Kurs-NA
E1044070
Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kurs-NA canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13528760 — 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: Kurs-NA Context triple: [Kurs automatic docking system, hasVersion, Kurs-NA]
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A.
NAIT
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
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B.
NAU
NAU is the commonly used abbreviation for Nanjing Agricultural University, a major Chinese institution specializing in agricultural and life sciences education and research.
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C.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
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D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
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E.
.na
.na is the country code top-level domain (ccTLD) assigned to Namibia for use in its internet addresses.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Kurs-NA Target entity description: Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
-
A.
NAIT
NAIT is a leading Canadian polytechnic and applied research institute in Edmonton, Alberta, offering career-focused technical, trades, and business programs.
-
B.
NAU
NAU is the commonly used abbreviation for Nanjing Agricultural University, a major Chinese institution specializing in agricultural and life sciences education and research.
-
C.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
.na
.na is the country code top-level domain (ccTLD) assigned to Namibia for use in its internet addresses.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
spacecraft docking system
ⓘ
spacecraft guidance system ⓘ |
| appliesTo |
Progress spacecraft
NERFINISHED
ⓘ
Soyuz spacecraft NERFINISHED ⓘ visiting vehicles to space stations ⓘ |
| basedOn | Kurs docking system NERFINISHED ⓘ |
| category |
space avionics
ⓘ
spacecraft subsystem ⓘ |
| controls | relative motion between spacecraft and space station ⓘ |
| countryOfOrigin | Russia ⓘ |
| designedFor | low Earth orbit operations ⓘ |
| developedIn | 21st century ⓘ |
| domain |
orbital rendezvous
ⓘ
spacecraft docking ⓘ |
| feature |
digital electronics
ⓘ
enhanced rendezvous accuracy ⓘ improved reliability ⓘ modernized radio equipment ⓘ reduced mass ⓘ reduced power consumption ⓘ |
| hasAbbreviationMeaning | "NA" denotes new, digital modification of Kurs system ⓘ |
| improvesUpon |
Kurs-A fault tolerance
ⓘ
Kurs-A mass characteristics ⓘ Kurs-A power efficiency ⓘ |
| languageOfInterface | Russian ⓘ |
| manufacturer | RSC Energia NERFINISHED ⓘ |
| missionRole |
approach guidance
ⓘ
final docking alignment ⓘ range and range-rate measurement ⓘ |
| operator | Roscosmos NERFINISHED ⓘ |
| partOf | Russian human spaceflight program ⓘ |
| replaces | analog Kurs-A system ⓘ |
| status | operational ⓘ |
| succeeds | Kurs-A ⓘ |
| supports |
automatic docking mode
ⓘ
backup manual docking via TORU system ⓘ |
| use |
automatic rendezvous and docking
ⓘ
spacecraft navigation ⓘ |
| usedFor |
crewed transport missions
ⓘ
uncrewed cargo missions ⓘ |
| usedOn |
International Space Station
NERFINISHED
ⓘ
Russian Orbital Segment NERFINISHED ⓘ |
| uses |
antenna arrays
ⓘ
onboard digital computer ⓘ radio-frequency sensors ⓘ |
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: Kurs-NA Description of subject: Kurs-NA is a modernized, digital version of the Russian Kurs spacecraft automatic docking system used to guide and dock visiting vehicles to space stations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.