USA 17 trimaran
E420016
USA 17 trimaran is a high-performance, wing-sailed multihull racing yacht that Oracle Team USA campaigned to win the 33rd America’s Cup.
All labels observed (1)
| Label | Occurrences |
|---|---|
| USA 17 trimaran canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4180985 — 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: USA 17 trimaran Context triple: [Oracle Team USA, boatTypeUsed, USA 17 trimaran]
-
A.
Granma yacht
The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
-
B.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
C.
MV Arlanza
MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
-
D.
Aeromar
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
-
E.
NOAA Ship Rainier
NOAA Ship Rainier is a National Oceanic and Atmospheric Administration hydrographic survey vessel primarily used to map and chart coastal waters for safe navigation.
- 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: USA 17 trimaran Target entity description: USA 17 trimaran is a high-performance, wing-sailed multihull racing yacht that Oracle Team USA campaigned to win the 33rd America’s Cup.
-
A.
Granma yacht
The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
-
B.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
C.
MV Arlanza
MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
-
D.
Aeromar
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
-
E.
NOAA Ship Rainier
NOAA Ship Rainier is a National Oceanic and Atmospheric Administration hydrographic survey vessel primarily used to map and chart coastal waters for safe navigation.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
America's Cup yacht
ⓘ
multihull sailing yacht ⓘ racing yacht ⓘ trimaran ⓘ |
| achievement | first America’s Cup win for Oracle Team USA ⓘ |
| builder | Core Builders Composites ⓘ |
| campaign | 33rd America’s Cup NERFINISHED ⓘ |
| category |
America’s Cup multihulls
ⓘ
experimental racing yachts ⓘ |
| challengerYachtClub | Golden Gate Yacht Club NERFINISHED ⓘ |
| class | custom Deed of Gift multihull ⓘ |
| competedAgainst |
Alinghi
ⓘ
surface form:
Alinghi 5
|
| competitionFormat | Deed of Gift match ⓘ |
| constructionMaterial | carbon fiber composite ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| crewRole | helmsman ⓘ |
| cupEdition | 33rd America’s Cup NERFINISHED ⓘ |
| defeatedDefender | Alinghi NERFINISHED ⓘ |
| defenderYachtClubDefeated | Société Nautique de Genève NERFINISHED ⓘ |
| designer |
Mike Drummond
NERFINISHED
ⓘ
Morrelli & Melvin Design and Engineering ⓘ VPLP design ⓘ |
| event | winner of the 33rd America’s Cup ⓘ |
| hasAlternativeName |
BMW Oracle Racing
ⓘ
surface form:
BMW Oracle Racing 90
BOR 90 ⓘ USA-17 ⓘ |
| helmsman | James Spithill NERFINISHED ⓘ |
| hullType | trimaran ⓘ |
| influenced |
AC72 class design philosophy
ⓘ
subsequent wing-sailed America’s Cup catamarans ⓘ |
| locationOfVictory |
Valencia
ⓘ
surface form:
Valencia, Spain
|
| notableFeature |
high-performance multihull design
ⓘ
very large rigid wing sail ⓘ |
| notableFor | introducing giant wing sail technology to the America’s Cup ⓘ |
| operator | Oracle Team USA NERFINISHED ⓘ |
| owner |
Larry Ellison
ⓘ
surface form:
Larry Ellison (through Oracle racing syndicate)
|
| propulsion | wind ⓘ |
| representing | Golden Gate Yacht Club NERFINISHED ⓘ |
| rigType | solid wing sail ⓘ |
| sailNumber | USA 17 ⓘ |
| sailPlan | wing sail ⓘ |
| team | BMW Oracle Racing NERFINISHED ⓘ |
| usedFor |
America’s Cup racing
NERFINISHED
ⓘ
sailing speed trials ⓘ |
| victoryYear | 2010 ⓘ |
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: USA 17 trimaran Description of subject: USA 17 trimaran is a high-performance, wing-sailed multihull racing yacht that Oracle Team USA campaigned to win the 33rd America’s Cup.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.