USS Michigan
E826368
USS Michigan was a 19th-century United States Navy warship that served on the Great Lakes, notable as one of the Navy’s earliest iron-hulled steam-powered vessels.
All labels observed (1)
| Label | Occurrences |
|---|---|
| USS Michigan canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9611261 — 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: USS Michigan Context triple: [Francis Asbury Roe, shipCommanded, USS Michigan]
-
A.
USS Milwaukee
USS Milwaukee was a United States Navy warship whose deep-sea sounding work contributed to the discovery of the Milwaukee Deep, one of the deepest points in the Atlantic Ocean.
-
B.
USS Hartford
USS Hartford was a prominent Union Navy screw sloop-of-war that served as Admiral David Farragut’s flagship in several major Civil War naval engagements, including the Battle of Mobile Bay.
-
C.
USS Wisconsin
USS Wisconsin is an Iowa-class U.S. Navy battleship that served in World War II and later conflicts, known for its heavy firepower and long operational history.
-
D.
USS Alabama
USS Alabama was a South Dakota-class battleship of the United States Navy that served prominently in the Pacific Theater during World War II, providing anti-aircraft defense and shore bombardment support.
-
E.
USS Chicago
USS Chicago was a U.S. Navy heavy cruiser that served in the Pacific during World War II, seeing significant action before being sunk in early 1943.
- 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: USS Michigan Target entity description: USS Michigan was a 19th-century United States Navy warship that served on the Great Lakes, notable as one of the Navy’s earliest iron-hulled steam-powered vessels.
-
A.
USS Milwaukee
USS Milwaukee was a United States Navy warship whose deep-sea sounding work contributed to the discovery of the Milwaukee Deep, one of the deepest points in the Atlantic Ocean.
-
B.
USS Hartford
USS Hartford was a prominent Union Navy screw sloop-of-war that served as Admiral David Farragut’s flagship in several major Civil War naval engagements, including the Battle of Mobile Bay.
-
C.
USS Wisconsin
USS Wisconsin is an Iowa-class U.S. Navy battleship that served in World War II and later conflicts, known for its heavy firepower and long operational history.
-
D.
USS Alabama
USS Alabama was a South Dakota-class battleship of the United States Navy that served prominently in the Pacific Theater during World War II, providing anti-aircraft defense and shore bombardment support.
-
E.
USS Chicago
USS Chicago was a U.S. Navy heavy cruiser that served in the Pacific during World War II, seeing significant action before being sunk in early 1943.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
United States Navy ship
ⓘ
iron-hulled steamship ⓘ warship ⓘ |
| armament | cannon ⓘ |
| builder | United States Navy ⓘ |
| builtAt | Erie, Pennsylvania ⓘ |
| category |
19th-century naval ship of the United States
ⓘ
Great Lakes warship ⓘ iron-hulled ships ⓘ steamships of the United States Navy ⓘ |
| commissioned | 1845 ⓘ |
| conflict | American Civil War ⓘ |
| country | United States of America ⓘ |
| crewType | United States Navy sailors ⓘ |
| decommissioned | 1912 ⓘ |
| designFeature |
side paddle wheels (early configuration, later altered)
ⓘ
single screw propeller ⓘ |
| displacementApprox | 685 tons ⓘ |
| era | 19th century ⓘ |
| fate | scrapped ⓘ |
| flag |
Flag of the United States
ⓘ
linked to:
United States flag
|
| homeport | Erie, Pennsylvania ⓘ |
| hullMaterial | iron ⓘ |
| inServiceUntil | early 20th century ⓘ |
| launched | 1843 ⓘ |
| lengthApprox | 53 meters ⓘ |
| namedAfter |
State of Michigan
ⓘ
linked to:
Michigan
|
| notableFor |
being one of the U.S. Navy’s earliest iron-hulled vessels
ⓘ
being one of the U.S. Navy’s earliest steam-powered warships ⓘ |
| operatingArea | Great Lakes ⓘ |
| operator | United States Navy ⓘ |
| powerType | coal-fired steam engine ⓘ |
| propulsion | steam-powered ⓘ |
| registration | U.S. Navy registry ⓘ |
| renamed | USS Wolverine ⓘ |
| renamedYear | 1905 ⓘ |
| roleDuringConflict | Union patrol and security vessel on the Great Lakes ⓘ |
| scrappedYear | 1949 ⓘ |
| serviceBranch | United States Navy ⓘ |
| shipType |
armed steamer
ⓘ
gunboat ⓘ |
| superstructure |
single funnel
ⓘ
single mast ⓘ |
| theaterOfOperations | Great Lakes ⓘ |
| usedFor |
law-enforcement support on the Great Lakes
ⓘ
patrol duties ⓘ protection of American interests on the Great Lakes ⓘ |
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: USS Michigan Description of subject: USS Michigan was a 19th-century United States Navy warship that served on the Great Lakes, notable as one of the Navy’s earliest iron-hulled steam-powered vessels.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.