DERA
E39112
DERA is the U.S. Securities and Exchange Commission’s Division of Economic and Risk Analysis, which provides data-driven economic, financial, and risk assessment support for the agency’s rulemaking and oversight activities.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DERA canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T303342 — 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: DERA Context triple: [Division of Economic and Risk Analysis, abbreviation, DERA]
-
A.
Thatta
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
-
B.
Hazaragi
Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
-
C.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
D.
Pkhali
Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
-
E.
DZA
DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
- 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: DERA Target entity description: DERA is the U.S. Securities and Exchange Commission’s Division of Economic and Risk Analysis, which provides data-driven economic, financial, and risk assessment support for the agency’s rulemaking and oversight activities.
-
A.
Thatta
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
-
B.
Hazaragi
Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
-
C.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
D.
Pkhali
Pkhali is a traditional Georgian dish of finely chopped vegetables or greens mixed with ground walnuts, garlic, herbs, and spices, often served as a cold appetizer.
-
E.
DZA
DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
division of a government agency
ⓘ
division of the U.S. Securities and Exchange Commission ⓘ |
| abbreviation | DERA ⓘ |
| activity |
cost-benefit analysis for SEC rulemaking
ⓘ
data collection and analysis related to securities markets ⓘ development of risk assessment models ⓘ economic analysis of existing SEC rules ⓘ economic analysis of proposed SEC rules ⓘ policy evaluation and impact studies ⓘ risk assessment of securities markets ⓘ supporting disclosure and reporting initiatives with economic analysis ⓘ supporting enforcement and examination programs with data analytics ⓘ |
| collaboratesWith |
Division of Enforcement of the SEC
ⓘ
Office of Compliance Inspections and Examinations of the SEC ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| employer |
data scientists
ⓘ
economists ⓘ financial analysts ⓘ research staff ⓘ statisticians ⓘ |
| field |
data analytics
ⓘ
economics ⓘ finance ⓘ risk analysis ⓘ |
| focusesOn |
capital formation
ⓘ
investor protection ⓘ market efficiency ⓘ systemic risk ⓘ |
| fullName | Division of Economic and Risk Analysis ⓘ |
| industry | financial regulation ⓘ |
| jurisdiction | U.S. federal securities markets ⓘ |
| languageOfWork | English ⓘ |
| location | Washington, D.C. ⓘ |
| parentOrganization |
U.S. Securities and Exchange Commission
ⓘ
linked to:
Securities and Exchange Commission
|
| partOf |
SEC’s policy-making process
ⓘ
SEC’s risk monitoring framework ⓘ |
| purpose |
to provide data-driven economic, financial, and risk assessment support to the SEC
ⓘ
to support SEC oversight activities ⓘ to support SEC rulemaking ⓘ |
| regulatesThrough | economic input into SEC rules and guidance ⓘ |
| reportsTo | Chair of the U.S. Securities and Exchange Commission ⓘ |
| sector | public sector ⓘ |
| supports | SEC divisions and offices ⓘ |
| usesMethod |
econometric analysis
ⓘ
empirical research ⓘ large-scale data analysis ⓘ statistical modeling ⓘ |
| website | https://www.sec.gov/dera ⓘ |
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: DERA Description of subject: DERA is the U.S. Securities and Exchange Commission’s Division of Economic and Risk Analysis, which provides data-driven economic, financial, and risk assessment support for the agency’s rulemaking and oversight activities.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.