Shalom Baranes Associates
E528155
Shalom Baranes Associates is a prominent Washington, D.C.–based architecture firm known for large-scale urban, mixed-use, and institutional projects.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Shalom Baranes Associates canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5541532 — 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: Shalom Baranes Associates Context triple: [CityCenterDC, architect, Shalom Baranes Associates]
-
A.
Safdie Architects
Safdie Architects is an international architecture and urban design firm renowned for its innovative, human-centered projects that often integrate nature and bold geometric forms.
-
B.
Omrania and Associates
Omrania and Associates is a Saudi-based architectural and engineering firm known for designing prominent modern landmarks and large-scale urban projects in the Middle East.
-
C.
Scharfstein Architects
Scharfstein Architects is an architectural firm known for its role in designing the Red Bull Arena soccer stadium in Harrison, New Jersey.
-
D.
Magnusson Klemencic Associates
Magnusson Klemencic Associates is a prominent structural and civil engineering firm known for its innovative design of complex buildings and performance venues worldwide.
-
E.
Parish-Hadley Associates
Parish-Hadley Associates was a highly influential American interior design firm renowned for shaping 20th-century high-society and traditional interior aesthetics.
- 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: Shalom Baranes Associates Target entity description: Shalom Baranes Associates is a prominent Washington, D.C.–based architecture firm known for large-scale urban, mixed-use, and institutional projects.
-
A.
Safdie Architects
Safdie Architects is an international architecture and urban design firm renowned for its innovative, human-centered projects that often integrate nature and bold geometric forms.
-
B.
Omrania and Associates
Omrania and Associates is a Saudi-based architectural and engineering firm known for designing prominent modern landmarks and large-scale urban projects in the Middle East.
-
C.
Scharfstein Architects
Scharfstein Architects is an architectural firm known for its role in designing the Red Bull Arena soccer stadium in Harrison, New Jersey.
-
D.
Magnusson Klemencic Associates
Magnusson Klemencic Associates is a prominent structural and civil engineering firm known for its innovative design of complex buildings and performance venues worldwide.
-
E.
Parish-Hadley Associates
Parish-Hadley Associates was a highly influential American interior design firm renowned for shaping 20th-century high-society and traditional interior aesthetics.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf | architecture firm ⓘ |
| areaOfWork |
adaptive reuse
ⓘ
civic architecture ⓘ commercial architecture ⓘ historic preservation ⓘ institutional buildings ⓘ large-scale urban projects ⓘ master planning ⓘ mixed-use developments ⓘ residential architecture ⓘ urban design ⓘ |
| city | Washington, D.C. ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| foundedBy | Shalom Baranes ⓘ |
| hasClientType |
cultural institutions
ⓘ
educational institutions ⓘ federal government ⓘ local government ⓘ private developers ⓘ |
| hasReputation | prominent Washington, D.C.–based architecture firm ⓘ |
| hasSpecialization |
federal office buildings
ⓘ
government facilities ⓘ institutional campuses ⓘ mixed-use urban districts ⓘ |
| headquartersLocation | Washington, D.C. ⓘ |
| industry | architecture ⓘ |
| languageOfWork | English ⓘ |
| locatedIn |
District of Columbia
ⓘ
Washington metropolitan area ⓘ |
| namedAfter | Shalom Baranes ⓘ |
| notableProject |
CityCenterDC
ⓘ
Federal Office Building 8 (Washington, D.C.) renovation ⓘ The Apollo (H Street NE, Washington, D.C.) ⓘ The Columbia Residences (Washington, D.C.) ⓘ The Darcy and The Flats (Bethesda, Maryland) ⓘ The Hepburn (residential building, Washington, D.C.) ⓘ The Residences at CityCenterDC ⓘ The Wharf (Washington, D.C.) ⓘ The Woodley (Washington, D.C.) ⓘ The Yards (Washington, D.C.) ⓘ U.S. Institute of Peace Headquarters ⓘ
linked to:
United States Institute of Peace
United States Department of Homeland Security St. Elizabeths Campus redevelopment ⓘ |
| operatesInSector |
built environment
ⓘ
real estate development support ⓘ |
| regionServed |
Mid-Atlantic United States
ⓘ
linked to:
Mid-Atlantic states
Washington, D.C. ⓘ |
| website | https://www.sbaranes.com/ ⓘ |
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: Shalom Baranes Associates Description of subject: Shalom Baranes Associates is a prominent Washington, D.C.–based architecture firm known for large-scale urban, mixed-use, and institutional projects.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.