story_id
int64
1
486
premises
stringlengths
41
1.12k
premises-FOL
stringlengths
41
1.43k
conclusion
stringlengths
12
378
conclusion-FOL
stringlengths
8
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label
stringclasses
3 values
example_id
int64
3
1.43k
229
Barbara Ann Marshall is a former swimmer and former world record-holder. Barbara Ann Marshall participated in the 1972 Summer Olympics. Barbara Ann Marshall's home country is the United States. All people who competed in the 1972 Summer Olympics represented their home country. Barbara Ann Marshall participated in the preliminary heat in the freestyle relay. Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay. Only relay swimmers who participated in the final event at the 1972 Summer Olympics received medals.
FormerSwimmer(barbaraAnnMarshall) ∧ FormerWorldRecordHolder(barbaraAnnMarshall) ParticipatedIn(barbaraAnnMarshall, 1972SummerOlympics) HomeCountry(barbaraAnnMarshall, unitedStates) ∀x ∃y (ParticipatedIn(x, 1972SummerOlympics) ∧ HomeCountry(x, y) → Represented(x, y)) ParticipatedIn(barbaraAnnMarshall, preliminaryHeatFreestyleRelay) ¬ParticipatedIn(barbaraAnnMarshall, finalHeatFreestyleRelay) ∀x ((ParticipatedIn(x, 1972SummerOlympics) ∧ RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalHeatFreestyleRelay)) ↔ ¬Recieved(x, medal)))
Barbara Ann Marshall did not receive medals.
¬Recieved(barbaraAnnMarshall, medal)
Uncertain
650
229
Barbara Ann Marshall is a former swimmer and former world record-holder. Barbara Ann Marshall participated in the 1972 Summer Olympics. Barbara Ann Marshall's home country is the United States. All people who competed in the 1972 Summer Olympics represented their home country. Barbara Ann Marshall participated in the preliminary heat in the freestyle relay. Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay. Only relay swimmers who participated in the final event at the 1972 Summer Olympics received medals.
FormerSwimmer(barbaraAnnMarshall) ∧ FormerWorldRecordHolder(barbaraAnnMarshall) ParticipatedIn(barbaraAnnMarshall, 1972SummerOlympics) HomeCountry(barbaraAnnMarshall, unitedStates) ∀x ∃y (ParticipatedIn(x, 1972SummerOlympics) ∧ HomeCountry(x, y) → Represented(x, y)) ParticipatedIn(barbaraAnnMarshall, preliminaryHeatFreestyleRelay) ¬ParticipatedIn(barbaraAnnMarshall, finalHeatFreestyleRelay) ∀x ((ParticipatedIn(x, 1972SummerOlympics) ∧ RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalHeatFreestyleRelay)) ↔ ¬Recieved(x, medal)))
Barbara Ann Marshall represented the United States in the 1972 Summer Olympics.
Represented(barbaraAnnMarshall, unitedStates)
True
651
201
A game is played with three stages: red stage, yellow stage, and green stage. Each player begins at the red stage. All players must reach the yellow stage before they can reach the green stage. The yellow stage comes after the red stage. All players must proceed one stage at a time.
∃x ∃y ∃y ∃w (Game(x) ∧ StageNumber(x,3) ∧ Stage(y) ∧ Stage(z) ∧ Stage(w) ∧ ¬(y=z) ∧ ¬(z=w) ∧ ¬(y=w) ∧ Red(y) ∧ Yellow(z) ∧ Green(w)) ∀x (Player(x) → StartRed(x)) ∀x (Player(x) ∧ ¬ReachYellow(x) → ¬ReachGreen(x)) ∀x (Player(x) ∧ StartRed(x) → ReachYellow(x)) ∀x (Player(x) ∧ StartRed(x) ∧ ¬ReachYellow(x) → ¬ReachGreen(x))
It is possible to move to the green stage without ever reaching the yellow stage.
∃x (Player(x) ∧ RedToGreen(x))
False
572
201
A game is played with three stages: red stage, yellow stage, and green stage. Each player begins at the red stage. All players must reach the yellow stage before they can reach the green stage. The yellow stage comes after the red stage. All players must proceed one stage at a time.
