R 104
E559121
R 104 is the hull identification number assigned to the NOAA research vessel Ronald H. Brown, a major U.S. oceanographic and atmospheric research ship.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R 104 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5961671 — 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.
Target entity: R 104 Context triple: [NOAA Ship Ronald H. Brown, hullNumber, R 104]
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A.
R107
R107 is the long-running second generation of the Mercedes-Benz SL roadster, produced from the early 1970s to late 1980s and renowned for its durability, safety, and classic styling.
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B.
R103
R103 is a regional road in South Africa that serves as an alternative route to the N3, connecting towns such as Ladysmith along the KwaZulu-Natal corridor.
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C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
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D.
RN104
RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
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E.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: R 104 Target entity description: R 104 is the hull identification number assigned to the NOAA research vessel Ronald H. Brown, a major U.S. oceanographic and atmospheric research ship.
-
A.
R107
R107 is the long-running second generation of the Mercedes-Benz SL roadster, produced from the early 1970s to late 1980s and renowned for its durability, safety, and classic styling.
-
B.
R103
R103 is a regional road in South Africa that serves as an alternative route to the N3, connecting towns such as Ladysmith along the KwaZulu-Natal corridor.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
RN104
RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
-
E.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
research vessel
ⓘ
ship hull identification number ⓘ vessel identifier ⓘ |
| assignedTo | NOAA Ship Ronald H. Brown NERFINISHED ⓘ |
| associatedWith |
U.S. federal research missions
ⓘ
atmospheric research ⓘ oceanographic research ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
United States of America ⓘ
surface form:
United States
|
| fleet |
NOAA research fleet
NERFINISHED
ⓘ
NOAA research fleet ⓘ |
| hullNumber | R 104 ⓘ |
| identifierScope | NOAA fleet internal hull numbering system ⓘ |
| identifierType | hull identification number ⓘ |
| identifies | NOAA Ship Ronald H. Brown NERFINISHED ⓘ |
| language | en ⓘ |
| operator |
National Oceanic and Atmospheric Administration
NERFINISHED
ⓘ
National Oceanic and Atmospheric Administration NERFINISHED ⓘ |
| organization | NOAA Office of Marine and Aviation Operations NERFINISHED ⓘ |
| usedBy |
NOAA
NERFINISHED
ⓘ
NOAA Office of Marine and Aviation Operations NERFINISHED ⓘ |
| usedFor |
administrative tracking of NOAA Ship Ronald H. Brown
ⓘ
identification of NOAA Ship Ronald H. Brown in NOAA fleet records ⓘ |
| vesselName | Ronald H. Brown NERFINISHED ⓘ |
| vesselRoleIdentified | NOAA research ship NERFINISHED ⓘ |
| vesselTypeIdentified |
atmospheric research vessel
ⓘ
oceanographic research vessel ⓘ |
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.
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.
Subject: R 104 Description of subject: R 104 is the hull identification number assigned to the NOAA research vessel Ronald H. Brown, a major U.S. oceanographic and atmospheric research ship.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.