ORCA
E1023336
ORCA (Online Representations and Certifications Application) was a U.S. federal e-government system used by contractors to submit and maintain required representations and certifications for federal procurement.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ORCA canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T13105259 — 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: ORCA Context triple: [SAM.gov, replaced, ORCA]
-
A.
ORCA
ORCA is a regional smart transit card system used for paying fares across multiple public transportation agencies in the Puget Sound region of Washington State.
-
B.
ORCA
ORCA is a widely used, versatile quantum chemistry software package known for its efficient and accurate implementations of electronic structure methods, including density functional theory.
-
C.
Orka
Orka is a super-strong, whale-themed Marvel Comics villain and occasional antihero who has served on teams like the Heroes for Hire.
-
D.
Orca
Orca is a 1977 horror-thriller film about a vengeful killer whale that targets the fisherman who killed its mate.
-
E.
Tokitae (orca)
Tokitae (also known as Lolita) was a captive female orca who lived for decades at the Miami Seaquarium and became a prominent symbol in debates over marine mammal captivity and welfare.
- 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: ORCA Target entity description: ORCA (Online Representations and Certifications Application) was a U.S. federal e-government system used by contractors to submit and maintain required representations and certifications for federal procurement.
-
A.
ORCA
ORCA is a regional smart transit card system used for paying fares across multiple public transportation agencies in the Puget Sound region of Washington State.
-
B.
ORCA
ORCA is a widely used, versatile quantum chemistry software package known for its efficient and accurate implementations of electronic structure methods, including density functional theory.
-
C.
Orka
Orka is a super-strong, whale-themed Marvel Comics villain and occasional antihero who has served on teams like the Heroes for Hire.
-
D.
Orca
Orca is a 1977 horror-thriller film about a vengeful killer whale that targets the fisherman who killed its mate.
-
E.
Tokitae (orca)
Tokitae (also known as Lolita) was a captive female orca who lived for decades at the Miami Seaquarium and became a prominent symbol in debates over marine mammal captivity and welfare.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
U.S. federal procurement system
ⓘ
e-government system ⓘ |
| accessMethod | web-based interface ⓘ |
| acronym | ORCA ⓘ |
| authenticationRequirement | contractor registration ⓘ |
| contains |
annual representations and certifications
ⓘ
business size and status information ⓘ compliance certifications ⓘ point of contact information ⓘ socioeconomic status representations ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataType |
business information for federal awards
ⓘ
contractor certifications ⓘ contractor representations ⓘ |
| domain | federal acquisition ⓘ |
| fullName | Online Representations and Certifications Application ⓘ |
| integratedInto |
System for Award Management
ⓘ
linked to:
Integrated Award Environment
|
| language | English ⓘ |
| operatedBy |
U.S. General Services Administration
ⓘ
U.S. federal government ⓘ
linked to:
United States government
|
| policyGoal |
e-government modernization of procurement
ⓘ
improve data accuracy in contractor records ⓘ |
| predecessor | paper-based Standard Form 33 representations and certifications ⓘ |
| purpose |
centralize contractor representations and certifications
ⓘ
reduce paperwork burden in federal procurement ⓘ streamline contractor reps and certs ⓘ |
| regulatoryBasis | Federal Acquisition Regulation Part 4 ⓘ |
| relatedTo |
Central Contractor Registration
ⓘ
Federal Acquisition Regulation ⓘ System for Award Management ⓘ
linked to:
Integrated Award Environment
|
| relevance | U.S. government contracting ⓘ |
| replaced |
paper-based representations and certifications
ⓘ
submission of reps and certs with each federal contract offer ⓘ |
| scope |
U.S. federal executive agencies
ⓘ
linked to:
U.S. federal agencies
|
| sector | public procurement ⓘ |
| status | retired system ⓘ |
| successor |
System for Award Management
ⓘ
linked to:
Integrated Award Environment
|
| usedFor |
federal procurement
ⓘ
maintenance of contractor certifications ⓘ maintenance of contractor representations ⓘ submission of contractor certifications ⓘ submission of contractor representations ⓘ |
| userType |
federal contracting officers
ⓘ
federal contractors ⓘ prospective federal contractors ⓘ |
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: ORCA Description of subject: ORCA (Online Representations and Certifications Application) was a U.S. federal e-government system used by contractors to submit and maintain required representations and certifications for federal procurement.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.