∃x ∃y ∃y ∃w (Game(x) ∧ StageNumber(x,3) ∧ Stage(y) ∧ Stage(z) ∧ Stage(w) ∧ ¬(y=z) ∧ ¬(z=w) ∧ ¬(y=w) ∧ Red(y) ∧ Yellow(z) ∧ Green(w)) ∀x (Player(x) → StartRed(x)) ∀x (Player(x) ∧ ¬ReachYellow(x) → ¬ReachGreen(x)) ∀x (Player(x) ∧ StartRed(x) → ReachYellow(x)) ∀x (Player(x) ∧ StartRed(x) ∧ ¬ReachYellow(x) → ¬ReachGreen(x))
It is possible to reach the yellow stage without ever reaching the green stage.
∃x (Player(x) ∧ RedToYellow(x))
True
573
201
A game is played with three stages: red stage, yellow stage, and green stage. Each player begins at the red stage. All players must reach the yellow stage before they can reach the green stage. The yellow stage comes after the red stage. All players must proceed one stage at a time.
∃x ∃y ∃y ∃w (Game(x) ∧ StageNumber(x,3) ∧ Stage(y) ∧ Stage(z) ∧ Stage(w) ∧ ¬(y=z) ∧ ¬(z=w) ∧ ¬(y=w) ∧ Red(y) ∧ Yellow(z) ∧ Green(w)) ∀x (Player(x) → StartRed(x)) ∀x (Player(x) ∧ ¬ReachYellow(x) → ¬ReachGreen(x)) ∀x (Player(x) ∧ StartRed(x) → ReachYellow(x)) ∀x (Player(x) ∧ StartRed(x) ∧ ¬ReachYellow(x) → ¬ReachGreen(x))
It is possible to complete the game without ever reaching the green stage.
∃x (Player(x) ∧ CompleteGame(x))
Uncertain
574
399
In Love City, everyone considers physical touch or words of affirmation to be their most important love language. If someone in Love City considers physical touch as their most important love language, then they are good with pets. If someone in Love City is good with pets, then they are not scared of animals. In Love City, everyone is scared of animals, or loves animals, or both. Adam, who is in Love City, either values physical touch as his most important love language or loves animals.
∀x (In(x, loveCity) → (ConsidersMostImportantLoveLanguage(x, physicalTouch) ∨ ConsidersMostImportantLoveLanguage(x, wordOfAffirmation)) ∀x ((ConsidersMostImportantLoveLanguage(x, physicalTouch) ∧ In(x, loveCity) → GoodWith(x, pet)) ∀x ((GoodWith(x, pet) ∧ In(x, loveCity)) → ¬ScaredOf(x, animal)) ∀x (In(x, loveCity) → (ScaredOf(x, animal) ∨ Loves(x, animal))) (ConsidersMostImportantLoveLanguage(adam, physicalTouch) ⊕ Loves(adam, animal)) ∧ In(adam, loveCity)
Adam is scared of animals.
ScaredOf(adam, animal)
Uncertain
1,090
399
In Love City, everyone considers physical touch or words of affirmation to be their most important love language. If someone in Love City considers physical touch as their most important love language, then they are good with pets. If someone in Love City is good with pets, then they are not scared of animals. In Love City, everyone is scared of animals, or loves animals, or both. Adam, who is in Love City, either values physical touch as his most important love language or loves animals.
∀x (In(x, loveCity) → (ConsidersMostImportantLoveLanguage(x, physicalTouch) ∨ ConsidersMostImportantLoveLanguage(x, wordOfAffirmation)) ∀x ((ConsidersMostImportantLoveLanguage(x, physicalTouch) ∧ In(x, loveCity) → GoodWith(x, pet)) ∀x ((GoodWith(x, pet) ∧ In(x, loveCity)) → ¬ScaredOf(x, animal)) ∀x (In(x, loveCity) → (ScaredOf(x, animal) ∨ Loves(x, animal))) (ConsidersMostImportantLoveLanguage(adam, physicalTouch) ⊕ Loves(adam, animal)) ∧ In(adam, loveCity)
Adam considers words of affirmation to be the most important love language.
