Mir space station
E110028
Mir was a Soviet and later Russian modular space station that served as a long-term microgravity research laboratory in low Earth orbit from 1986 to 2001.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Mir space station canonical | 36 |
| Mir space station program | 3 |
| Mir space station core module | 1 |
| Mir space station expeditions | 1 |
| Mir space station hardware | 1 |
| Mir space station modules | 1 |
| Mir space station replica | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T928450 — 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: Mir space station Context triple: [Space Shuttle Discovery, visitedDestination, Mir space station]
-
A.
Mission: SPACE
Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
-
B.
Tiangong space station
The Tiangong space station is China’s modular, permanently crewed orbital outpost that serves as the centerpiece of its independent human spaceflight and research program in low Earth orbit.
-
C.
Kosmos
Kosmos is Alexander von Humboldt’s multi-volume work that presents a comprehensive scientific and philosophical overview of the natural world and the universe.
-
D.
Le Shuttle
Le Shuttle is a vehicle-carrying rail service that transports cars, trucks, and passengers through the Channel Tunnel between the United Kingdom and France.
-
E.
Dragon spacecraft
The Dragon spacecraft is SpaceX’s reusable cargo and crew capsule designed to transport supplies and astronauts between Earth and the International Space Station and other orbital destinations.
- 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: Mir space station Target entity description: Mir was a Soviet and later Russian modular space station that served as a long-term microgravity research laboratory in low Earth orbit from 1986 to 2001.
-
A.
Mission: SPACE
Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
-
B.
Tiangong space station
The Tiangong space station is China’s modular, permanently crewed orbital outpost that serves as the centerpiece of its independent human spaceflight and research program in low Earth orbit.
-
C.
Kosmos
Kosmos is Alexander von Humboldt’s multi-volume work that presents a comprehensive scientific and philosophical overview of the natural world and the universe.
-
D.
Le Shuttle
Le Shuttle is a vehicle-carrying rail service that transports cars, trucks, and passengers through the Channel Tunnel between the United Kingdom and France.
-
E.
Dragon spacecraft
The Dragon spacecraft is SpaceX’s reusable cargo and crew capsule designed to transport supplies and astronauts between Earth and the International Space Station and other orbital destinations.
- F. None of above. chosen
Statements (73)
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: Mir space station Description of subject: Mir was a Soviet and later Russian modular space station that served as a long-term microgravity research laboratory in low Earth orbit from 1986 to 2001.
Referenced by (44)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Mir space station
linked to: Mir space station
linked to: Mir space station
linked to: Mir space station
linked to: Mir space station
linked to: Mir space station
linked to: Mir space station
linked to: Mir space station