ArgoNeuT
E373837
ArgoNeuT is a liquid argon time projection chamber neutrino detector used to study neutrino interactions in a high-intensity accelerator beam.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ArgoNeuT canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3616109 — 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: ArgoNeuT Context triple: [NuMI beamline, servesExperiment, ArgoNeuT]
-
A.
ARO
ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
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B.
Agnontas
Agnontas is a small coastal village and port on the Greek island of Skopelos, known for its scenic bay and seaside tavernas.
-
C.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
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D.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
-
E.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
- 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: ArgoNeuT Target entity description: ArgoNeuT is a liquid argon time projection chamber neutrino detector used to study neutrino interactions in a high-intensity accelerator beam.
-
A.
ARO
ARO is the U.S. Army Research Office, a primary Army organization that funds and manages basic scientific research to support future military technologies and capabilities.
-
B.
Agnontas
Agnontas is a small coastal village and port on the Greek island of Skopelos, known for its scenic bay and seaside tavernas.
-
C.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
-
D.
Nafe
Nafe is an indigenous Oceanic language spoken in Vanuatu.
-
E.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
liquid argon time projection chamber
ⓘ
neutrino detector ⓘ particle physics experiment ⓘ |
| collaborationIncludes |
European institutions
ⓘ
US institutions ⓘ |
| contributesTo | design of future long-baseline neutrino experiments ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| dataTakingPeriod |
2009
ⓘ
2010 ⓘ |
| detects |
antineutrinos
ⓘ
muon neutrinos ⓘ |
| field |
experimental particle physics
ⓘ
neutrino physics ⓘ |
| hasAbbreviationMeaning | Argon Neutrino Teststand ⓘ |
| hasActiveVolume | approximately 170 liters ⓘ |
| hasDriftDirection | horizontal ⓘ |
| hasMedium | liquid argon ⓘ |
| hasNumberOfWirePlanes | 2 ⓘ |
| hasPublicationType | physics cross-section measurements ⓘ |
| hasReadout |
time projection readout
ⓘ
wire readout ⓘ |
| hasWireAngle |
collection plane wires at -60 degrees
ⓘ
induction plane wires at +60 degrees ⓘ |
| hasWirePlaneType |
collection plane
ⓘ
induction plane ⓘ |
| hostLaboratory | Fermi National Accelerator Laboratory ⓘ |
| locatedAt |
Fermilab
ⓘ
linked to:
Fermi National Accelerator Laboratory
|
| locatedInBeamline | NuMI beamline ⓘ |
| locatedNear |
MINOS near detector
ⓘ
linked to:
MINOS
|
| measures | muon kinematics with MINOS ⓘ |
| operatedBy |
Fermilab
ⓘ
linked to:
Fermi National Accelerator Laboratory
|
| physicsGoal |
develop liquid argon TPC reconstruction techniques
ⓘ
provide input for future liquid argon neutrino detectors ⓘ study low-energy neutrino interactions ⓘ |
| predecessorOf | MicroBooNE ⓘ |
| primaryPhysicsGoal | measure neutrino cross sections on argon ⓘ |
| relatedToExperiment | MINOS ⓘ |
| studies |
charged-current neutrino interactions
ⓘ
neutral-current neutrino interactions ⓘ neutrino interactions ⓘ neutrino–argon interactions ⓘ |
| tests | liquid argon TPC technology in a neutrino beam ⓘ |
| usesBeamType | high-intensity accelerator neutrino beam ⓘ |
| usesDetectorTechnology | liquid argon time projection chamber ⓘ |
| usesDownstreamDetector |
MINOS near detector
ⓘ
linked to:
MINOS
|
| usesTargetMaterial | liquid argon ⓘ |
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: ArgoNeuT Description of subject: ArgoNeuT is a liquid argon time projection chamber neutrino detector used to study neutrino interactions in a high-intensity accelerator beam.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.