ConsidersMostImportantLoveLanguage(adam, wordOfAffirmation)
True
1,091
399
In Love City, everyone considers physical touch or words of affirmation to be their most important love language. If someone in Love City considers physical touch as their most important love language, then they are good with pets. If someone in Love City is good with pets, then they are not scared of animals. In Love City, everyone is scared of animals, or loves animals, or both. Adam, who is in Love City, either values physical touch as his most important love language or loves animals.
∀x (In(x, loveCity) → (ConsidersMostImportantLoveLanguage(x, physicalTouch) ∨ ConsidersMostImportantLoveLanguage(x, wordOfAffirmation)) ∀x ((ConsidersMostImportantLoveLanguage(x, physicalTouch) ∧ In(x, loveCity) → GoodWith(x, pet)) ∀x ((GoodWith(x, pet) ∧ In(x, loveCity)) → ¬ScaredOf(x, animal)) ∀x (In(x, loveCity) → (ScaredOf(x, animal) ∨ Loves(x, animal))) (ConsidersMostImportantLoveLanguage(adam, physicalTouch) ⊕ Loves(adam, animal)) ∧ In(adam, loveCity)
Adam considers physical touch as the most important love language and considers words of affirmation as the most important love language.
ConsidersMostImportantLoveLanguage(adam, physicalTouch) ∧ ConsidersMostImportantLoveLanguage(adam, wordOfAffirmation)
False
1,092
399
In Love City, everyone considers physical touch or words of affirmation to be their most important love language. If someone in Love City considers physical touch as their most important love language, then they are good with pets. If someone in Love City is good with pets, then they are not scared of animals. In Love City, everyone is scared of animals, or loves animals, or both. Adam, who is in Love City, either values physical touch as his most important love language or loves animals.
∀x (In(x, loveCity) → (ConsidersMostImportantLoveLanguage(x, physicalTouch) ∨ ConsidersMostImportantLoveLanguage(x, wordOfAffirmation)) ∀x ((ConsidersMostImportantLoveLanguage(x, physicalTouch) ∧ In(x, loveCity) → GoodWith(x, pet)) ∀x ((GoodWith(x, pet) ∧ In(x, loveCity)) → ¬ScaredOf(x, animal)) ∀x (In(x, loveCity) → (ScaredOf(x, animal) ∨ Loves(x, animal))) (ConsidersMostImportantLoveLanguage(adam, physicalTouch) ⊕ Loves(adam, animal)) ∧ In(adam, loveCity)
Adam either values physical touch as an especially important love language or values words of affirmation as an especially important love language.
ConsidersMostImportantLoveLanguage(adam, physicalTouch) ⊕ ConsidersMostImportantLoveLanguage(adam, wordOfAffirmation)
True
1,093
399
In Love City, everyone considers physical touch or words of affirmation to be their most important love language. If someone in Love City considers physical touch as their most important love language, then they are good with pets. If someone in Love City is good with pets, then they are not scared of animals. In Love City, everyone is scared of animals, or loves animals, or both. Adam, who is in Love City, either values physical touch as his most important love language or loves animals.
∀x (In(x, loveCity) → (ConsidersMostImportantLoveLanguage(x, physicalTouch) ∨ ConsidersMostImportantLoveLanguage(x, wordOfAffirmation)) ∀x ((ConsidersMostImportantLoveLanguage(x, physicalTouch) ∧ In(x, loveCity) → GoodWith(x, pet)) ∀x ((GoodWith(x, pet) ∧ In(x, loveCity)) → ¬ScaredOf(x, animal)) ∀x (In(x, loveCity) → (ScaredOf(x, animal) ∨ Loves(x, animal))) (ConsidersMostImportantLoveLanguage(adam, physicalTouch) ⊕ Loves(adam, animal)) ∧ In(adam, loveCity)
If Adam values physical touch as an especially important love language or is good with pets, then Adam values words of affirmation as an especially important love language.
