numberOfEngines
P3542
predicate
Indicates the quantity of engines associated with or used by an entity.
All labels observed (43)
| Label | Occurrences |
|---|---|
| numberOfEngines canonical | 983 |
| engineCount | 60 |
| neuralEngineCoreCount | 17 |
| engines | 6 |
| firstStageEngineCount | 6 |
| numberOfEnginesPerAircraft | 5 |
| aircraftEngines | 4 |
| mainEngines | 3 |
| numberOfEnginesCategory | 3 |
| aircraftNumberOfEngines | 2 |
| centaurEngineCount | 2 |
| coreStageEngineCount | 2 |
| hasEngineCount | 2 |
| hasEngineNumber | 2 |
| hasNumberOfEngines | 2 |
| numberOfEnginesFirstStage | 2 |
| secondStageEngineCount | 2 |
| typicalEngineCount | 2 |
| aircraftEngineCount | 1 |
| aircraftEngineCountPerAircraft | 1 |
| aircraftEngineNumberClass | 1 |
| aircraftEnginesNumber | 1 |
| aircraftMaximumEngines | 1 |
| aircraftNumberOfEnginesCode | 1 |
| cruiseEngineCount | 1 |
| engineCountCategory | 1 |
| enginesNumber | 1 |
| enginesPerPod | 1 |
| liftEngineCount | 1 |
| numberOfEnginesOnCoreStage | 1 |
| numberOfEnginesOnSIVB | 1 |
| numberOfEnginesPerOrbiter | 1 |
| numberOfEnginesPerSR71 | 1 |
| numberOfEnginesPerTrainset | 1 |
| numberOfEnginesType | 1 |
| numberOfMainEngines | 1 |
| numberOfSeaLevelEngines | 1 |
| numberOfVacuumOptimizedEngines | 1 |
| originalEngineCount | 1 |
| serviceModuleEngineCount | 1 |
| subjectAircraftNumberOfEngines | 1 |
| thirdStageEngineCount | 1 |
| totalOMSMainEnginesPerOrbiter | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: numberOfEngines
Generated description
Indicates the quantity of engines associated with or used by an entity.
Sample triples (1,130)
| Subject | Object |
|---|---|
| Lim-6 | 1 ⓘ |
| A13 Bionic | 8 via predicate surface "neuralEngineCoreCount" ⓘ |
| Breguet 763 Deux-Ponts | 4 ⓘ |
| Vultee BT-13 Valiant | 1 via predicate surface "engineCount" ⓘ |
|
Hustler
surface form:
Convair B-58 Hustler
|
4 ⓘ |
|
Metropolitan
surface form:
Convair 440 Metropolitan
|
2 ⓘ |
|
Convair 580 (turboprop conversion)
surface form:
Convair 580
|
2 ⓘ |
|
Super Galeb
surface form:
SOKO G-4 Super Galeb
|
1 ⓘ |
| Zlin Z-242L | 1 ⓘ |
| Gloster F.5/34 | 1 via predicate surface "engineCount" ⓘ |
| Blackburn Dart | 1 ⓘ |
| Zlin Z-143 | 1 ⓘ |
| Bloch MB.152 | 1 ⓘ |
| Vultee A-31 Vengeance | 1 ⓘ |
| Boeing T-43 | 2 via predicate surface "engineCount" ⓘ |
| Shenyang J-5 | 1 ⓘ |
| Breguet 941 | 4 ⓘ |
|
Elvis Presley (private aircraft, Lisa Marie, ex-airline 880)
surface form:
Elvis Presley’s Lisa Marie
|
4 ⓘ |
| Convair 540 | 2 ⓘ |
|
UH-34 helicopter
surface form:
UH-34
|
1 ⓘ |
| Westland Lynx | 2 ⓘ |
| Embraer 120 Brasilia | 2 ⓘ |
| Leonardo AW149 | 2 ⓘ |
| Westland Wasp | 1 ⓘ |
|
Westland Merlin (EH101)
surface form:
Westland Merlin
|
3 ⓘ |
| Do 24T | 3 ⓘ |
|
Piper PA‑28 Cherokee family
surface form:
Piper PA-28 Cherokee family
|
1 ⓘ |
| Blackburn Kangaroo | 2 ⓘ |
| Convair 340 | 2 ⓘ |
| T-34A | 1 ⓘ |