ULF1.1
E768273
ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ULF1.1 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8948595 — 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: ULF1.1 Context triple: [STS-121, issAssemblyFlight, ULF1.1]
-
A.
LUF
LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
-
B.
U1
U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
-
C.
U1
U1 is one of Berlin’s oldest and most central U-Bahn lines, running predominantly east–west through inner-city districts and serving key cultural and nightlife areas.
-
D.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
E.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
- 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: ULF1.1 Target entity description: ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
-
A.
LUF
LUF is the IATA airport code for Luke Air Force Base, a major United States Air Force training installation in Arizona.
-
B.
U1
U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
-
C.
U1
U1 is one of Berlin’s oldest and most central U-Bahn lines, running predominantly east–west through inner-city districts and serving key cultural and nightlife areas.
-
D.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
E.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
ISS assembly and resupply mission designation
ⓘ
International Space Station mission designation ⓘ |
| associatedWith |
International Space Station
NERFINISHED
ⓘ
STS-121 NERFINISHED ⓘ Space Shuttle Discovery NERFINISHED ⓘ |
| cargoType |
ISS supplies and equipment
ⓘ
pressurized cargo ⓘ unpressurized cargo ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| destination | International Space Station NERFINISHED ⓘ |
| issAssemblySequence | ULF series ⓘ |
| issAssemblySequencePosition | ULF1.1 segment ⓘ |
| launchVehicle | Space Shuttle Discovery NERFINISHED ⓘ |
| missionContext | post-Columbia Space Shuttle return-to-flight phase ⓘ |
| missionPurpose |
resupply of the International Space Station
ⓘ
support of ISS assembly sequence ⓘ |
| missionRole |
ISS assembly flight
ⓘ
ISS logistics flight ⓘ |
| missionType | assembly and resupply mission ⓘ |
| nasaDesignation | ULF1.1 ⓘ |
| operatedBy | NASA Space Shuttle program NERFINISHED ⓘ |
| orbit | Low Earth orbit NERFINISHED ⓘ |
| program |
NASA Space Shuttle program
ⓘ
surface form:
Space Shuttle program
|
| relatedShuttleFlight | STS-121 GENERATED ⓘ |
| relatedVehicle | Orbiter Discovery (OV-103) NERFINISHED ⓘ |
| spaceAgency | NASA ⓘ |
| spacecraft | Space Shuttle Discovery NERFINISHED ⓘ |
| targetProgram | International Space Station program NERFINISHED ⓘ |
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: ULF1.1 Description of subject: ULF1.1 was the ISS assembly and resupply mission designation associated with Space Shuttle Discovery’s STS-121 flight to the International Space Station.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.