Very Large Array
E428395
The Very Large Array is a world-renowned radio astronomy observatory in New Mexico composed of 27 large dish antennas arranged in a Y-shaped configuration to study celestial radio sources.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Very Large Array canonical | 8 |
How this entity was disambiguated
This entity first appeared as the object of triple T4294973 — 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: Very Large Array Context triple: [Socorro, New Mexico, isNear, Very Large Array]
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A.
Expanded Very Large Array
The Expanded Very Large Array is a major upgrade of the original radio telescope array in New Mexico, featuring enhanced sensitivity, bandwidth, and imaging capabilities for cutting-edge astronomical research.
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B.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
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C.
Very Long Baseline Array
The Very Long Baseline Array is a continent-spanning network of ten radio telescopes used for high-resolution astronomical observations through very long baseline interferometry.
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D.
Gigantic
"Gigantic" is an alternative rock song by the Pixies, notable for its prominent bassline and Kim Deal's lead vocals.
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E.
SparseArrays
SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Very Large Array Target entity description: The Very Large Array is a world-renowned radio astronomy observatory in New Mexico composed of 27 large dish antennas arranged in a Y-shaped configuration to study celestial radio sources.
-
A.
Expanded Very Large Array
The Expanded Very Large Array is a major upgrade of the original radio telescope array in New Mexico, featuring enhanced sensitivity, bandwidth, and imaging capabilities for cutting-edge astronomical research.
-
B.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
C.
Very Long Baseline Array
The Very Long Baseline Array is a continent-spanning network of ten radio telescopes used for high-resolution astronomical observations through very long baseline interferometry.
-
D.
Gigantic
"Gigantic" is an alternative rock song by the Pixies, notable for its prominent bassline and Kim Deal's lead vocals.
-
E.
SparseArrays
SparseArrays is a Julia standard library module that provides data structures and operations for efficiently working with sparse matrices and related linear algebra.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
astronomical observatory
ⓘ
interferometer ⓘ radio telescope array ⓘ |
| alsoKnownAs | Karl G. Jansky Very Large Array NERFINISHED ⓘ |
| altitude | about 2124 meters ⓘ |
| antennaDiameter | 25 meters ⓘ |
| arrayConfigurations |
A configuration
ⓘ
B configuration ⓘ C configuration ⓘ D configuration ⓘ |
| city | near Magdalena, New Mexico ⓘ |
| configurationShape | Y-shaped ⓘ |
| constructionStartDate | 1973 ⓘ |
| continent | North America ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataAccessPolicy | open to global scientific community after proprietary period ⓘ |
| featuredIn |
film "Contact"
NERFINISHED
ⓘ
various documentaries ⓘ |
| fundedBy | National Science Foundation NERFINISHED ⓘ |
| governingBody | National Science Foundation NERFINISHED ⓘ |
| hasComponent | 27 steerable parabolic dish antennas ⓘ |
| hasVisitorCenter | yes ⓘ |
| inaugurationDate | 1980 ⓘ |
| locatedIn |
New Mexico
ⓘ
Plains of San Agustin NERFINISHED ⓘ |
| maximumBaseline | about 36 kilometers ⓘ |
| minimumBaseline | about 1 kilometer ⓘ |
| mountType | altazimuth mount ⓘ |
| namedAfter | Karl G. Jansky NERFINISHED ⓘ |
| near | Socorro, New Mexico NERFINISHED ⓘ |
| numberOfAntennas | 27 ⓘ |
| observes | radio waves ⓘ |
| offers | public tours ⓘ |
| opened | 1980 ⓘ |
| operatedBy | National Radio Astronomy Observatory NERFINISHED ⓘ |
| ownedBy | National Science Foundation NERFINISHED ⓘ |
| partOf | U.S. National Radio Astronomy Observatory facilities NERFINISHED ⓘ |
| telescopeType | aperture synthesis array ⓘ |
| upgraded | 2001–2012 ⓘ |
| usedFor |
cosmology research
ⓘ
mapping neutral hydrogen ⓘ radio astronomy ⓘ study of galaxies ⓘ study of protoplanetary disks ⓘ study of pulsars ⓘ study of quasars ⓘ study of star formation ⓘ study of supernova remnants ⓘ |
| wavelengthRange | centimeter radio wavelengths ⓘ |
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: Very Large Array Description of subject: The Very Large Array is a world-renowned radio astronomy observatory in New Mexico composed of 27 large dish antennas arranged in a Y-shaped configuration to study celestial radio sources.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.