2018 Ellicott City flood
E929671
The 2018 Ellicott City flood was a catastrophic flash flooding event in Ellicott City, Maryland, that caused severe damage to the historic downtown area and followed a similarly devastating flood there in 2016.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 2018 Ellicott City flood canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11486890 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2018 Ellicott City flood Context triple: [Ellicott City, hasNotableEvent, 2018 Ellicott City flood]
-
A.
2016 Ellicott City flood
The 2016 Ellicott City flood was a devastating flash flood in Ellicott City, Maryland, caused by torrential rainfall that led to severe damage to the historic downtown area and multiple fatalities.
-
B.
Hartford Flood of 1936
The Hartford Flood of 1936 was a devastating spring flood that inundated Hartford, Connecticut and surrounding areas, causing widespread damage and prompting major flood-control improvements along the city’s rivers.
-
C.
Great Johnstown Flood of 1889
The Great Johnstown Flood of 1889 was a catastrophic dam failure–induced deluge that devastated Johnstown, Pennsylvania, killing more than 2,200 people and becoming one of the deadliest and most infamous disasters in U.S. history.
-
D.
Great Flood of 1879
The Great Flood of 1879 was a catastrophic inundation of the city of Szeged in Hungary that destroyed most of the town and prompted a major reconstruction.
-
E.
The Great Flood of 1852
The Great Flood of 1852 was a catastrophic inundation of the Murrumbidgee River that devastated the Australian town of Gundagai, causing extensive loss of life and prompting the town’s relocation to higher ground.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2018 Ellicott City flood Target entity description: The 2018 Ellicott City flood was a catastrophic flash flooding event in Ellicott City, Maryland, that caused severe damage to the historic downtown area and followed a similarly devastating flood there in 2016.
-
A.
2016 Ellicott City flood
The 2016 Ellicott City flood was a devastating flash flood in Ellicott City, Maryland, caused by torrential rainfall that led to severe damage to the historic downtown area and multiple fatalities.
-
B.
Hartford Flood of 1936
The Hartford Flood of 1936 was a devastating spring flood that inundated Hartford, Connecticut and surrounding areas, causing widespread damage and prompting major flood-control improvements along the city’s rivers.
-
C.
Great Johnstown Flood of 1889
The Great Johnstown Flood of 1889 was a catastrophic dam failure–induced deluge that devastated Johnstown, Pennsylvania, killing more than 2,200 people and becoming one of the deadliest and most infamous disasters in U.S. history.
-
D.
Great Flood of 1879
The Great Flood of 1879 was a catastrophic inundation of the city of Szeged in Hungary that destroyed most of the town and prompted a major reconstruction.
-
E.
The Great Flood of 1852
The Great Flood of 1852 was a catastrophic inundation of the Murrumbidgee River that devastated the Australian town of Gundagai, causing extensive loss of life and prompting the town’s relocation to higher ground.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
flash flood
ⓘ
flood in the United States ⓘ natural disaster ⓘ |
| affectedArea |
Main Street Ellicott City
NERFINISHED
ⓘ
Tiber-Hudson watershed NERFINISHED ⓘ |
| climateContext | discussed in context of increasing extreme rainfall events in the Mid-Atlantic ⓘ |
| comparedTo | 2016 Ellicott City flood in severity ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| declaredBy | Governor of Maryland ⓘ |
| emergencyResponse |
deployment of Maryland National Guard
ⓘ
search and rescue operations ⓘ swift-water rescues ⓘ |
| followedBy | long-term flood mitigation projects in Ellicott City ⓘ |
| follows | 2016 Ellicott City flood NERFINISHED ⓘ |
| hasCause |
flash flooding of the Tiber River (Maryland)
ⓘ
intense rainfall ⓘ topography of Ellicott City’s Main Street valley ⓘ urban runoff ⓘ |
| hasEffect |
economic disruption for local businesses
ⓘ
heightened awareness of flash flood risk in Ellicott City ⓘ long-term closure and rebuilding of parts of Main Street ⓘ |
| heritageImpact |
damage to historic buildings in one of the oldest mill towns in the United States
ⓘ
loss of historic streetscapes along Main Street ⓘ |
| locatedIn | Ellicott City, Maryland NERFINISHED ⓘ |
| locatedInAdministrativeTerritory |
Howard County, Maryland
NERFINISHED
ⓘ
Maryland NERFINISHED ⓘ |
| mainImpactArea | historic downtown Ellicott City ⓘ |
| mediaCoverage |
local television news in Baltimore–Washington area
ⓘ
national news outlets in the United States ⓘ |
| naturalDisasterType | catastrophic flash flooding ⓘ |
| notableFatality | Eddison Hermond NERFINISHED ⓘ |
| numberOfDeaths | 1 ⓘ |
| partOf |
2018 floods in the United States
ⓘ
Patapsco River watershed NERFINISHED ⓘ |
| pointInTime | May 27, 2018 ⓘ |
| precededBy | 2016 Ellicott City flood NERFINISHED ⓘ |
| prompted |
discussions about relocating or demolishing vulnerable buildings on Main Street
ⓘ
reassessment of flood mitigation plans in Ellicott City ⓘ state and federal disaster assistance ⓘ |
| riskFactor |
high percentage of impervious surfaces in the watershed
ⓘ
steep, narrow valley of Ellicott City ⓘ |
| startTime | 2018-05-27 ⓘ |
| timePeriod | late May 2018 ⓘ |
| typeOfDamage |
business losses
ⓘ
damage to infrastructure ⓘ road washouts ⓘ severe damage to historic downtown buildings ⓘ |
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: 2018 Ellicott City flood Description of subject: The 2018 Ellicott City flood was a catastrophic flash flooding event in Ellicott City, Maryland, that caused severe damage to the historic downtown area and followed a similarly devastating flood there in 2016.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.