Embarcadero Center
E43858
Embarcadero Center is a large mixed-use commercial complex in downtown San Francisco known for its office towers, shops, restaurants, and public plazas.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Embarcadero Center canonical | 18 |
| Embarcadero Center complex | 2 |
| Embarcadero Center area | 1 |
| Embarcadero Center shopping levels | 1 |
| One Embarcadero Center | 1 |
| One Embarcadero Center tower | 1 |
| Two Embarcadero Center | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T343132 — 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: Embarcadero Center Context triple: [Financial District (San Francisco), hasLandmark, Embarcadero Center]
-
A.
XL Center
The XL Center is a multi-purpose indoor arena in downtown Hartford, Connecticut, known for hosting major college basketball games, concerts, and other large-scale events.
-
B.
Riverfront Plaza
Riverfront Plaza is a public riverfront park and event space in downtown Hartford, Connecticut, featuring walkways, performance areas, and scenic views along the Connecticut River.
-
C.
Convention Center District
The Convention Center District is a central neighborhood in Dallas known for housing the Kay Bailey Hutchison Convention Center and serving as a major hub for events, business, and tourism.
-
D.
McCormick Place
McCormick Place is a massive convention center complex in Chicago and one of the largest and most prominent exhibition facilities in North America.
-
E.
Water Tower Place
Water Tower Place is a major mixed-use skyscraper and shopping complex in Chicago, known for its prominent location along the city’s Magnificent Mile.
- 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: Embarcadero Center Target entity description: Embarcadero Center is a large mixed-use commercial complex in downtown San Francisco known for its office towers, shops, restaurants, and public plazas.
-
A.
XL Center
The XL Center is a multi-purpose indoor arena in downtown Hartford, Connecticut, known for hosting major college basketball games, concerts, and other large-scale events.
-
B.
Riverfront Plaza
Riverfront Plaza is a public riverfront park and event space in downtown Hartford, Connecticut, featuring walkways, performance areas, and scenic views along the Connecticut River.
-
C.
Convention Center District
The Convention Center District is a central neighborhood in Dallas known for housing the Kay Bailey Hutchison Convention Center and serving as a major hub for events, business, and tourism.
-
D.
McCormick Place
McCormick Place is a massive convention center complex in Chicago and one of the largest and most prominent exhibition facilities in North America.
-
E.
Water Tower Place
Water Tower Place is a major mixed-use skyscraper and shopping complex in Chicago, known for its prominent location along the city’s Magnificent Mile.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
mixed-use commercial complex
ⓘ
office complex ⓘ shopping center ⓘ |
| architect | John Portman ⓘ |
| architecturalStyle | Modernist architecture ⓘ |
| city | San Francisco ⓘ |
| constructionStart | early 1970s ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| developer |
David Rockefeller
ⓘ
surface form:
David Rockefeller (through Rockefeller interests)
Trammell Crow Company ⓘ |
| hasAmenity |
conference facilities
ⓘ
fitness centers (in office components) ⓘ outdoor plazas ⓘ public art ⓘ rooftop terraces (on some levels) ⓘ |
| hasLandmark |
Four Embarcadero Center
ⓘ
surface form:
Four Embarcadero Center tower
Embarcadero Center self-linksurface differs ⓘ
surface form:
One Embarcadero Center tower
|
| hasPart |
Embarcadero Center
self-linksurface differs
ⓘ
surface form:
Embarcadero Center shopping levels
Four Embarcadero Center ⓘ Embarcadero Center self-linksurface differs ⓘ
surface form:
One Embarcadero Center
Three Embarcadero Center ⓘ Embarcadero Center self-linksurface differs ⓘ
surface form:
Two Embarcadero Center
cinema (historically) ⓘ pedestrian walkways ⓘ public plazas ⓘ restaurants ⓘ retail shops ⓘ |
| hasUse |
hospitality
ⓘ
office ⓘ parking ⓘ retail ⓘ |
| inception | 1970s ⓘ |
| locatedInArea |
Downtown San Francisco
ⓘ
Financial District (San Francisco) ⓘ
surface form:
Financial District, San Francisco
|
| location |
California, United States
ⓘ
surface form:
California
San Francisco ⓘ United States of America ⓘ
surface form:
United States
|
| nearbyFeature |
Fisherman’s Wharf
ⓘ
surface form:
San Francisco Embarcadero waterfront
Ferry Building ⓘ
surface form:
San Francisco Ferry Building
|
| nearbyPublicTransit |
BART Embarcadero Station
ⓘ
surface form:
Embarcadero station (BART and Muni Metro)
San Francisco Muni ⓘ
surface form:
San Francisco Muni bus lines
|
| numberOfBuildings | 4 office towers (core complex) ⓘ |
| openingDate | 1970s ⓘ |
| owner | Boston Properties ⓘ |
| significantFor |
integration of office towers with elevated retail levels and plazas
ⓘ
large-scale mixed-use development in downtown San Francisco ⓘ |
| state |
California, United States
ⓘ
surface form:
California
|
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: Embarcadero Center Description of subject: Embarcadero Center is a large mixed-use commercial complex in downtown San Francisco known for its office towers, shops, restaurants, and public plazas.
Referenced by (25)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Financial District (San Francisco)
this entity surface form:
Embarcadero Center area
this entity surface form:
One Embarcadero Center
this entity surface form:
Two Embarcadero Center
this entity surface form:
Embarcadero Center shopping levels
this entity surface form:
One Embarcadero Center tower
subject surface form:
Drumm Street
this entity surface form:
Embarcadero Center complex
this entity surface form:
Embarcadero Center complex