BASE collaboration
E761921
The BASE collaboration is an international research team focused on high-precision measurements of antimatter, particularly antiprotons, to test fundamental symmetries in physics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| BASE collaboration canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8832346 — 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: BASE collaboration Context triple: [BASE, operatedBy, BASE collaboration]
-
A.
Centre for Collaboration with Collaboration Networks
The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
-
B.
L3 Collaboration
L3 Collaboration is an international team of physicists and engineers that worked on the L3 experiment at CERN’s Large Electron–Positron Collider to study high-energy particle collisions.
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C.
Centre for Collaboration with Operations Networks
The Centre for Collaboration with Operations Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on coordinating and enhancing operational collaboration and information flow across health-related networks.
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D.
Centre for Collaboration with Partnership Networks
The Centre for Collaboration with Partnership Networks is a unit within the Norwegian Institute of Public Health that facilitates cooperation and knowledge exchange between the institute and external partners and networks.
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E.
Centre for Collaboration with Administrative Networks
The Centre for Collaboration with Administrative Networks is a specialized unit within Norway’s public health system that fosters cooperation and knowledge-sharing between the Norwegian Institute of Public Health and governmental administrative bodies.
- 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: BASE collaboration Target entity description: The BASE collaboration is an international research team focused on high-precision measurements of antimatter, particularly antiprotons, to test fundamental symmetries in physics.
-
A.
Centre for Collaboration with Collaboration Networks
The Centre for Collaboration with Collaboration Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on fostering and coordinating research and knowledge-sharing partnerships across public health networks.
-
B.
L3 Collaboration
L3 Collaboration is an international team of physicists and engineers that worked on the L3 experiment at CERN’s Large Electron–Positron Collider to study high-energy particle collisions.
-
C.
Centre for Collaboration with Operations Networks
The Centre for Collaboration with Operations Networks is a specialized unit within the Norwegian Institute of Public Health that focuses on coordinating and enhancing operational collaboration and information flow across health-related networks.
-
D.
Centre for Collaboration with Partnership Networks
The Centre for Collaboration with Partnership Networks is a unit within the Norwegian Institute of Public Health that facilitates cooperation and knowledge exchange between the institute and external partners and networks.
-
E.
Centre for Collaboration with Administrative Networks
The Centre for Collaboration with Administrative Networks is a specialized unit within Norway’s public health system that fosters cooperation and knowledge-sharing between the Norwegian Institute of Public Health and governmental administrative bodies.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
particle physics experiment collaboration
ⓘ
scientific research collaboration ⓘ |
| aim |
constrain physics beyond the Standard Model
ⓘ
improve precision of antiproton property measurements ⓘ test CPT invariance with baryons and antibaryons ⓘ |
| collaboratesWith | CERN Antiproton Decelerator facility NERFINISHED ⓘ |
| compares |
proton and antiproton charge-to-mass ratios
ⓘ
proton and antiproton magnetic moments ⓘ |
| conductsExperimentAt | Antiproton Decelerator at CERN NERFINISHED ⓘ |
| country | international ⓘ |
| dataType |
frequency ratio measurements
ⓘ
high-precision spectroscopic data ⓘ |
| field |
antimatter physics
ⓘ
fundamental symmetries ⓘ particle physics ⓘ |
| focusesOn |
baryonic antimatter
ⓘ
precision metrology of fundamental particles ⓘ |
| hasOutput |
peer-reviewed scientific publications
ⓘ
precision limits on CPT violation in the baryon sector ⓘ |
| hasParticipant |
Germany
NERFINISHED
ⓘ
Japan NERFINISHED ⓘ Switzerland NERFINISHED ⓘ other European institutions ⓘ |
| locatedAt | CERN NERFINISHED ⓘ |
| researchFocus |
comparison of proton and antiproton properties
ⓘ
high-precision measurement of the antiproton charge-to-mass ratio ⓘ high-precision measurement of the antiproton magnetic moment ⓘ high-precision measurements of antimatter ⓘ high-precision measurements of antiprotons ⓘ searches for matter–antimatter asymmetries ⓘ tests of CPT symmetry ⓘ tests of charge–parity–time reversal symmetry with baryons ⓘ |
| studies |
antiprotons
ⓘ
protons ⓘ |
| testsSymmetry |
CPT symmetry
ⓘ
Lorentz invariance ⓘ |
| testsTheory | Standard Model of particle physics NERFINISHED ⓘ |
| usesEnvironment |
cryogenic temperatures
ⓘ
ultra-high vacuum ⓘ |
| usesInstrument |
Penning trap
NERFINISHED
ⓘ
cryogenic Penning trap ⓘ |
| usesMethod |
high-precision frequency measurements
ⓘ
non-destructive detection of trapped particles ⓘ single-particle techniques ⓘ |
| usesTechnology |
radiofrequency detection systems
ⓘ
superconducting magnets ⓘ |
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: BASE collaboration Description of subject: The BASE collaboration is an international research team focused on high-precision measurements of antimatter, particularly antiprotons, to test fundamental symmetries in physics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.