FRA 2010
E411517
FRA 2010 is a major global assessment report that provides comprehensive data and analysis on the world’s forest resources and their changes around 2010.
All labels observed (1)
| Label | Occurrences |
|---|---|
| FRA 2010 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4077113 — 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.
Target entity: FRA 2010 Context triple: [Global Forest Resources Assessment, notableEdition, FRA 2010]
-
A.
FRA
FRA is the standard abbreviation used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
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B.
FRA
FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
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C.
FRA
FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
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D.
FR3
FR3 was a former French public television channel and network that later became part of France Télévisions.
-
E.
FRIBA
FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: FRA 2010 Target entity description: FRA 2010 is a major global assessment report that provides comprehensive data and analysis on the world’s forest resources and their changes around 2010.
-
A.
FRA
FRA is the standard abbreviation used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
-
B.
FRA
FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
-
C.
FRA
FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
-
D.
FR3
FR3 was a former French public television channel and network that later became part of France Télévisions.
-
E.
FRIBA
FRIBA is a professional honorific indicating fellowship in the Royal Institute of British Architects.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
FAO report
ⓘ
environmental assessment report ⓘ global forest resources assessment ⓘ |
| access | open access ⓘ |
| aimsTo |
monitor progress towards sustainable forest management
ⓘ
support forest policy-making ⓘ |
| availableAt | FAO website ⓘ |
| dataSource |
country reports
ⓘ
national forest inventories ⓘ remote sensing ⓘ |
| followedBy | FRA 2015 ⓘ |
| follows | FRA 2005 ⓘ |
| format |
PDF
ⓘ
printed report ⓘ |
| fullName |
Global Forest Resources Assessment
ⓘ
surface form:
Global Forest Resources Assessment 2010
|
| geographicCoverage |
FAO member countries
ⓘ
all regions ⓘ world ⓘ |
| hasEdition |
country reports compilation
ⓘ
key findings brochure ⓘ main report ⓘ |
| language | English ⓘ |
| partOfSeries |
Global Forest Resources Assessment
ⓘ
surface form:
Global Forest Resources Assessment series
|
| provides |
analysis of forest management practices
ⓘ
analysis of trends in forest area ⓘ comprehensive data on forest resources ⓘ information on forest carbon stocks ⓘ statistics on forest plantations ⓘ statistics on protected forest areas ⓘ |
| publicationYear | 2010 ⓘ |
| publishedBy |
Food and Agriculture Organization
ⓘ
surface form:
Food and Agriculture Organization of the United Nations
|
| publisher |
Food and Agriculture Organization
ⓘ
surface form:
FAO
|
| scope | global ⓘ |
| subject |
forest area change
ⓘ
forest biodiversity ⓘ forest carbon ⓘ forest conservation ⓘ forest management ⓘ forest use ⓘ world forest resources ⓘ |
| timeReference |
1990–2010
ⓘ
around 2010 ⓘ |
| usedBy |
governments
ⓘ
international organizations ⓘ researchers ⓘ |
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.
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.
Subject: FRA 2010 Description of subject: FRA 2010 is a major global assessment report that provides comprehensive data and analysis on the world’s forest resources and their changes around 2010.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.