International Recommendations for Industrial Statistics
E753999
International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| International Recommendations for Industrial Statistics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8717680 — 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: International Recommendations for Industrial Statistics Context triple: [United Nations Statistics Division, notableWork, International Recommendations for Industrial Statistics]
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A.
Conference on Statistical Practice
The Conference on Statistical Practice is a professional meeting focused on practical applications of statistics, offering training, networking, and resources for statisticians and data analysts across diverse fields.
-
B.
Technometrics
Technometrics is a peer-reviewed journal focusing on the development and application of statistical methods in the physical, chemical, and engineering sciences.
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C.
Code of Practice for Statistics
The Code of Practice for Statistics is the UK’s official framework of principles and standards designed to ensure that statistics produced by public bodies are trustworthy, high quality, and valuable to users.
-
D.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
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E.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
- 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: International Recommendations for Industrial Statistics Target entity description: International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
-
A.
Conference on Statistical Practice
The Conference on Statistical Practice is a professional meeting focused on practical applications of statistics, offering training, networking, and resources for statisticians and data analysts across diverse fields.
-
B.
Technometrics
Technometrics is a peer-reviewed journal focusing on the development and application of statistical methods in the physical, chemical, and engineering sciences.
-
C.
Code of Practice for Statistics
The Code of Practice for Statistics is the UK’s official framework of principles and standards designed to ensure that statistics produced by public bodies are trustworthy, high quality, and valuable to users.
-
D.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
E.
Statistical Methods for Research Workers
Statistical Methods for Research Workers is a foundational 1925 statistics textbook by Ronald A. Fisher that helped establish modern statistical theory and practice in scientific research.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
United Nations statistical framework
ⓘ
statistical standard ⓘ |
| aimsTo |
harmonize industrial statistics across countries
ⓘ
improve international comparability of industrial data ⓘ provide guidance for collection of industrial statistics ⓘ provide guidance for compilation of industrial statistics ⓘ |
| appliesTo |
industrial statistics
ⓘ
manufacturing statistics ⓘ mining and quarrying statistics ⓘ utilities statistics ⓘ |
| basedOn |
internationally agreed concepts
ⓘ
internationally agreed definitions ⓘ internationally agreed methodological guidelines ⓘ |
| defines |
concepts for industrial statistics
ⓘ
definitions for industrial statistics ⓘ methodological guidelines for industrial statistics ⓘ |
| field |
economic statistics
ⓘ
industrial statistics ⓘ official statistics ⓘ |
| hasAbbreviation | IRIS ⓘ |
| hasComponent |
recommendations on classifications for industrial statistics
ⓘ
recommendations on data items for industrial surveys ⓘ recommendations on data sources for industrial statistics ⓘ recommendations on dissemination of industrial statistics ⓘ recommendations on statistical units for industrial statistics ⓘ |
| issuedBy | United Nations Statistics Division ⓘ |
| language | English ⓘ |
| partOf | United Nations statistical standards ⓘ |
| publisher |
United Nations
ⓘ
United Nations Statistics Division ⓘ |
| relatedTo |
International Recommendations for Distributive Trade Statistics
ⓘ
International Standard Industrial Classification of All Economic Activities ⓘ System of National Accounts ⓘ
linked to:
United Nations System of National Accounts
|
| scope |
employment in industry
ⓘ
industrial output and inputs ⓘ industrial performance indicators ⓘ industrial production ⓘ structure of industry ⓘ |
| subjectOf | United Nations Statistical Commission discussions ⓘ |
| supports |
economic policy analysis
ⓘ
industrial policy formulation ⓘ monitoring of industrial development ⓘ |
| targetAudience |
policy makers
ⓘ
researchers ⓘ statisticians ⓘ |
| usedBy |
international organizations
ⓘ
national statistical offices ⓘ |
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: International Recommendations for Industrial Statistics Description of subject: International Recommendations for Industrial Statistics is a key United Nations Statistics Division framework that provides internationally agreed concepts, definitions, and methodological guidelines for the collection and compilation of industrial statistics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
United Nations Statistics Division
→
notableWork
→
International Recommendations for Industrial Statistics
ⓘ