CRESST
E588248
CRESST is a dark matter search experiment that uses cryogenic detectors to look for rare interactions of weakly interacting massive particles (WIMPs) in an underground laboratory.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CRESST canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6366616 — 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: CRESST Context triple: [Gran Sasso National Laboratory, hostsExperiment, CRESST]
-
A.
National Center for Restructuring Education, Schools, and Teaching (NCREST)
The National Center for Restructuring Education, Schools, and Teaching (NCREST) is a research and development organization that studies and supports innovative school reform and teaching practices to improve educational outcomes.
-
B.
Centre for Educational Measurement (CEMO)
The Centre for Educational Measurement (CEMO) is a research centre at the University of Oslo specializing in educational assessment, psychometrics, and the analysis of large-scale educational data.
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C.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
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D.
California Assessment of Student Performance and Progress
The California Assessment of Student Performance and Progress (CAASPP) is California’s statewide standardized testing program that measures students’ mastery of academic standards in core subjects like English language arts and mathematics.
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E.
MIT/CRE
MIT/CRE is the MIT Center for Real Estate, a leading academic hub for research and education in real estate finance, development, and innovation.
- 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: CRESST Target entity description: CRESST is a dark matter search experiment that uses cryogenic detectors to look for rare interactions of weakly interacting massive particles (WIMPs) in an underground laboratory.
-
A.
National Center for Restructuring Education, Schools, and Teaching (NCREST)
The National Center for Restructuring Education, Schools, and Teaching (NCREST) is a research and development organization that studies and supports innovative school reform and teaching practices to improve educational outcomes.
-
B.
Centre for Educational Measurement (CEMO)
The Centre for Educational Measurement (CEMO) is a research centre at the University of Oslo specializing in educational assessment, psychometrics, and the analysis of large-scale educational data.
-
C.
CREST
CREST is the UK’s central securities depository and electronic settlement system used to hold and settle trades in shares and other securities.
-
D.
California Assessment of Student Performance and Progress
The California Assessment of Student Performance and Progress (CAASPP) is California’s statewide standardized testing program that measures students’ mastery of academic standards in core subjects like English language arts and mathematics.
-
E.
MIT/CRE
MIT/CRE is the MIT Center for Real Estate, a leading academic hub for research and education in real estate finance, development, and innovation.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
cryogenic rare event search experiment
ⓘ
dark matter search experiment ⓘ |
| abbreviationFor | Cryogenic Rare Event Search with Superconducting Thermometers NERFINISHED ⓘ |
| aimsTo |
detect nuclear recoils from WIMP interactions
ⓘ
probe dark matter-nucleon scattering cross sections ⓘ |
| backgroundReductionMethod |
active veto systems
ⓘ
deep underground shielding ⓘ passive shielding ⓘ |
| canProbe | low-mass dark matter parameter space ⓘ |
| collaborationIncludes |
INFN groups
ⓘ
Max Planck Institute for Physics NERFINISHED ⓘ Technical University of Munich NERFINISHED ⓘ |
| collaborationType | international scientific collaboration ⓘ |
| dataAnalysisFocus |
identification of nuclear recoil events
ⓘ
rejection of electron recoil backgrounds ⓘ |
| dataTakingMode | rare event search ⓘ |
| discriminatesEventsBy | simultaneous phonon and light readout ⓘ |
| field |
astroparticle physics
ⓘ
cosmology ⓘ particle physics ⓘ |
| fullName | Cryogenic Rare Event Search with Superconducting Thermometers NERFINISHED ⓘ |
| hostLaboratory | INFN Gran Sasso National Laboratory NERFINISHED ⓘ |
| locatedIn |
Gran Sasso National Laboratory
NERFINISHED
ⓘ
LNGS NERFINISHED ⓘ |
| locatedInCountry | Italy ⓘ |
| measures |
phonon signals
ⓘ
scintillation light ⓘ |
| operatesIn | underground laboratory ⓘ |
| relatedExperiment |
CDMS
NERFINISHED
ⓘ
EDELWEISS NERFINISHED ⓘ LUX NERFINISHED ⓘ XENON NERFINISHED ⓘ |
| relatedTo | other dark matter experiments ⓘ |
| researchFocus | direct detection of dark matter ⓘ |
| searchesFor | weakly interacting massive particles ⓘ |
| searchType | direct dark matter detection ⓘ |
| studies | rare nuclear recoils from dark matter interactions ⓘ |
| successorExperiment |
CRESST-II
NERFINISHED
ⓘ
CRESST-III NERFINISHED ⓘ |
| targets | elastic scattering of WIMPs off nuclei ⓘ |
| uses |
low-background materials
ⓘ
radiopure detector components ⓘ |
| usesDetectionMedium |
calcium tungstate crystals
ⓘ
scintillating crystals ⓘ |
| usesDetectorType | cryogenic detectors ⓘ |
| usesOperatingTemperature | millikelvin temperatures ⓘ |
| usesReadout | cryogenic calorimetry ⓘ |
| usesTechnology |
superconducting thermometers
ⓘ
transition edge sensors ⓘ |
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: CRESST Description of subject: CRESST is a dark matter search experiment that uses cryogenic detectors to look for rare interactions of weakly interacting massive particles (WIMPs) in an underground laboratory.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.