DUNE
E373840
DUNE is a next-generation international neutrino physics experiment designed to study neutrino oscillations, proton decay, and supernova neutrinos using massive liquid argon detectors deep underground.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DUNE canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3616195 — 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: DUNE Context triple: [DUNE experiment, acronym, DUNE]
-
A.
Dune (2021 film)
Dune (2021 film) is a 2021 epic science fiction movie directed by Denis Villeneuve, adapting the first half of Frank Herbert’s classic novel and acclaimed for its expansive world-building, visuals, and score.
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B.
Dune: Part Two
Dune: Part Two is a 2024 epic science fiction film directed by Denis Villeneuve, continuing the adaptation of Frank Herbert’s novel with a focus on Paul Atreides’ rise among the Fremen and his struggle against House Harkonnen.
-
C.
Dune film series
The Dune film series is a modern science fiction saga adapting Frank Herbert’s classic novels, directed by Denis Villeneuve and noted for its epic scale, dense world-building, and visually striking depiction of the desert planet Arrakis.
-
D.
Dune (1984 film)
Dune (1984 film) is a science fiction movie directed by David Lynch, adapting Frank Herbert’s novel into a visually ambitious but critically divisive epic.
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E.
Dune: Messiah (planned film)
Dune: Messiah (planned film) is a forthcoming cinematic adaptation of Frank Herbert’s novel "Dune Messiah," intended to continue Denis Villeneuve’s epic science-fiction saga following the events of Dune: Part Two.
- 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: DUNE Target entity description: DUNE is a next-generation international neutrino physics experiment designed to study neutrino oscillations, proton decay, and supernova neutrinos using massive liquid argon detectors deep underground.
-
A.
Dune (2021 film)
Dune (2021 film) is a 2021 epic science fiction movie directed by Denis Villeneuve, adapting the first half of Frank Herbert’s classic novel and acclaimed for its expansive world-building, visuals, and score.
-
B.
Dune: Part Two
Dune: Part Two is a 2024 epic science fiction film directed by Denis Villeneuve, continuing the adaptation of Frank Herbert’s novel with a focus on Paul Atreides’ rise among the Fremen and his struggle against House Harkonnen.
-
C.
Dune film series
The Dune film series is a modern science fiction saga adapting Frank Herbert’s classic novels, directed by Denis Villeneuve and noted for its epic scale, dense world-building, and visually striking depiction of the desert planet Arrakis.
-
D.
Dune (1984 film)
Dune (1984 film) is a science fiction movie directed by David Lynch, adapting Frank Herbert’s novel into a visually ambitious but critically divisive epic.
-
E.
Dune: Messiah (planned film)
Dune: Messiah (planned film) is a forthcoming cinematic adaptation of Frank Herbert’s novel "Dune Messiah," intended to continue Denis Villeneuve’s epic science-fiction saga following the events of Dune: Part Two.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
long-baseline neutrino experiment
ⓘ
neutrino experiment ⓘ particle physics experiment ⓘ |
| acronym | DUNE self-link ⓘ |
| associatedFacility |
LBNF neutrino beamline
ⓘ
surface form:
Long-Baseline Neutrino Facility
|
| baselineLength | approximately 1300 kilometers ⓘ |
| beamType | high-intensity neutrino beam ⓘ |
| collaborationStart | 2010s ⓘ |
| collaborationType | international collaboration ⓘ |
| dataTakingPlanned | mid-2020s ⓘ |
| depth | approximately 1.5 kilometers underground ⓘ |
| designFeature |
deep underground shielding from cosmic rays
ⓘ
high-resolution 3D imaging of neutrino interactions ⓘ modular far detector modules ⓘ |
| detectorMass | 40 kilotons of liquid argon (far detector design scale) ⓘ |
| detectorType | liquid argon detector ⓘ |
| farDetectorLocation | Sanford Underground Research Facility ⓘ |
| field |
neutrino physics
ⓘ
particle physics ⓘ |
| fullName |
LBNE experiment
ⓘ
surface form:
Deep Underground Neutrino Experiment
|
| goal |
detect neutrinos from core-collapse supernovae
ⓘ
determine the neutrino mass hierarchy ⓘ search for physics beyond the Standard Model ⓘ search for proton decay ⓘ study atmospheric neutrinos ⓘ |
| hostLaboratory | Fermi National Accelerator Laboratory ⓘ |
| locatedIn |
Lead, South Dakota
ⓘ
United States of America ⓘ
surface form:
United States
|
| location | Sanford Underground Research Facility ⓘ |
| nearBeamSourceLocatedIn | Batavia, Illinois ⓘ |
| nearBeamSourceLocation |
Fermi National Accelerator Laboratory
ⓘ
surface form:
Fermilab
|
| nearDetectorLocation |
Fermi National Accelerator Laboratory
ⓘ
surface form:
Fermilab site
|
| neutrinoSource |
LBNF neutrino beamline
ⓘ
surface form:
Fermilab Long-Baseline Neutrino Facility
|
| numberOfCountries | over 30 countries ⓘ |
| numberOfInstitutions | over 200 institutions ⓘ |
| primaryGoal |
precision measurement of neutrino oscillation parameters
ⓘ
search for CP violation in neutrino oscillations ⓘ |
| researchArea |
CP violation in the lepton sector
ⓘ
astroparticle physics ⓘ neutrino mass ordering ⓘ neutrino oscillations ⓘ proton decay ⓘ supernova neutrinos ⓘ |
| sensitivity |
CP violation in the lepton sector
ⓘ
neutrino mass ordering ⓘ |
| sponsor | U.S. Department of Energy ⓘ |
| status | under construction ⓘ |
| usesDetectorTechnology | liquid argon time projection chamber ⓘ |
| website | https://www.dunescience.org/ ⓘ |
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: DUNE Description of subject: DUNE is a next-generation international neutrino physics experiment designed to study neutrino oscillations, proton decay, and supernova neutrinos using massive liquid argon detectors deep underground.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.