1996 Stock

E492012

The 1996 Stock is a fleet of deep-level electric multiple unit trains used on the London Underground’s Jubilee line.

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All labels observed (1)

Label Occurrences
1996 Stock canonical 1

Statements (51)

Predicate Object
instanceOf London Underground rolling stock
deep-level tube stock
electric multiple unit
brakeType regenerative braking
rheostatic braking
builtAt Washwood Heath, Birmingham NERFINISHED
carBodyMaterial aluminium
carTypes DM-T-UNDM-UNDM-T-DM
controlSystem GEC Alsthom VVVF inverter NERFINISHED
countryOfManufacture United Kingdom NERFINISHED
couplingType Scharfenberg coupler
designedBy GEC Alsthom NERFINISHED
designedFor Jubilee Line Extension NERFINISHED
designedForPlatformEdgeDoorsCompatibility yes
doorType sliding plug doors
electrificationSystem 630 V DC fourth rail
enteredServiceOnSection Stratford–North Greenwich section of Jubilee line NERFINISHED
family Movia predecessor design
formation 7-car train
hasAirConditioning no
hasCCTV yes
hasDrivingMotorCar DM
hasPassengerInformationSystem electronic dot-matrix displays
hasTrailerCar T
hasUncouplingNonDrivingMotorCar UNDM NERFINISHED
interiorFeature longitudinal seating
through-gangways between cars
introducedInService 1997
lineVoltage 630 V DC
livery London Underground corporate red, white and blue
manufacturer GEC Alsthom NERFINISHED
Metro-Cammell NERFINISHED
maximumSpeed 100 km/h
network London Underground NERFINISHED
numberOfCarsPerTrainset 7
numberOfDoorsPerSidePerCar 4
operatingArea Greater London NERFINISHED
operator London Underground NERFINISHED
originalFormation 6-car train
powerCollectionMethod contact shoe
replacedRollingStock 1972 Stock NERFINISHED
safetySystem automatic train operation
automatic train protection
serviceSpeed 90 km/h
trackGauge 1435 mm standard gauge
tractionMotors 3-phase AC induction motors
usedFor passenger transport
usedInDepot Stratford Market Depot NERFINISHED
usedOnLine Jubilee line NERFINISHED
yearOfConstructionEnd 1999
yearOfConstructionStart 1996

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: 1996 Stock
Description of subject: The 1996 Stock is a fleet of deep-level electric multiple unit trains used on the London Underground’s Jubilee line.

Referenced by (1)

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

Jubilee line rollingStock 1996 Stock