Current Employment Statistics survey
E914745
The Current Employment Statistics survey is a major U.S. Bureau of Labor Statistics program that provides monthly estimates of nonfarm payroll employment, hours, and earnings based on a large sample of businesses and government agencies.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Current Employment Statistics survey canonical | 4 |
| BLS Current Employment Statistics program | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11259712 — 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: Current Employment Statistics survey Context triple: [Employment Situation report, dataSource, Current Employment Statistics survey]
-
A.
Occupational Employment and Wage Statistics
Occupational Employment and Wage Statistics is a U.S. labor market data program that provides detailed estimates of employment levels and wage rates across occupations and industries.
-
B.
Employment Situation report
The Employment Situation report is a key monthly U.S. labor market release that provides official data on employment, unemployment, and related indicators.
-
C.
Employment Projections
Employment Projections is a U.S. Bureau of Labor Statistics program that provides long-term forecasts of labor force, industry, and occupational employment trends to inform workforce and education planning.
-
D.
Bureau of Labor Statistics
The Bureau of Labor Statistics is the principal U.S. federal agency responsible for collecting, analyzing, and disseminating essential economic data on labor market activity, prices, and productivity.
-
E.
Joint Employment Report
The Joint Employment Report is an annual European Union document that reviews member states’ employment policies and labor market performance to guide and coordinate EU-wide employment strategy.
- 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: Current Employment Statistics survey Target entity description: The Current Employment Statistics survey is a major U.S. Bureau of Labor Statistics program that provides monthly estimates of nonfarm payroll employment, hours, and earnings based on a large sample of businesses and government agencies.
-
A.
Occupational Employment and Wage Statistics
Occupational Employment and Wage Statistics is a U.S. labor market data program that provides detailed estimates of employment levels and wage rates across occupations and industries.
-
B.
Employment Situation report
The Employment Situation report is a key monthly U.S. labor market release that provides official data on employment, unemployment, and related indicators.
-
C.
Employment Projections
Employment Projections is a U.S. Bureau of Labor Statistics program that provides long-term forecasts of labor force, industry, and occupational employment trends to inform workforce and education planning.
-
D.
Bureau of Labor Statistics
The Bureau of Labor Statistics is the principal U.S. federal agency responsible for collecting, analyzing, and disseminating essential economic data on labor market activity, prices, and productivity.
-
E.
Joint Employment Report
The Joint Employment Report is an annual European Union document that reviews member states’ employment policies and labor market performance to guide and coordinate EU-wide employment strategy.
- F. None of above. chosen
Statements (55)
| Predicate | Object |
|---|---|
| instanceOf |
U.S. federal statistical survey
ⓘ
economic statistics program ⓘ labor force survey ⓘ |
| administeredBy |
Office of Employment and Unemployment Statistics
ⓘ
U.S. Bureau of Labor Statistics ⓘ
linked to:
Bureau of Labor Statistics
|
| alsoKnownAs |
CES survey
ⓘ
establishment survey ⓘ payroll survey ⓘ |
| collectionMode |
computer-assisted telephone interviewing
ⓘ
fax or mail reporting ⓘ online reporting ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataType |
all employees
ⓘ
average hourly earnings ⓘ average weekly earnings ⓘ average weekly hours ⓘ earnings of production and nonsupervisory employees ⓘ hours of production and nonsupervisory employees ⓘ nonfarm payroll employment ⓘ production and nonsupervisory employees ⓘ women employees ⓘ |
| excludesSector |
agricultural employment
ⓘ
military personnel ⓘ private households ⓘ self-employed workers ⓘ unpaid family workers ⓘ |
| frequency | monthly ⓘ |
| geographicCoverage |
metropolitan area
ⓘ
national ⓘ state ⓘ |
| hasMethod |
birth-death model adjustment
ⓘ
probability sampling ⓘ seasonal adjustment ⓘ |
| industryClassification |
NAICS
ⓘ
linked to:
NAICS codes
|
| output |
earnings estimates
ⓘ
employment level estimates ⓘ hours estimates ⓘ not seasonally adjusted series ⓘ seasonally adjusted series ⓘ |
| partOf |
BLS Current Employment Statistics program
ⓘ
linked to:
Current Employment Statistics survey
|
| population | employer payroll records ⓘ |
| sampleSize |
approximately 650,000 worksites
ⓘ
over 100,000 businesses and government agencies ⓘ |
| samplingFrame | Unemployment Insurance tax records ⓘ |
| samplingUnit | business establishment ⓘ |
| sectorCoverage | nonfarm business sector ⓘ |
| sponsor |
U.S. Department of Labor
ⓘ
linked to:
United States Department of Labor
|
| startYear | 1939 ⓘ |
| subjectArea |
employment statistics
ⓘ
labor statistics ⓘ wage statistics ⓘ |
| usedFor |
U.S. employment situation report
ⓘ
business cycle analysis ⓘ macroeconomic analysis ⓘ monetary policy decisions ⓘ |
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: Current Employment Statistics survey Description of subject: The Current Employment Statistics survey is a major U.S. Bureau of Labor Statistics program that provides monthly estimates of nonfarm payroll employment, hours, and earnings based on a large sample of businesses and government agencies.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Current Employment Statistics survey