Federal Realty Investment Trust
E13630
Federal Realty Investment Trust is a U.S.-based real estate investment trust specializing in owning, managing, and redeveloping high-quality retail and mixed-use properties in major metropolitan markets.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Federal Realty Investment Trust canonical | 9 |
| Federal Realty Investment Company | 2 |
| Maryland real estate investment trust | 1 |
| U.S. REIT | 1 |
| federal realty specialists | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T125074 — 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: Federal Realty Investment Trust Context triple: [Assembly Row, hasDeveloper, Federal Realty Investment Trust]
-
A.
Empire State Realty Trust
Empire State Realty Trust is a publicly traded real estate investment trust best known for owning and managing the Empire State Building and other office and retail properties, primarily in the New York City area.
-
B.
Vici Properties
Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
-
C.
The Durst Organization
The Durst Organization is a prominent New York City–based real estate development and management company known for its portfolio of major commercial skyscrapers and sustainable office buildings.
-
D.
Blackstone Inc.
Blackstone Inc. is a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund investment strategies.
-
E.
Woodbine Development Corporation
Woodbine Development Corporation is a Dallas-based real estate development firm known for creating prominent commercial and hospitality projects, including iconic landmarks in the city’s skyline.
- 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: Federal Realty Investment Trust Target entity description: Federal Realty Investment Trust is a U.S.-based real estate investment trust specializing in owning, managing, and redeveloping high-quality retail and mixed-use properties in major metropolitan markets.
-
A.
Empire State Realty Trust
Empire State Realty Trust is a publicly traded real estate investment trust best known for owning and managing the Empire State Building and other office and retail properties, primarily in the New York City area.
-
B.
Vici Properties
Vici Properties is a large publicly traded real estate investment trust (REIT) that specializes in owning gaming, hospitality, and entertainment properties across the United States.
-
C.
The Durst Organization
The Durst Organization is a prominent New York City–based real estate development and management company known for its portfolio of major commercial skyscrapers and sustainable office buildings.
-
D.
Blackstone Inc.
Blackstone Inc. is a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund investment strategies.
-
E.
Woodbine Development Corporation
Woodbine Development Corporation is a Dallas-based real estate development firm known for creating prominent commercial and hospitality projects, including iconic landmarks in the city’s skyline.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
public company
ⓘ
real estate investment trust ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| focusesOn |
high-quality retail properties
ⓘ
mixed-use properties in major metropolitan markets ⓘ |
| foundedBy | Samuel J. Gorlitz ⓘ |
| foundedIn | 1962 ⓘ |
| hasBusinessModel | leasing space to retailers and other tenants ⓘ |
| hasCorporateStructure | internally managed REIT ⓘ |
| hasNotableProperty |
Assembly Row
ⓘ
Barracks Road ⓘ Barracks Road Shopping Center ⓘ Bethesda Row ⓘ Coconut Point ⓘ Old Town Center ⓘ Pike & Rose ⓘ Plaza El Segundo ⓘ Santana Row ⓘ The Grove at Shrewsbury ⓘ The Point at El Segundo ⓘ The Shops at Sunset Place ⓘ The Village at Shirlington ⓘ |
| hasPortfolioType |
shopping centers
ⓘ
street retail properties ⓘ urban mixed-use centers ⓘ |
| hasReportingStandard |
US GAAP
ⓘ
surface form:
U.S. GAAP
|
| hasStrategy |
creating mixed-use environments with residential, office, and retail
ⓘ
redevelopment and densification of existing properties ⓘ |
| hasTenantType |
entertainment venues
ⓘ
national retailers ⓘ office tenants ⓘ regional retailers ⓘ residential tenants ⓘ restaurants ⓘ |
| headquartersLocation |
Maryland
ⓘ
North Bethesda, Maryland ⓘ Washington metropolitan area ⓘ
surface form:
Washington, D.C. metropolitan area
|
| inception | 1962 ⓘ |
| industry |
mixed-use real estate
ⓘ
real estate ⓘ retail real estate ⓘ |
| isListedOn |
S&P 500 Index
ⓘ
surface form:
S&P 500
|
| isSubjectTo | U.S. REIT tax regulations ⓘ |
| legalForm | REIT ⓘ |
| operatesIn | major U.S. metropolitan markets ⓘ |
| paysOut | regular dividends to shareholders ⓘ |
| specializesIn |
managing retail properties
ⓘ
mixed-use properties ⓘ owning retail properties ⓘ redeveloping retail properties ⓘ |
| stockExchange | New York Stock Exchange ⓘ |
| tickerSymbol | FRT ⓘ |
| tradedAs | NYSE:FRT ⓘ |
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: Federal Realty Investment Trust Description of subject: Federal Realty Investment Trust is a U.S.-based real estate investment trust specializing in owning, managing, and redeveloping high-quality retail and mixed-use properties in major metropolitan markets.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Federal Realty Investment Trust
this entity surface form:
Federal Realty Investment Company
subject surface form:
Federal Realty Investment Trust
this entity surface form:
Federal Realty Investment Company
subject surface form:
Federal Realty Investment Trust
this entity surface form:
Maryland real estate investment trust
this entity surface form:
federal realty specialists
this entity surface form:
U.S. REIT