(ConsidersMostImportantLoveLanguage(adam, physicalTouch, mostImportantLoveLanguage) ∨ GoodWith(x, pet)) → ConsidersMostImportantLoveLanguage(adam, wordOfAffirmation)
True
1,094
444
All birds have wings. Animals with wings aren't reptiles. Some animals that fly are birds. If something is an iguana, then it is a reptile. Simeng: All iguanas are reptiles. John is either both an iguana and a bird, or he is neither. John is an animal.
∀x (Bird(x) → ∃y ∃z (¬(y=z) ∧ Wing(y) ∧ Wing(z) ∧ Have(x, y) ∧ Have(x, z))) ∀x (Animal(x) ∧ (∃y ∃z (¬(y=z) ∧ Wing(y) ∧ Wing(z) ∧ Have(x, y) ∧ Have(x, z))) → ¬Reptile(x)) ∃x (Animal(x) ∧ Fly(x) ∧ Bird(x)) ∀x (Iguana(x) → Reptile(x)) ¬(Iguana(john) ⊕ Bird(john)) Animal(john)
John is a reptile.
Reptile(john)
Uncertain
1,277
444
All birds have wings. Animals with wings aren't reptiles. Some animals that fly are birds. If something is an iguana, then it is a reptile. Simeng: All iguanas are reptiles. John is either both an iguana and a bird, or he is neither. John is an animal.
∀x (Bird(x) → ∃y ∃z (¬(y=z) ∧ Wing(y) ∧ Wing(z) ∧ Have(x, y) ∧ Have(x, z))) ∀x (Animal(x) ∧ (∃y ∃z (¬(y=z) ∧ Wing(y) ∧ Wing(z) ∧ Have(x, y) ∧ Have(x, z))) → ¬Reptile(x)) ∃x (Animal(x) ∧ Fly(x) ∧ Bird(x)) ∀x (Iguana(x) → Reptile(x)) ¬(Iguana(john) ⊕ Bird(john)) Animal(john)
John is not both an iguana and an animal that can fly.
¬(Iguana(john) ∧ Fly(john))
True
1,278
444
All birds have wings. Animals with wings aren't reptiles. Some animals that fly are birds. If something is an iguana, then it is a reptile. Simeng: All iguanas are reptiles. John is either both an iguana and a bird, or he is neither. John is an animal.
∀x (Bird(x) → ∃y ∃z (¬(y=z) ∧ Wing(y) ∧ Wing(z) ∧ Have(x, y) ∧ Have(x, z))) ∀x (Animal(x) ∧ (∃y ∃z (¬(y=z) ∧ Wing(y) ∧ Wing(z) ∧ Have(x, y) ∧ Have(x, z))) → ¬Reptile(x)) ∃x (Animal(x) ∧ Fly(x) ∧ Bird(x)) ∀x (Iguana(x) → Reptile(x)) ¬(Iguana(john) ⊕ Bird(john)) Animal(john)
John is an animal that can fly and John is a bird.
Animal(john) ∧ Fly(john) ∧ Bird(john)
False
1,279
30
EndGame is a movie released in 2006. EndGame was set in Washington. EndGame was filmed outside of Washington. Some movies are filmed in New York. Andy Chang directed EndGame. Andy Chang is from Hong Kong.
Movie(endGame) ∧ Released(endGame, yr2006) SetIn(endGame, washington) ¬(FilmedIn(endGame, washington)) ∃x∃y(FilmedIn(x, newYork) ∧ (¬(x=y)) ∧ FilmedIn(y, newYork)) Directed(andyChang, endGame) From(andyChang, hongKong)
EndGame was filmed in New York.
FilmedIn(endGame, newYork)
Uncertain
86
30
EndGame is a movie released in 2006. EndGame was set in Washington. EndGame was filmed outside of Washington. Some movies are filmed in New York. Andy Chang directed EndGame. Andy Chang is from Hong Kong.
Movie(endGame) ∧ Released(endGame, yr2006) SetIn(endGame, washington) ¬(FilmedIn(endGame, washington)) ∃x∃y(FilmedIn(x, newYork) ∧ (¬(x=y)) ∧ FilmedIn(y, newYork)) Directed(andyChang, endGame) From(andyChang, hongKong)
EndGame was not directed by someone from Hong Kong.
