerful and catastrophic Category 5 Atlantic hurricane that caused widespread destruction across the Caribbean and southeastern United States.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.