CompStat
E496862
crime analysis program
data-driven policing approach
performance management system
police management system
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CompStat canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T5135022 — 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: CompStat Context triple: [NYPD precinct commanders, usesSystem, CompStat]
-
A.
National Crime Statistics Exchange
The National Crime Statistics Exchange is a U.S. law enforcement data program that collects and shares detailed crime and incident information from local, state, and federal agencies to support analysis, policy-making, and public safety efforts.
-
B.
NIBRS
NIBRS (National Incident-Based Reporting System) is a U.S. crime data collection program that captures detailed information on individual criminal incidents reported by law enforcement agencies nationwide.
-
C.
CMPD
CMPD is the Crisis Management and Planning Directorate, a body responsible for strategic planning and coordination in crisis management contexts.
-
D.
Uniform Crime Reporting Program
The Uniform Crime Reporting Program is a nationwide, standardized system for collecting and publishing crime statistics from law enforcement agencies across the United States.
-
E.
NYPD Academy
The NYPD Academy is the primary training institution for New York City Police Department recruits, providing instruction in law enforcement tactics, legal standards, and community policing.
- 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: CompStat Target entity description: CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
A.
National Crime Statistics Exchange
The National Crime Statistics Exchange is a U.S. law enforcement data program that collects and shares detailed crime and incident information from local, state, and federal agencies to support analysis, policy-making, and public safety efforts.
-
B.
NIBRS
NIBRS (National Incident-Based Reporting System) is a U.S. crime data collection program that captures detailed information on individual criminal incidents reported by law enforcement agencies nationwide.
-
C.
CMPD
CMPD is the Crisis Management and Planning Directorate, a body responsible for strategic planning and coordination in crisis management contexts.
-
D.
Uniform Crime Reporting Program
The Uniform Crime Reporting Program is a nationwide, standardized system for collecting and publishing crime statistics from law enforcement agencies across the United States.
-
E.
NYPD Academy
The NYPD Academy is the primary training institution for New York City Police Department recruits, providing instruction in law enforcement tactics, legal standards, and community policing.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
crime analysis program
ⓘ
data-driven policing approach ⓘ performance management system ⓘ police management system ⓘ |
| aimsTo |
improve quality of life
ⓘ
increase organizational accountability ⓘ reduce crime ⓘ |
| alternativeName |
COMPSTAT
ⓘ
Comparative Statistics ⓘ Computerized Statistics ⓘ |
| associatedWith |
Jack Maple
ⓘ
William J. Bratton ⓘ |
| category |
Crime mapping
ⓘ
Law enforcement in the United States ⓘ Police informatics ⓘ |
| criticizedFor |
overemphasis on quantitative metrics
ⓘ
possible contribution to aggressive policing practices ⓘ potential pressure to manipulate crime statistics ⓘ |
| developedBy | New York City Police Department ⓘ |
| developedIn | New York City ⓘ |
| developedInPeriod | 1990s ⓘ |
| emphasizes |
effective tactics
ⓘ
rapid deployment of resources ⓘ relentless follow-up and assessment ⓘ timely and accurate intelligence ⓘ |
| firstImplementedBy | New York City Police Department ⓘ |
| hasComponent |
crime maps and charts
ⓘ
performance indicators for precincts ⓘ regular CompStat meetings ⓘ |
| hasKeyFeature |
command-level accountability
ⓘ
follow-up and assessment ⓘ frequent strategy meetings ⓘ mapping of crime incidents ⓘ problem-solving focus ⓘ regular crime data analysis ⓘ use of timely and accurate data ⓘ |
| hasPurpose |
guide police deployment
ⓘ
improve police accountability ⓘ inform crime reduction strategies ⓘ monitor police performance ⓘ |
| implementedBy |
many large U.S. police departments
ⓘ
various international police agencies ⓘ |
| influenced |
data-driven policing practices in the United States
ⓘ
performance management systems in other police departments ⓘ |
| reliesOn |
computerized crime data systems
ⓘ
geospatial analysis ⓘ statistical analysis ⓘ |
| uses |
crime mapping
ⓘ
crime statistics ⓘ geographic information systems ⓘ |
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: CompStat Description of subject: CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.