Do Not Pay system
E32905
The Do Not Pay system is a U.S. government data analytics platform used to prevent and detect improper payments by screening recipients against multiple federal and state databases.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Do Not Pay program | 2 |
| Do Not Pay system canonical | 2 |
| Do Not Pay portal | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T254019 — 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: Do Not Pay system Context triple: [Bureau of the Fiscal Service, usesSystem, Do Not Pay system]
-
A.
Presto card
The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
-
B.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
-
C.
Google Pay
Google Pay is a digital wallet and online payment platform developed by Google that enables users to make secure contactless payments, in-app purchases, and online transactions using their devices.
-
D.
Pago Pago
Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
-
E.
NDAC
NDAC is a dedicated handshake signal line in the IEEE 488 (GPIB) interface used by devices to indicate that they have not yet accepted data.
- 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: Do Not Pay system Target entity description: The Do Not Pay system is a U.S. government data analytics platform used to prevent and detect improper payments by screening recipients against multiple federal and state databases.
-
A.
Presto card
The Presto card is a reloadable smart card used for paying public transit fares across the Greater Toronto and Hamilton Area and other regions in Ontario, Canada.
-
B.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
-
C.
Google Pay
Google Pay is a digital wallet and online payment platform developed by Google that enables users to make secure contactless payments, in-app purchases, and online transactions using their devices.
-
D.
Pago Pago
Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
-
E.
NDAC
NDAC is a dedicated handshake signal line in the IEEE 488 (GPIB) interface used by devices to indicate that they have not yet accepted data.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
government data analytics platform
ⓘ
improper payment prevention system ⓘ |
| accessMode | secure online portal ⓘ |
| appliesTo |
federal agencies
ⓘ
local agencies ⓘ state agencies ⓘ |
| benefit |
improves payment integrity
ⓘ
saves taxpayer funds ⓘ supports fraud risk management ⓘ |
| checksFor |
debarred contractors
ⓘ
deceased individuals ⓘ duplicate payments ⓘ improper beneficiary information ⓘ ineligible recipients ⓘ suspended entities ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataType |
beneficiary identity data
ⓘ
death records ⓘ exclusion lists ⓘ payment eligibility data ⓘ sanctions lists ⓘ |
| function | screen recipients against multiple databases ⓘ |
| goal |
reduce government-wide improper payment rates
ⓘ
standardize eligibility screening across agencies ⓘ |
| method |
post‑payment review
ⓘ
pre‑payment screening ⓘ |
| operatedBy |
Bureau of the Fiscal Service
ⓘ
United States Department of the Treasury ⓘ
surface form:
U.S. Department of the Treasury
|
| purpose |
detect improper payments
ⓘ
prevent improper payments ⓘ reduce payment errors ⓘ reduce payment fraud ⓘ |
| regulatoryContext |
Improper Payments Elimination and Recovery Act
ⓘ
Improper Payments Elimination and Recovery Act ⓘ
surface form:
Improper Payments Elimination and Recovery Improvement Act
Payment Integrity Information Act ⓘ |
| sector | public sector payments ⓘ |
| technology |
analytics
ⓘ
data matching ⓘ risk modeling ⓘ |
| users |
agency payment officials
ⓘ
federal program integrity staff ⓘ payment auditors ⓘ |
| uses |
federal databases
ⓘ
state databases ⓘ |
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: Do Not Pay system Description of subject: The Do Not Pay system is a U.S. government data analytics platform used to prevent and detect improper payments by screening recipients against multiple federal and state databases.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Do Not Pay program
this entity surface form:
Do Not Pay program
this entity surface form:
Do Not Pay portal