OpenSpending
E22464
OpenSpending is an open data project and platform that collects, visualizes, and makes government and public financial information accessible and analyzable.
All labels observed (5)
| Label | Occurrences |
|---|---|
| OpenSpending canonical | 5 |
| OpenSpending Data Package specification | 1 |
| OpenSpending Next | 1 |
| OpenSpending Next platform | 1 |
| OpenSpending.org | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T177034 — 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: OpenSpending Context triple: [Open Knowledge Foundation, hasProgram, OpenSpending]
-
A.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
-
B.
Open Knowledge Foundation
Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
-
C.
Open Data Institute
The Open Data Institute is a UK-based non-profit organization that advocates for and supports the use of open data to drive innovation, improve governance, and benefit society.
-
D.
Congressional Budget Office
The Congressional Budget Office is a nonpartisan federal agency that provides economic and budgetary analysis to the United States Congress.
-
E.
The Giving Pledge
The Giving Pledge is a philanthropic campaign that encourages the world’s wealthiest individuals and families to commit the majority of their wealth to charitable causes during their lifetimes or in their wills.
- 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: OpenSpending Target entity description: OpenSpending is an open data project and platform that collects, visualizes, and makes government and public financial information accessible and analyzable.
-
A.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
-
B.
Open Knowledge Foundation
Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
-
C.
Open Data Institute
The Open Data Institute is a UK-based non-profit organization that advocates for and supports the use of open data to drive innovation, improve governance, and benefit society.
-
D.
Congressional Budget Office
The Congressional Budget Office is a nonpartisan federal agency that provides economic and budgetary analysis to the United States Congress.
-
E.
The Giving Pledge
The Giving Pledge is a philanthropic campaign that encourages the world’s wealthiest individuals and families to commit the majority of their wealth to charitable causes during their lifetimes or in their wills.
- F. None of above. chosen
Statements (64)
| Predicate | Object |
|---|---|
| instanceOf |
open data platform
ⓘ
open government data project ⓘ web application ⓘ |
| dataType |
budget and spending records
ⓘ
geospatially referenced data ⓘ tabular data ⓘ time-series data ⓘ |
| developedBy | Open Knowledge Foundation ⓘ |
| domain |
e-government
ⓘ
open data ⓘ public finance ⓘ |
| focusesOn |
budget data
ⓘ
expenditure data ⓘ government spending data ⓘ procurement data ⓘ public financial information ⓘ |
| hasFeature |
CSV data export
ⓘ
JSON data export ⓘ REST API ⓘ budget and spending comparison ⓘ data import tools ⓘ data modeling tools ⓘ dataset catalog ⓘ documentation for data publishers ⓘ documentation for data users ⓘ documentation for developers ⓘ geographical breakdown of spending ⓘ interactive visualizations ⓘ organization-level spending views ⓘ project-level spending views ⓘ searchable datasets ⓘ spending browser interface ⓘ time-series analysis of spending ⓘ |
| hasGoal |
to enable analysis of government spending
ⓘ
to make public financial information accessible ⓘ to support transparency and accountability ⓘ |
| hasTopic |
budgets
ⓘ
expenditures ⓘ government accounts ⓘ public procurement ⓘ public sector projects ⓘ |
| maintainedBy | Open Knowledge Foundation ⓘ |
| partOfEcosystem |
Open Knowledge Foundation
ⓘ
surface form:
Open Knowledge Foundation projects
|
| predecessorOf |
OpenSpending
self-linksurface differs
ⓘ
surface form:
OpenSpending Next platform
|
| promotes |
civic engagement
ⓘ
fiscal transparency ⓘ open government ⓘ |
| relatedTo |
OpenSpending
self-linksurface differs
ⓘ
surface form:
OpenSpending Data Package specification
OpenSpending self-linksurface differs ⓘ
surface form:
OpenSpending Next
OpenSpending self-linksurface differs ⓘ
surface form:
OpenSpending.org
|
| supports |
APIs for programmatic access
ⓘ
bulk data download ⓘ data analysis ⓘ data exploration ⓘ data visualization ⓘ linked open data principles ⓘ |
| supportsStandard |
OpenSpending data model
ⓘ
open data best practices ⓘ |
| usedBy |
citizens
ⓘ
civil society organizations ⓘ journalists ⓘ policy analysts ⓘ researchers ⓘ |
| usesLicenseType | open license ⓘ |
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: OpenSpending Description of subject: OpenSpending is an open data project and platform that collects, visualizes, and makes government and public financial information accessible and analyzable.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Open Knowledge Foundation
this entity surface form:
OpenSpending.org
this entity surface form:
OpenSpending Next
this entity surface form:
OpenSpending Data Package specification
this entity surface form:
OpenSpending Next platform