Mulholland Point
E716092
Mulholland Point is a coastal headland in New Brunswick, Canada, overlooking the Bay of Fundy near the border with the United States.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mulholland Point canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8171764 — 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: Mulholland Point Context triple: [Mulholland Point Lighthouse, locatedOn, Mulholland Point]
-
A.
Mulholland Falls
Mulholland Falls is a 1996 neo-noir crime thriller film set in 1950s Los Angeles, following a hard-edged LAPD squad as they investigate a mysterious murder tied to government secrets.
-
B.
Riverhouse
Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
-
C.
Zabriskie Hall
Zabriskie Hall is a historic academic building on the campus of Wells College in Aurora, New York.
-
D.
Regatta Point
Regatta Point is a prominent waterfront area and lookout in Canberra, Australia, offering scenic views over Lake Burley Griffin and housing the National Capital Exhibition.
-
E.
Regatta Point
Regatta Point is a recreational area and park on Lake Quinsigamond in Massachusetts, known for boating, picnicking, and waterfront activities.
- 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: Mulholland Point Target entity description: Mulholland Point is a coastal headland in New Brunswick, Canada, overlooking the Bay of Fundy near the border with the United States.
-
A.
Mulholland Falls
Mulholland Falls is a 1996 neo-noir crime thriller film set in 1950s Los Angeles, following a hard-edged LAPD squad as they investigate a mysterious murder tied to government secrets.
-
B.
Riverhouse
Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
-
C.
Zabriskie Hall
Zabriskie Hall is a historic academic building on the campus of Wells College in Aurora, New York.
-
D.
Regatta Point
Regatta Point is a prominent waterfront area and lookout in Canberra, Australia, offering scenic views over Lake Burley Griffin and housing the National Capital Exhibition.
-
E.
Regatta Point
Regatta Point is a recreational area and park on Lake Quinsigamond in Massachusetts, known for boating, picnicking, and waterfront activities.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
coastal landform
ⓘ
headland ⓘ |
| adjacentTo | Passamaquoddy Bay ⓘ |
| bodyOfWater | Bay of Fundy ⓘ |
| continent | North America ⓘ |
| country | Canada ⓘ |
| hasCharacteristic |
rocky shoreline
ⓘ
scenic viewpoint ⓘ tidal environment ⓘ |
| hasViewOf |
Franklin Delano Roosevelt Bridge
ⓘ
Lubec Channel ⓘ Lubec Narrows ⓘ
linked to:
Lubec Channel
|
| locatedIn |
Campobello Island
ⓘ
linked to:
Campobello Island, New Brunswick, Canada
New Brunswick ⓘ |
| locatedInTimeZone | Atlantic Time Zone ⓘ |
| locatedNear |
Lubec, Maine
ⓘ
United States border ⓘ |
| locatedOn | Atlantic Ocean ⓘ |
| nearbyFeature |
Mulholland Point Lighthouse
ⓘ
Roosevelt Campobello International Park ⓘ |
| overlooks | Bay of Fundy ⓘ |
| partOf |
Bay of Fundy coast
ⓘ
linked to:
Fundy Shore
Charlotte County, New Brunswick ⓘ |
| region | Atlantic Canada ⓘ |
| usedFor |
recreation
ⓘ
sightseeing ⓘ tourism ⓘ |
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: Mulholland Point Description of subject: Mulholland Point is a coastal headland in New Brunswick, Canada, overlooking the Bay of Fundy near the border with the United States.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.