LIGO–Virgo–KAGRA network
E730522
The LIGO–Virgo–KAGRA network is an international collaboration of ground-based gravitational-wave observatories that jointly detect and analyze ripples in spacetime from cosmic events like merging black holes and neutron stars.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LIGO–Virgo–KAGRA network canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8396798 — 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: LIGO–Virgo–KAGRA network Context triple: [Virgo Collaboration, partOf, LIGO–Virgo–KAGRA network]
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A.
KAGRA gravitational-wave detector
The KAGRA gravitational-wave detector is a large-scale underground interferometer in Japan that uses cryogenically cooled mirrors to detect ripples in spacetime from cosmic events.
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B.
LIGO Scientific Collaboration
The LIGO Scientific Collaboration is an international group of scientists and institutions that built and operate the LIGO detectors and made the first direct detection of gravitational waves, confirming a key prediction of Einstein’s general relativity.
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C.
LIGO (Laser Interferometer Gravitational-Wave Observatory)
LIGO (Laser Interferometer Gravitational-Wave Observatory) is a large-scale physics experiment and observatory designed to detect and study gravitational waves using highly sensitive laser interferometry.
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D.
International Pulsar Timing Array
The International Pulsar Timing Array is a global collaboration of radio observatories that precisely monitor millisecond pulsars to detect low-frequency gravitational waves and study fundamental physics.
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E.
Einstein Telescope Collaboration
The Einstein Telescope Collaboration is an international scientific consortium dedicated to designing and developing a next-generation underground gravitational-wave observatory in Europe.
- 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: LIGO–Virgo–KAGRA network Target entity description: The LIGO–Virgo–KAGRA network is an international collaboration of ground-based gravitational-wave observatories that jointly detect and analyze ripples in spacetime from cosmic events like merging black holes and neutron stars.
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A.
KAGRA gravitational-wave detector
The KAGRA gravitational-wave detector is a large-scale underground interferometer in Japan that uses cryogenically cooled mirrors to detect ripples in spacetime from cosmic events.
-
B.
LIGO Scientific Collaboration
The LIGO Scientific Collaboration is an international group of scientists and institutions that built and operate the LIGO detectors and made the first direct detection of gravitational waves, confirming a key prediction of Einstein’s general relativity.
-
C.
LIGO (Laser Interferometer Gravitational-Wave Observatory)
LIGO (Laser Interferometer Gravitational-Wave Observatory) is a large-scale physics experiment and observatory designed to detect and study gravitational waves using highly sensitive laser interferometry.
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D.
International Pulsar Timing Array
The International Pulsar Timing Array is a global collaboration of radio observatories that precisely monitor millisecond pulsars to detect low-frequency gravitational waves and study fundamental physics.
-
E.
Einstein Telescope Collaboration
The Einstein Telescope Collaboration is an international scientific consortium dedicated to designing and developing a next-generation underground gravitational-wave observatory in Europe.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
gravitational-wave observatory network
ⓘ
international research consortium ⓘ scientific collaboration ⓘ |
| aim |
detection of gravitational waves
ⓘ
improved localization of gravitational-wave sources ⓘ joint data analysis ⓘ multi-detector observation of cosmic events ⓘ multi-messenger astronomy ⓘ tests of general relativity ⓘ |
| analyzes | strain data from interferometers ⓘ |
| benefit |
better parameter estimation for sources
ⓘ
higher detection confidence ⓘ improved sky localization of sources ⓘ increased duty cycle for observations ⓘ |
| continent |
Asia
ⓘ
Europe ⓘ North America ⓘ |
| cooperatesWith |
electromagnetic observatories
ⓘ
gamma-ray telescopes ⓘ neutrino observatories ⓘ optical telescopes ⓘ |
| country |
Italy
ⓘ
Japan ⓘ United States of America ⓘ
surface form:
United States
|
| detects |
gravitational waves from binary black hole mergers
ⓘ
gravitational waves from binary neutron star mergers ⓘ gravitational waves from compact binary coalescences ⓘ gravitational waves from neutron star–black hole mergers ⓘ transient gravitational-wave signals ⓘ |
| field |
astrophysics
ⓘ
general relativity NERFINISHED ⓘ gravitational-wave astronomy ⓘ |
| hasPart |
KAGRA interferometer
NERFINISHED
ⓘ
LIGO Hanford Observatory NERFINISHED ⓘ LIGO Livingston Observatory NERFINISHED ⓘ Virgo interferometer NERFINISHED ⓘ |
| member |
KAGRA Collaboration
NERFINISHED
ⓘ
LIGO Scientific Collaboration NERFINISHED ⓘ Virgo Collaboration NERFINISHED ⓘ |
| objective |
calibration consistency across detectors
ⓘ
coordinated observing runs ⓘ creation of joint gravitational-wave catalogs ⓘ public release of gravitational-wave event alerts ⓘ |
| uses | ground-based interferometric detectors ⓘ |
| usesMethod |
Bayesian parameter estimation
ⓘ
coherent network analysis ⓘ matched filtering ⓘ time–frequency analysis ⓘ |
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: LIGO–Virgo–KAGRA network Description of subject: The LIGO–Virgo–KAGRA network is an international collaboration of ground-based gravitational-wave observatories that jointly detect and analyze ripples in spacetime from cosmic events like merging black holes and neutron stars.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.