Electronic Data Gathering, Analysis, and Retrieval system
E512101
The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the U.S. Securities and Exchange Commission’s online database that collects, stores, and provides public access to corporate financial and disclosure filings.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Electronic Data Gathering, Analysis, and Retrieval | 1 |
| Electronic Data Gathering, Analysis, and Retrieval system canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5340396 — 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: Electronic Data Gathering, Analysis, and Retrieval system Context triple: [EDGAR, fullName, Electronic Data Gathering, Analysis, and Retrieval system]
-
A.
Public Access to Court Electronic Records (PACER)
Public Access to Court Electronic Records (PACER) is an online service of the U.S. federal judiciary that provides electronic public access to federal court case and docket information nationwide.
-
B.
Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
-
C.
Europol Information System
The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
-
D.
Automatic Data Processing
Automatic Data Processing (ADP) is a major American provider of payroll, human resources, and workforce management software and services to businesses worldwide.
-
E.
Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
- 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: Electronic Data Gathering, Analysis, and Retrieval system Target entity description: The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the U.S. Securities and Exchange Commission’s online database that collects, stores, and provides public access to corporate financial and disclosure filings.
-
A.
Public Access to Court Electronic Records (PACER)
Public Access to Court Electronic Records (PACER) is an online service of the U.S. federal judiciary that provides electronic public access to federal court case and docket information nationwide.
-
B.
Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
-
C.
Europol Information System
The Europol Information System is a centralized EU law enforcement database that stores and shares criminal intelligence to support cross-border crime investigations among member states.
-
D.
Automatic Data Processing
Automatic Data Processing (ADP) is a major American provider of payroll, human resources, and workforce management software and services to businesses worldwide.
-
E.
Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
SEC filing system
ⓘ
information system ⓘ online database ⓘ regulatory filing system ⓘ |
| abbreviation | EDGAR ⓘ |
| accessibleTo |
analysts
ⓘ
general public ⓘ investors ⓘ regulators ⓘ |
| collects |
Form 10-K filings
ⓘ
linked to:
Form 10-K
Form 10-Q filings ⓘ
linked to:
Form 10-Q
Form 8-K filings ⓘ
linked to:
Form 8-K
investment company filings ⓘ mutual fund prospectuses ⓘ ownership reports such as Forms 3, 4, and 5 ⓘ proxy statements ⓘ registration statements ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataFormat | structured electronic filings ⓘ |
| developedBy |
U.S. Securities and Exchange Commission
ⓘ
linked to:
Securities and Exchange Commission
|
| goLiveDate | early 1990s ⓘ |
| governingBody |
U.S. Securities and Exchange Commission
ⓘ
linked to:
Securities and Exchange Commission
|
| hasFeature |
company-specific filing lookup
ⓘ
downloadable filing documents ⓘ full-text search of filings ⓘ real-time or near real-time filing availability ⓘ |
| jurisdiction | U.S. federal securities laws ⓘ |
| medium | web-based interface ⓘ |
| operatedBy |
U.S. Securities and Exchange Commission
ⓘ
linked to:
Securities and Exchange Commission
|
| purpose |
to automate the receipt and processing of securities filings
ⓘ
to collect corporate disclosure filings ⓘ to collect corporate financial filings ⓘ to provide public access to SEC filings ⓘ |
| regulates |
certain insider trading reports
ⓘ
mutual fund disclosure filings ⓘ public company disclosure filings ⓘ |
| replaced | paper-based SEC filing process ⓘ |
| sector |
financial regulation
ⓘ
securities regulation ⓘ |
| supportsFormat |
ASCII text
ⓘ
HTML ⓘ Inline XBRL ⓘ
linked to:
XBRL
XBRL ⓘ |
| usedBy |
foreign private issuers
ⓘ
insiders required to report holdings and transactions ⓘ mutual funds ⓘ publicly traded companies ⓘ |
| usedFor |
electronic submission of SEC filings
ⓘ
public search of SEC filings ⓘ regulatory disclosure transparency ⓘ |
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: Electronic Data Gathering, Analysis, and Retrieval system Description of subject: The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the U.S. Securities and Exchange Commission’s online database that collects, stores, and provides public access to corporate financial and disclosure filings.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.