∀x (¬(Directed(x, endGame) ∧ From(x, hongKong)))
False
87
30
EndGame is a movie released in 2006. EndGame was set in Washington. EndGame was filmed outside of Washington. Some movies are filmed in New York. Andy Chang directed EndGame. Andy Chang is from Hong Kong.
Movie(endGame) ∧ Released(endGame, yr2006) SetIn(endGame, washington) ¬(FilmedIn(endGame, washington)) ∃x∃y(FilmedIn(x, newYork) ∧ (¬(x=y)) ∧ FilmedIn(y, newYork)) Directed(andyChang, endGame) From(andyChang, hongKong)
All of Andy Chang's movies are filmed outside of Washington.
∀x (Directed(andyChang, x) → ¬(FilmedIn(x, washington)))
Uncertain
88
7
Six, seven and eight are real numbers. If a real number equals another real number added by one, the first number is larger. If the number x is larger than the number y, then y is not larger than x. Seven equals six plus one. Eight equals seven plus one. Two is positive. If a number is positive, then the double of it is also positive. Eight is the double of four. Four is the double of two.
RealNum(num6) ∧ RealNum(num7) ∧ RealNum(num8) ∀x ∀y ((RealNum(x) ∧ RealNum(y) ∧ IsSuccessorOf(x, y)) → Larger(x, y)) ∀x ∀y (Larger(x, y) → ¬Larger(y, x)) ∃y(IsSuccessorOf(y, num6) ∧ Equals(num7, y)) ∃y(IsSuccessorOf(y, num7) ∧ Equals(num8, y)) Positive(num2) ∀x ∀y ((Positive(x) ∧ IsDouble(y, x)) → Positive(y)) IsDouble(num8, num4) IsDouble(num4, num2)
Eight is larger than seven.
Larger(eight, seven)
True
17
7
Six, seven and eight are real numbers. If a real number equals another real number added by one, the first number is larger. If the number x is larger than the number y, then y is not larger than x. Seven equals six plus one. Eight equals seven plus one. Two is positive. If a number is positive, then the double of it is also positive. Eight is the double of four. Four is the double of two.
RealNum(num6) ∧ RealNum(num7) ∧ RealNum(num8) ∀x ∀y ((RealNum(x) ∧ RealNum(y) ∧ IsSuccessorOf(x, y)) → Larger(x, y)) ∀x ∀y (Larger(x, y) → ¬Larger(y, x)) ∃y(IsSuccessorOf(y, num6) ∧ Equals(num7, y)) ∃y(IsSuccessorOf(y, num7) ∧ Equals(num8, y)) Positive(num2) ∀x ∀y ((Positive(x) ∧ IsDouble(y, x)) → Positive(y)) IsDouble(num8, num4) IsDouble(num4, num2)
Eight is positive.
Positive(eight)
True
18
7
Six, seven and eight are real numbers. If a real number equals another real number added by one, the first number is larger. If the number x is larger than the number y, then y is not larger than x. Seven equals six plus one. Eight equals seven plus one. Two is positive. If a number is positive, then the double of it is also positive. Eight is the double of four. Four is the double of two.
RealNum(num6) ∧ RealNum(num7) ∧ RealNum(num8) ∀x ∀y ((RealNum(x) ∧ RealNum(y) ∧ IsSuccessorOf(x, y)) → Larger(x, y)) ∀x ∀y (Larger(x, y) → ¬Larger(y, x)) ∃y(IsSuccessorOf(y, num6) ∧ Equals(num7, y)) ∃y(IsSuccessorOf(y, num7) ∧ Equals(num8, y)) Positive(num2) ∀x ∀y ((Positive(x) ∧ IsDouble(y, x)) → Positive(y)) IsDouble(num8, num4) IsDouble(num4, num2)
Six is larger than seven.
Larger(six, seven)
False
19
293
All dogs sleep. Some four-legged animals are dogs.
