ALEPH
E127241
ALEPH was a major particle physics detector experiment at CERN’s Large Electron–Positron Collider (LEP), designed to study high-energy electron–positron collisions and precisely test the Standard Model.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ALEPH canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T1096156 — 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: ALEPH Context triple: [LEP, hostedExperiment, ALEPH]
-
A.
Aleph
Aleph is a spiritual and autobiographical novel by Brazilian author Paulo Coelho that explores themes of faith, destiny, and personal transformation through a journey across Russia.
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B.
Aleph
Aleph is the first letter of the Hebrew alphabet, traditionally associated with the numerical value one and often symbolizing unity or the divine in Jewish mysticism and tradition.
-
C.
Alif
Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
-
D.
Dalet
Dalet is the fourth letter of the Hebrew alphabet, corresponding to the "d" sound and often associated with the numerical value four in Hebrew numerology.
-
E.
Gimel
Gimel is the third letter of the Hebrew alphabet, traditionally associated with the "g" sound and rich symbolic meanings in Jewish mysticism and tradition.
- 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: ALEPH Target entity description: ALEPH was a major particle physics detector experiment at CERN’s Large Electron–Positron Collider (LEP), designed to study high-energy electron–positron collisions and precisely test the Standard Model.
-
A.
Aleph
Aleph is a spiritual and autobiographical novel by Brazilian author Paulo Coelho that explores themes of faith, destiny, and personal transformation through a journey across Russia.
-
B.
Aleph
Aleph is the first letter of the Hebrew alphabet, traditionally associated with the numerical value one and often symbolizing unity or the divine in Jewish mysticism and tradition.
-
C.
Alif
Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
-
D.
Dalet
Dalet is the fourth letter of the Hebrew alphabet, corresponding to the "d" sound and often associated with the numerical value four in Hebrew numerology.
-
E.
Gimel
Gimel is the third letter of the Hebrew alphabet, traditionally associated with the "g" sound and rich symbolic meanings in Jewish mysticism and tradition.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
CERN experiment
ⓘ
LEP experiment ⓘ particle physics detector ⓘ |
| abbreviationOf | Apparatus for LEP Physics ⓘ |
| collaborationSize | about 500 physicists ⓘ |
| collaborationType | international collaboration ⓘ |
| collider | LEP ⓘ |
| colliderTypeStudied | electron–positron ⓘ |
| contributedTo |
constraints on the Higgs boson mass (indirect)
ⓘ
measurement of the number of light neutrino families ⓘ precision determination of the Z boson mass ⓘ precision determination of the Z boson width ⓘ searches for supersymmetric particles ⓘ searches for the Standard Model Higgs boson ⓘ tests of lepton universality ⓘ |
| country | Switzerland ⓘ |
| dataTakingEnergyRange |
around the Z boson mass (~91 GeV)
ⓘ
up to about 209 GeV in LEP2 ⓘ |
| decommissionedWith | shutdown of LEP in 2000 ⓘ |
| detectorType | general‑purpose detector ⓘ |
| endOfDataTaking | 2000 ⓘ |
| fullName | Apparatus for LEP Physics ⓘ |
| hostLaboratory |
European Organization for Nuclear Research
ⓘ
linked to:
CERN
|
| locatedAt |
CERN
ⓘ
Large Electron–Positron Collider ⓘ |
| magneticFieldStrength | 1.5 tesla ⓘ |
| magnetType | superconducting solenoid ⓘ |
| measured | number of light neutrino species equal to three ⓘ |
| notableResult | confirmation of the Standard Model at the Z pole with high precision ⓘ |
| operatedBy | ALEPH Collaboration ⓘ |
| partOf |
LEP1 program
ⓘ
LEP2 program ⓘ
linked to:
LEP
|
| primaryPurpose | study high‑energy electron–positron collisions ⓘ |
| researchFocus |
W boson properties
ⓘ
Z boson properties ⓘ electroweak interactions ⓘ precision tests of the Standard Model ⓘ quantum chromodynamics ⓘ searches for new physics beyond the Standard Model ⓘ |
| startOfDataTaking | 1989 ⓘ |
| status | decommissioned ⓘ |
| subdetector |
electromagnetic calorimeter
ⓘ
hadronic calorimeter ⓘ inner tracking detector ⓘ muon chambers ⓘ time projection chamber ⓘ vertex detector ⓘ |
| succeededBy | experiments at the Large Hadron Collider ⓘ |
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: ALEPH Description of subject: ALEPH was a major particle physics detector experiment at CERN’s Large Electron–Positron Collider (LEP), designed to study high-energy electron–positron collisions and precisely test the Standard Model.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.