Tevatron
E76600
Tevatron was a circular particle accelerator at Fermilab that for many years was the world’s highest-energy collider, crucial in advancing high-energy physics research.
All labels observed (14)
How this entity was disambiguated
This entity first appeared as the object of triple T613883 — 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: Tevatron Context triple: [Fermi National Accelerator Laboratory, hasFacility, Tevatron]
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A.
Large Hadron Collider
The Large Hadron Collider is the world’s largest and most powerful particle accelerator, used to smash subatomic particles together at unprecedented energies to study fundamental physics, including the Higgs boson.
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B.
Super Proton Synchrotron
The Super Proton Synchrotron is a high-energy circular particle accelerator at CERN that serves both as a research machine and as a key injector for the Large Hadron Collider.
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C.
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.
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D.
CERN accelerator complex
The CERN accelerator complex is a network of interconnected particle accelerators and beamlines near Geneva that produce and prepare high-energy particle beams for experiments such as those at the Large Hadron Collider.
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E.
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.
- 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: Tevatron Target entity description: Tevatron was a circular particle accelerator at Fermilab that for many years was the world’s highest-energy collider, crucial in advancing high-energy physics research.
-
A.
Large Hadron Collider
The Large Hadron Collider is the world’s largest and most powerful particle accelerator, used to smash subatomic particles together at unprecedented energies to study fundamental physics, including the Higgs boson.
-
B.
Super Proton Synchrotron
The Super Proton Synchrotron is a high-energy circular particle accelerator at CERN that serves both as a research machine and as a key injector for the Large Hadron Collider.
-
C.
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.
-
D.
CERN accelerator complex
The CERN accelerator complex is a network of interconnected particle accelerators and beamlines near Geneva that produce and prepare high-energy particle beams for experiments such as those at the Large Hadron Collider.
-
E.
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.
- F. None of above. chosen
Statements (48)
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: Tevatron Description of subject: Tevatron was a circular particle accelerator at Fermilab that for many years was the world’s highest-energy collider, crucial in advancing high-energy physics research.
Referenced by (36)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Fermilab Tevatron accelerator complex
this entity surface form:
Fermilab Main Ring accelerator
this entity surface form:
Fermilab Tevatron
this entity surface form:
Tevatron Run II
this entity surface form:
Tevatron collider
this entity surface form:
Tevatron interaction region
this entity surface form:
Run I of the Tevatron
this entity surface form:
Run II of the Tevatron
this entity surface form:
Tevatron Run I
this entity surface form:
Tevatron Run II
this entity surface form:
Tevatron experiments
this entity surface form:
Tevatron Run I
this entity surface form:
Tevatron Run II
this entity surface form:
Tevatron (as injector)
this entity surface form:
Tevatron Run I
this entity surface form:
Tevatron Run II
this entity surface form:
Tevatron collider program
this entity surface form:
Fermilab Tevatron complex
this entity surface form:
Tevatron Run I
this entity surface form:
Tevatron Run II