Building 4
E225823
Building 4 is one of the main interconnected academic buildings on the Massachusetts Institute of Technology campus, housing classrooms, laboratories, and offices along the Infinite Corridor.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Building 4 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2016052 — 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: Building 4 Context triple: [MIT Building 4, campusDesignation, Building 4]
-
A.
Building 46
Building 46 is MIT’s neuroscience and cognitive science hub, housing the Department of Brain and Cognitive Sciences and related research facilities.
-
B.
Building 32
Building 32 is the Ray and Maria Stata Center at MIT, a distinctive Frank Gehry–designed academic complex housing computer science and artificial intelligence research facilities.
-
C.
North Building
North Building is one of the main exhibition and convention halls within Chicago’s McCormick Place complex, hosting large-scale trade shows and events.
-
D.
Main Building
The Main Building of the Tel Aviv Museum of Art is its principal exhibition complex, housing major collections of modern and contemporary art and serving as the museum’s central architectural landmark.
-
E.
South Building
South Building is a major exhibition hall within Chicago’s McCormick Place convention center complex, used for large trade shows and events.
- 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: Building 4 Target entity description: Building 4 is one of the main interconnected academic buildings on the Massachusetts Institute of Technology campus, housing classrooms, laboratories, and offices along the Infinite Corridor.
-
A.
Building 46
Building 46 is MIT’s neuroscience and cognitive science hub, housing the Department of Brain and Cognitive Sciences and related research facilities.
-
B.
Building 32
Building 32 is the Ray and Maria Stata Center at MIT, a distinctive Frank Gehry–designed academic complex housing computer science and artificial intelligence research facilities.
-
C.
North Building
North Building is one of the main exhibition and convention halls within Chicago’s McCormick Place complex, hosting large-scale trade shows and events.
-
D.
Main Building
The Main Building of the Tel Aviv Museum of Art is its principal exhibition complex, housing major collections of modern and contemporary art and serving as the museum’s central architectural landmark.
-
E.
South Building
South Building is a major exhibition hall within Chicago’s McCormick Place convention center complex, used for large trade shows and events.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
academic building
ⓘ
campus building ⓘ |
| adjacentTo |
Building 2
ⓘ
Building 6 ⓘ |
| campusArea | Main Group ⓘ |
| campusRole | main interconnected academic building ⓘ |
| campusZone | central campus ⓘ |
| connectedBy | corridors ⓘ |
| connectedTo | Infinite Corridor ⓘ |
| contains |
classrooms
ⓘ
laboratories ⓘ offices ⓘ |
| function |
academic instruction
ⓘ
faculty offices ⓘ research activities ⓘ |
| hasAccessFrom | Infinite Corridor ⓘ |
| hasFacilityType |
administrative offices
ⓘ
research labs ⓘ teaching spaces ⓘ |
| locatedIn |
MIT Cambridge campus
ⓘ
surface form:
Massachusetts Institute of Technology campus
|
| locatedInCity | Cambridge, Massachusetts ⓘ |
| locatedInCountry |
United States of America
ⓘ
surface form:
United States
|
| ownedBy | Massachusetts Institute of Technology ⓘ |
| partOf | Massachusetts Institute of Technology ⓘ |
| usedBy |
MIT faculty
ⓘ
MIT staff ⓘ MIT students ⓘ |
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: Building 4 Description of subject: Building 4 is one of the main interconnected academic buildings on the Massachusetts Institute of Technology campus, housing classrooms, laboratories, and offices along the Infinite Corridor.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.