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.

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All labels observed (1)

Label Occurrences
ALEPH canonical 3

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 CERN
surface form: European Organization for Nuclear Research
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
LEP
surface form: LEP2 program
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 (3)

Full triples — surface form annotated when it differs from this entity's canonical label.