Highway Loss Data Institute
E648922
Highway Loss Data Institute is a research organization that analyzes insurance loss data to understand vehicle safety and inform highway safety improvements.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Highway Loss Data Institute canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7208947 — 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: Highway Loss Data Institute Context triple: [Insurance Institute for Highway Safety, hasSubsidiary, Highway Loss Data Institute]
-
A.
American Insurance Association
The American Insurance Association is a U.S. trade organization representing major property and casualty insurance companies in legislative, regulatory, and legal matters.
-
B.
IIHS
IIHS (Insurance Institute for Highway Safety) is a U.S.-based independent, nonprofit organization that conducts vehicle crash tests and research to evaluate and improve automotive safety.
-
C.
Center for Auto Safety
The Center for Auto Safety is a nonprofit consumer advocacy organization in the United States that focuses on improving automobile safety, reliability, and regulatory oversight.
-
D.
National Association of Insurance Commissioners
The National Association of Insurance Commissioners is a U.S. standard-setting and regulatory support organization composed of state insurance regulators that coordinates insurance regulation and develops model laws and guidelines.
-
E.
National Highway Traffic Safety Administration
The National Highway Traffic Safety Administration is a U.S. federal agency responsible for improving road safety by setting and enforcing vehicle performance standards, investigating defects, and promoting traffic safety initiatives.
- 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: Highway Loss Data Institute Target entity description: Highway Loss Data Institute is a research organization that analyzes insurance loss data to understand vehicle safety and inform highway safety improvements.
-
A.
American Insurance Association
The American Insurance Association is a U.S. trade organization representing major property and casualty insurance companies in legislative, regulatory, and legal matters.
-
B.
IIHS
IIHS (Insurance Institute for Highway Safety) is a U.S.-based independent, nonprofit organization that conducts vehicle crash tests and research to evaluate and improve automotive safety.
-
C.
Center for Auto Safety
The Center for Auto Safety is a nonprofit consumer advocacy organization in the United States that focuses on improving automobile safety, reliability, and regulatory oversight.
-
D.
National Association of Insurance Commissioners
The National Association of Insurance Commissioners is a U.S. standard-setting and regulatory support organization composed of state insurance regulators that coordinates insurance regulation and develops model laws and guidelines.
-
E.
National Highway Traffic Safety Administration
The National Highway Traffic Safety Administration is a U.S. federal agency responsible for improving road safety by setting and enforcing vehicle performance standards, investigating defects, and promoting traffic safety initiatives.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
nonprofit organization
ⓘ
research organization ⓘ |
| aimsTo |
inform highway safety improvements
ⓘ
understand vehicle safety performance ⓘ |
| analyzes | automobile insurance loss data ⓘ |
| contributesTo |
evidence-based highway safety improvements
ⓘ
evidence-based vehicle safety evaluations ⓘ |
| domain |
automobile insurance
ⓘ
risk analysis ⓘ road traffic safety ⓘ |
| evaluates |
effects of crash avoidance technologies
ⓘ
effects of vehicle design on insurance losses ⓘ effects of vehicle safety features ⓘ vehicle make and model loss experience ⓘ |
| focusesOn |
highway safety
ⓘ
insurance loss data ⓘ vehicle safety ⓘ |
| goal |
reduce crash-related injuries
ⓘ
reduce crash-related property damage ⓘ reduce motor vehicle crashes ⓘ |
| produces |
statistical analyses of insurance losses
ⓘ
vehicle safety ratings based on loss data ⓘ |
| providesInformationTo |
insurers
ⓘ
policymakers ⓘ the public ⓘ vehicle manufacturers ⓘ |
| publishes |
comparative loss results by vehicle model
ⓘ
reports on insurance loss trends ⓘ |
| studies |
collision losses
ⓘ
comprehensive coverage losses ⓘ injury losses ⓘ medical payment losses ⓘ personal injury protection losses ⓘ property damage liability losses ⓘ |
| supports |
consumer vehicle safety choices
ⓘ
highway safety policy decisions ⓘ vehicle safety regulation development ⓘ |
| typeOfDataUsed |
claim frequency data
ⓘ
claim severity data ⓘ exposure data ⓘ |
| typeOfOutput |
relative loss measures by vehicle
ⓘ
safety-related data summaries ⓘ |
| usesDataFrom | auto insurers ⓘ |
| usesMethod |
actuarial analysis
ⓘ
statistical modeling ⓘ |
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: Highway Loss Data Institute Description of subject: Highway Loss Data Institute is a research organization that analyzes insurance loss data to understand vehicle safety and inform highway safety improvements.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Insurance Institute for Highway Safety