Fast Interaction Trigger detector
E346671
The Fast Interaction Trigger detector is a specialized subdetector of the ALICE experiment at CERN designed to rapidly identify and select particle collision events of interest for data acquisition.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fast Interaction Trigger detector canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3316901 — 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: Fast Interaction Trigger detector Context triple: [ALICE experiment, hasSubsystem, Fast Interaction Trigger detector]
-
A.
Forward Multiplicity Detector
The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
-
B.
YOLO
"YOLO" is a comedic hip-hop song and music video by The Lonely Island, featuring Adam Levine and Kendrick Lamar, that parodies the phrase "you only live once" by humorously promoting extreme caution and risk avoidance.
-
C.
DETR
DETR is the acronym for the former UK government Department of the Environment, Transport and the Regions, which was responsible for environmental policy, transport, and regional affairs.
-
D.
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
"Long-term Recurrent Convolutional Networks for Visual Recognition and Description" is a research paper that introduces a deep learning architecture combining convolutional and recurrent neural networks to perform tasks like video recognition and automatic image or video captioning.
-
E.
Kanade–Lucas–Tomasi feature tracker
The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
- 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: Fast Interaction Trigger detector Target entity description: The Fast Interaction Trigger detector is a specialized subdetector of the ALICE experiment at CERN designed to rapidly identify and select particle collision events of interest for data acquisition.
-
A.
Forward Multiplicity Detector
The Forward Multiplicity Detector is a specialized ALICE experiment subdetector at CERN designed to measure charged-particle multiplicities at very forward angles in high-energy collisions.
-
B.
YOLO
"YOLO" is a comedic hip-hop song and music video by The Lonely Island, featuring Adam Levine and Kendrick Lamar, that parodies the phrase "you only live once" by humorously promoting extreme caution and risk avoidance.
-
C.
DETR
DETR is the acronym for the former UK government Department of the Environment, Transport and the Regions, which was responsible for environmental policy, transport, and regional affairs.
-
D.
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
"Long-term Recurrent Convolutional Networks for Visual Recognition and Description" is a research paper that introduces a deep learning architecture combining convolutional and recurrent neural networks to perform tasks like video recognition and automatic image or video captioning.
-
E.
Kanade–Lucas–Tomasi feature tracker
The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
particle physics detector
ⓘ
subdetector ⓘ |
| associatedWith | ALICE Run 3 upgrade ⓘ |
| collaboration | international collaboration within ALICE ⓘ |
| designedFor |
Run 3 and Run 4 of the LHC
ⓘ
centrality determination ⓘ collision time determination ⓘ event plane determination ⓘ luminosity monitoring ⓘ minimum-bias triggering ⓘ rapid event selection ⓘ |
| field | experimental high-energy physics ⓘ |
| function |
identify and select particle collision events of interest
ⓘ
provide input to ALICE trigger system ⓘ |
| hasAcronym | FIT ⓘ |
| hasComponent |
FIT-A
ⓘ
FIT-C ⓘ FIT-Forward modules ⓘ |
| hasFullName | Fast Interaction Trigger detector self-link ⓘ |
| hostLaboratory |
CERN
ⓘ
surface form:
European Organization for Nuclear Research
|
| locatedAt | Large Hadron Collider ⓘ |
| locatedIn | CERN ⓘ |
| measures |
charged-particle multiplicity at forward rapidity
ⓘ
collision time with high precision ⓘ |
| operatedBy |
ALICE experiment
ⓘ
surface form:
ALICE Collaboration
|
| partOf | ALICE experiment ⓘ |
| positioned | around the interaction point of ALICE ⓘ |
| provides |
fast timing information
ⓘ
interaction trigger signals ⓘ multiplicity measurements ⓘ |
| readoutType |
fast front-end electronics
ⓘ
trigger electronics ⓘ |
| replaced |
AD detector
ⓘ
T0 detector ⓘ V0 detector ⓘ |
| supports |
high interaction rate operation
ⓘ
online data acquisition ⓘ |
| technology |
Cherenkov detectors
ⓘ
scintillator detectors ⓘ |
| usedIn |
heavy-ion collisions
ⓘ
proton–nucleus collisions ⓘ proton–proton collisions ⓘ |
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: Fast Interaction Trigger detector Description of subject: The Fast Interaction Trigger detector is a specialized subdetector of the ALICE experiment at CERN designed to rapidly identify and select particle collision events of interest for data acquisition.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.