S 222
E590796
S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
All labels observed (1)
| Label | Occurrences |
|---|---|
| S 222 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6392545 — 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: S 222 Context triple: [NOAA Ship Thomas Jefferson, hullNumber, S 222]
-
A.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
B.
S2
S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
-
C.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
D.
S2
S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
-
E.
D22
D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
- 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: S 222 Target entity description: S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
-
A.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
B.
S2
S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
-
C.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
D.
S2
S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
-
E.
D22
D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
ship hull number
ⓘ
vessel identifier ⓘ |
| administeredBy | NOAA Office of Coast Survey ⓘ |
| areaOfOperation |
Atlantic Ocean
ⓘ
Gulf of Mexico ⓘ U.S. coastal waters ⓘ |
| assignedTo | NOAA Ship Thomas Jefferson ⓘ |
| associatedOrganization |
NOAA
ⓘ
U.S. Department of Commerce ⓘ |
| associatedVesselName | NOAA Ship Thomas Jefferson ⓘ |
| callsignType | hull number ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| operator |
NOAA Office of Marine and Aviation Operations
ⓘ
linked to:
Office of Marine and Aviation Operations
National Oceanic and Atmospheric Administration ⓘ |
| primaryUse |
hydrographic surveying
ⓘ
seafloor mapping ⓘ |
| relatedField |
hydrography
ⓘ
marine cartography ⓘ ocean mapping ⓘ |
| serviceBranch |
NOAA Fleet
ⓘ
linked to:
NOAA fleet
|
| status | active (NOAA fleet) ⓘ |
| usedFor |
bathymetric data collection
ⓘ
coastal mapping ⓘ marine navigation safety ⓘ nautical charting support ⓘ oceanographic research support ⓘ |
| vesselType | hydrographic survey ship ⓘ |
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: S 222 Description of subject: S 222 is the hull number of NOAA Ship Thomas Jefferson, a National Oceanic and Atmospheric Administration vessel used primarily for hydrographic surveying and seafloor mapping.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.