Linac1
E82315
Linac1 is an earlier linear accelerator facility that served as the predecessor to Linac2 in a particle physics laboratory.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T680097 — 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: Linac1 Context triple: [Linac2, precededBy, Linac1]
-
A.
Linac2
Linac2 was CERN’s long-serving linear accelerator that pre-accelerated protons for injection into the Proton Synchrotron Booster and the rest of the accelerator complex before being superseded by Linac4.
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B.
Linac4
Linac4 is a linear accelerator at CERN that serves as the first stage of the proton acceleration chain for the Large Hadron Collider and other experiments.
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C.
LINAC3
LINAC3 is a linear accelerator at CERN that provides heavy-ion beams as part of the injector chain feeding the Large Hadron Collider.
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D.
Proton Synchrotron Booster
The Proton Synchrotron Booster is a circular particle accelerator at CERN that increases the energy of protons from the linear accelerator before injecting them into larger synchrotrons in the accelerator complex.
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E.
Proton Synchrotron
The Proton Synchrotron is a historic circular particle accelerator at CERN that has played a key role in high-energy physics research and in feeding beams to larger colliders.
- 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: Linac1 Target entity description: Linac1 is an earlier linear accelerator facility that served as the predecessor to Linac2 in a particle physics laboratory.
-
A.
Linac2
Linac2 was CERN’s long-serving linear accelerator that pre-accelerated protons for injection into the Proton Synchrotron Booster and the rest of the accelerator complex before being superseded by Linac4.
-
B.
Linac4
Linac4 is a linear accelerator at CERN that serves as the first stage of the proton acceleration chain for the Large Hadron Collider and other experiments.
-
C.
LINAC3
LINAC3 is a linear accelerator at CERN that provides heavy-ion beams as part of the injector chain feeding the Large Hadron Collider.
-
D.
Proton Synchrotron Booster
The Proton Synchrotron Booster is a circular particle accelerator at CERN that increases the energy of protons from the linear accelerator before injecting them into larger synchrotrons in the accelerator complex.
-
E.
Proton Synchrotron
The Proton Synchrotron is a historic circular particle accelerator at CERN that has played a key role in high-energy physics research and in feeding beams to larger colliders.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
linear accelerator
ⓘ
particle accelerator ⓘ |
| continent | Europe ⓘ |
| country | Switzerland ⓘ |
| field |
accelerator physics
ⓘ
high-energy physics ⓘ |
| hasBeamType | proton beam ⓘ |
| hasFunction | injector linac ⓘ |
| hasTechnology | radio-frequency acceleration ⓘ |
| locatedInCity | Meyrin ⓘ |
| locatedInCountry | Switzerland ⓘ |
| locatedInFacility | CERN ⓘ |
| operatedBy | CERN ⓘ |
| partOf | CERN accelerator complex ⓘ |
| predecessorOf | Linac2 ⓘ |
| status | decommissioned ⓘ |
| successor | Linac2 ⓘ |
| usedFor |
injector to synchrotrons
ⓘ
particle physics research ⓘ proton acceleration ⓘ |
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: Linac1 Description of subject: Linac1 is an earlier linear accelerator facility that served as the predecessor to Linac2 in a particle physics laboratory.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Linac1