NOAA Ship Reuben Lasker
E148388
NOAA Ship Reuben Lasker is a state-of-the-art National Oceanic and Atmospheric Administration fisheries survey vessel used primarily for studying marine ecosystems and managing fishery resources along the U.S. West Coast.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NOAA Ship Reuben Lasker canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1137078 — 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: NOAA Ship Reuben Lasker Context triple: [NOAA fleet, hasComponent, NOAA Ship Reuben Lasker]
-
A.
NOAA Ship Ferdinand R. Hassler
NOAA Ship Ferdinand R. Hassler is a National Oceanic and Atmospheric Administration hydrographic survey vessel used primarily for mapping and charting the seafloor to support safe navigation.
-
B.
NOAA Ship Ronald H. Brown
NOAA Ship Ronald H. Brown is a large, state-of-the-art oceanographic and atmospheric research vessel operated by the National Oceanic and Atmospheric Administration (NOAA).
-
C.
NOAA Ship Gordon Gunter
NOAA Ship Gordon Gunter is an oceanographic and fisheries research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems and support resource management in the Atlantic Ocean and Gulf of Mexico.
-
D.
NOAA Ship Nancy Foster
NOAA Ship Nancy Foster is an oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) that supports coastal and marine ecosystem studies, habitat mapping, and environmental monitoring.
-
E.
NOAA Ship Oscar Dyson
NOAA Ship Oscar Dyson is a modern fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems, fish stocks, and ocean conditions, primarily in Alaskan waters.
- 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: NOAA Ship Reuben Lasker Target entity description: NOAA Ship Reuben Lasker is a state-of-the-art National Oceanic and Atmospheric Administration fisheries survey vessel used primarily for studying marine ecosystems and managing fishery resources along the U.S. West Coast.
-
A.
NOAA Ship Ferdinand R. Hassler
NOAA Ship Ferdinand R. Hassler is a National Oceanic and Atmospheric Administration hydrographic survey vessel used primarily for mapping and charting the seafloor to support safe navigation.
-
B.
NOAA Ship Ronald H. Brown
NOAA Ship Ronald H. Brown is a large, state-of-the-art oceanographic and atmospheric research vessel operated by the National Oceanic and Atmospheric Administration (NOAA).
-
C.
NOAA Ship Gordon Gunter
NOAA Ship Gordon Gunter is an oceanographic and fisheries research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems and support resource management in the Atlantic Ocean and Gulf of Mexico.
-
D.
NOAA Ship Nancy Foster
NOAA Ship Nancy Foster is an oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) that supports coastal and marine ecosystem studies, habitat mapping, and environmental monitoring.
-
E.
NOAA Ship Oscar Dyson
NOAA Ship Oscar Dyson is a modern fisheries and oceanographic research vessel operated by the National Oceanic and Atmospheric Administration (NOAA) to study marine ecosystems, fish stocks, and ocean conditions, primarily in Alaskan waters.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
fisheries survey vessel
ⓘ
oceanographic research vessel ⓘ |
| assignedTo | NOAA Southwest Fisheries Science Center ⓘ |
| beam |
15 metres
ⓘ
49 feet ⓘ |
| builder | Marinette Marine Corporation ⓘ |
| builderLocation | Marinette, Wisconsin ⓘ |
| callsign | WTEF ⓘ |
| commissioningDate | 2014 ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| crewCapacity | about 24 crew ⓘ |
| displacement | approximately 2,500 tons ⓘ |
| endurance | about 40 days at sea ⓘ |
| equipment |
CTD rosette system
ⓘ
midwater trawl gear ⓘ multi-frequency scientific echosounders ⓘ multibeam sonar ⓘ stern trawl gear ⓘ wet and dry laboratories ⓘ winches and cranes for oceanographic operations ⓘ |
| hasHelideck | no ⓘ |
| homeport |
San Diego, California, United States
ⓘ
surface form:
San Diego, California
|
| hullDesignFeature | low acoustic signature ⓘ |
| IMONumber | 9639098 ⓘ |
| launchDate | 2012 ⓘ |
| lengthOverall |
208 feet
ⓘ
63.4 metres ⓘ |
| maximumSpeed | about 12 knots ⓘ |
| MMSINumber | 369932000 ⓘ |
| namedAfter | Reuben Lasker ⓘ |
| namesakeOccupation | fisheries biologist ⓘ |
| operator |
National Marine Fisheries Service
ⓘ
surface form:
NOAA Fisheries
National Oceanic and Atmospheric Administration ⓘ |
| partOf | NOAA fleet ⓘ |
| primaryAreaOfOperation |
California Current
ⓘ
surface form:
California Current ecosystem
U.S. West Coast ⓘ |
| primaryMission |
fisheries surveys
ⓘ
marine ecosystem research ⓘ |
| propulsionType | diesel-electric ⓘ |
| scientistBerths | about 15 scientists ⓘ |
| specialDesignFor | acoustic fisheries surveys ⓘ |
| status | active ⓘ |
| supportsResearchOn |
fishery resources management
ⓘ
marine mammals ⓘ oceanographic conditions ⓘ seabirds ⓘ |
| typicalSurveys |
coastal pelagic species surveys
ⓘ
egg and larval fish surveys ⓘ groundfish surveys ⓘ |
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: NOAA Ship Reuben Lasker Description of subject: NOAA Ship Reuben Lasker is a state-of-the-art National Oceanic and Atmospheric Administration fisheries survey vessel used primarily for studying marine ecosystems and managing fishery resources along the U.S. West Coast.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.