WDI
E564692
WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| WDI canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T6039629 — 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: WDI Context triple: [World Development Indicators, acronym, WDI]
-
A.
DWDP
DWDP was the stock ticker symbol for DowDuPont Inc., the large American chemical conglomerate formed by the merger of Dow Chemical and DuPont before its subsequent breakup into separate companies.
-
B.
School of Data
School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
-
C.
NIIT
NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
-
D.
SWE
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
-
E.
WSDC
WSDC is the commonly used abbreviation for the World Single Distances Speed Skating Championships, an international competition where elite speed skaters race specific distances for world titles.
- 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: WDI Target entity description: WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
-
A.
DWDP
DWDP was the stock ticker symbol for DowDuPont Inc., the large American chemical conglomerate formed by the merger of Dow Chemical and DuPont before its subsequent breakup into separate companies.
-
B.
School of Data
School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
-
C.
NIIT
NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
-
D.
SWE
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
-
E.
WSDC
WSDC is the commonly used abbreviation for the World Single Distances Speed Skating Championships, an international competition where elite speed skaters race specific distances for world titles.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
World Bank database
ⓘ
development indicators dataset ⓘ statistical database ⓘ |
| abbreviationFor | World Development Indicators ⓘ |
| accessMethod |
API
ⓘ
World Bank Data website ⓘ bulk download ⓘ |
| coversTopic |
demographics
ⓘ
economic development ⓘ education ⓘ environment ⓘ environmental indicators ⓘ governance ⓘ health ⓘ infrastructure ⓘ poverty ⓘ social development ⓘ |
| dataSource |
World Bank operations
ⓘ
international agencies ⓘ national statistical offices ⓘ |
| dataType |
aggregate statistics
ⓘ
time series ⓘ |
| focusesOn | global development statistics ⓘ |
| geographicScope | worldwide ⓘ |
| hasAbbreviation | WDI ⓘ |
| includesDataFor |
countries
ⓘ
income groups ⓘ regions ⓘ |
| includesIndicatorType |
Millennium Development Goals legacy indicators
ⓘ
linked to:
Millennium Development Goals
SDG-related indicators ⓘ |
| language | English ⓘ |
| license | open data ⓘ |
| maintainedBy |
World Bank Data Group
ⓘ
linked to:
World Bank Group
|
| organizationTypeOfPublisher | international financial institution ⓘ |
| providedBy |
The World Bank Group
ⓘ
linked to:
World Bank Group
|
| publisher | World Bank ⓘ |
| publisherHeadquartersLocation | Washington, D.C. ⓘ |
| purpose |
enable cross-country comparisons
ⓘ
monitor global development progress ⓘ support evidence-based policymaking ⓘ |
| usedBy |
development practitioners
ⓘ
policymakers ⓘ researchers ⓘ students ⓘ |
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: WDI Description of subject: WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
WDI