ShakeAlert earthquake early warning system
E943124
ShakeAlert is a U.S. West Coast earthquake early warning system that rapidly detects significant quakes and delivers seconds-to-tens-of-seconds advance alerts to help protect people and infrastructure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ShakeAlert earthquake early warning system canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11728915 — 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: ShakeAlert earthquake early warning system Context triple: [California Integrated Seismic Network, partOf, ShakeAlert earthquake early warning system]
-
A.
USGS National Seismic Hazard Model
The USGS National Seismic Hazard Model is a comprehensive, nationwide assessment that estimates the likelihood and intensity of earthquake shaking across the United States to inform building codes, risk mitigation, and public safety planning.
-
B.
California Integrated Seismic Network
The California Integrated Seismic Network is a collaborative statewide system that monitors, records, and reports earthquake activity in California to support research and public safety.
-
C.
2019 Ridgecrest earthquakes
The 2019 Ridgecrest earthquakes were a powerful sequence of Southern California quakes, including a magnitude 7.1 mainshock, that caused widespread shaking, surface ruptures, and infrastructure damage across the Mojave Desert region.
-
D.
Integrated Public Alert and Warning System
The Integrated Public Alert and Warning System (IPAWS) is the U.S. national system that enables authorities to quickly disseminate emergency alerts and warnings across multiple communication channels, including mobile phones, television, and radio.
-
E.
Benioff seismograph
The Benioff seismograph is a highly sensitive type of seismometer designed to record and analyze ground motions from earthquakes and other seismic events.
- 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: ShakeAlert earthquake early warning system Target entity description: ShakeAlert is a U.S. West Coast earthquake early warning system that rapidly detects significant quakes and delivers seconds-to-tens-of-seconds advance alerts to help protect people and infrastructure.
-
A.
USGS National Seismic Hazard Model
The USGS National Seismic Hazard Model is a comprehensive, nationwide assessment that estimates the likelihood and intensity of earthquake shaking across the United States to inform building codes, risk mitigation, and public safety planning.
-
B.
California Integrated Seismic Network
The California Integrated Seismic Network is a collaborative statewide system that monitors, records, and reports earthquake activity in California to support research and public safety.
-
C.
2019 Ridgecrest earthquakes
The 2019 Ridgecrest earthquakes were a powerful sequence of Southern California quakes, including a magnitude 7.1 mainshock, that caused widespread shaking, surface ruptures, and infrastructure damage across the Mojave Desert region.
-
D.
Integrated Public Alert and Warning System
The Integrated Public Alert and Warning System (IPAWS) is the U.S. national system that enables authorities to quickly disseminate emergency alerts and warnings across multiple communication channels, including mobile phones, television, and radio.
-
E.
Benioff seismograph
The Benioff seismograph is a highly sensitive type of seismometer designed to record and analyze ground motions from earthquakes and other seismic events.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
earthquake early warning system
ⓘ
seismic monitoring system ⓘ |
| alertDeliveryChannel |
apps using ShakeAlert data
ⓘ
infrastructure control systems ⓘ mobile devices ⓘ public alerting systems ⓘ |
| alertType |
earthquake magnitude-based alerts
ⓘ
earthquake shaking intensity alerts ⓘ |
| basedOn |
real-time ground motion data
ⓘ
seismic sensor networks ⓘ |
| benefit |
increased preparedness time
ⓘ
reduction of damage to infrastructure ⓘ reduction of injuries ⓘ |
| canTrigger |
automatic closure of valves
ⓘ
automatic opening of fire station doors ⓘ automatic shutdown of industrial processes ⓘ automatic slowing of trains ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataSource |
seismometers
ⓘ
strong-motion sensors ⓘ |
| developer |
Caltech
ⓘ
linked to:
California Institute of Technology
United States Geological Survey ⓘ University of California, Berkeley ⓘ University of Nevada, Reno ⓘ University of Oregon ⓘ University of Washington ⓘ |
| feature |
automated alert dissemination
ⓘ
integration with critical infrastructure systems ⓘ integration with public alerting channels ⓘ seconds-to-tens-of-seconds warning time ⓘ |
| managedBy |
USGS ShakeAlert program
ⓘ
linked to:
USGS Earthquake Hazards Program
|
| operator | United States Geological Survey ⓘ |
| purpose |
automatic protective actions
ⓘ
earthquake early warning ⓘ infrastructure protection ⓘ public safety ⓘ |
| regionServed |
California
ⓘ
linked to:
California, United States
Oregon ⓘ U.S. West Coast ⓘ
linked to:
West Coast of the United States
Washington ⓘ |
| riskAddressed | earthquake shaking ⓘ |
| targetUser |
emergency managers
ⓘ
general public ⓘ industrial facilities ⓘ transportation agencies ⓘ utilities ⓘ |
| use |
delivery of advance alerts
ⓘ
rapid detection of significant earthquakes ⓘ |
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: ShakeAlert earthquake early warning system Description of subject: ShakeAlert is a U.S. West Coast earthquake early warning system that rapidly detects significant quakes and delivers seconds-to-tens-of-seconds advance alerts to help protect people and infrastructure.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.