∀x (Dog(x) → Sleep(x)) ∃x ∃y (FourLegged(x) ∧ Animal(x) ∧ Dog(x) ∧ FourLegged(y) ∧ Animal(y) ∧ Dog(y) ∧ ¬(x=y))
Some four-legged animals sleep.
∃x ∃y (FourLegged(x) ∧ Animal(x) ∧ Sleeps(x) ∧ FourLegged(y) ∧ Animal(y) ∧ Sleeps(y) ∧ ¬(x=y))
True
737
475
Everyone who is entitled to national social insurance coverage can have their medical bills partially covered. All PRC nationals are entitled to national social insurance coverage. Everyone in the Franco-China diplomatic conference is either a PRC national or a French national, but not both. All French nationals are citizens of the European Union. All Spanish nationals are citizens of the European Union. No North Korean nationals are citizens of the European Union. Mei is at the Franco-China diplomatic conference. Either Mei is a North Korean and can have medical bills partially covered, or neither is true.
∀x (EntitledTo(x, nationalSocialInsuranceCoverage) → CanHavePartiallyCovered(x, medicalBills)) ∀x (PRCNational(x) → EntitledTo(x, nationalSocialInsuranceCoverage)) ∀x (In(x, franco-ChinaDiplomaticConference) → PRCNational(x) ⊕ FrenchNational(x)) ∀x (FrenchNational(x) → CitizenOf(x, europeanUnion)) ∀x (SpanishNational(x) → CitizenOf(x, europeanUnion)) ∀x (NorthKoreanNational(x) → ¬CitizenOf(x, europeanUnion)) In(mei, franco-ChinaDiplomaticConference) ¬(NorthKoreanNational(mei) ⊕ CanHavePartiallyCovered(mei, medicalBills))
Mei is a PRC national.
PRCNational(mei)
Uncertain
1,378
475
Everyone who is entitled to national social insurance coverage can have their medical bills partially covered. All PRC nationals are entitled to national social insurance coverage. Everyone in the Franco-China diplomatic conference is either a PRC national or a French national, but not both. All French nationals are citizens of the European Union. All Spanish nationals are citizens of the European Union. No North Korean nationals are citizens of the European Union. Mei is at the Franco-China diplomatic conference. Either Mei is a North Korean and can have medical bills partially covered, or neither is true.
∀x (EntitledTo(x, nationalSocialInsuranceCoverage) → CanHavePartiallyCovered(x, medicalBills)) ∀x (PRCNational(x) → EntitledTo(x, nationalSocialInsuranceCoverage)) ∀x (In(x, franco-ChinaDiplomaticConference) → PRCNational(x) ⊕ FrenchNational(x)) ∀x (FrenchNational(x) → CitizenOf(x, europeanUnion)) ∀x (SpanishNational(x) → CitizenOf(x, europeanUnion)) ∀x (NorthKoreanNational(x) → ¬CitizenOf(x, europeanUnion)) In(mei, franco-ChinaDiplomaticConference) ¬(NorthKoreanNational(mei) ⊕ CanHavePartiallyCovered(mei, medicalBills))
Mei is not a PRC national.
¬PRCNational(mei)
Uncertain
1,379
475
Everyone who is entitled to national social insurance coverage can have their medical bills partially covered. All PRC nationals are entitled to national social insurance coverage. Everyone in the Franco-China diplomatic conference is either a PRC national or a French national, but not both. All French nationals are citizens of the European Union. All Spanish nationals are citizens of the European Union. No North Korean nationals are citizens of the European Union. Mei is at the Franco-China diplomatic conference. Either Mei is a North Korean and can have medical bills partially covered, or neither is true.
∀x (EntitledTo(x, nationalSocialInsuranceCoverage) → CanHavePartiallyCovered(x, medicalBills)) ∀x (PRCNational(x) → EntitledTo(x, nationalSocialInsuranceCoverage)) ∀x (In(x, franco-ChinaDiplomaticConference) → PRCNational(x) ⊕ FrenchNational(x)) ∀x (FrenchNational(x) → CitizenOf(x, europeanUnion)) ∀x (SpanishNational(x) → CitizenOf(x, europeanUnion)) ∀x (NorthKoreanNational(x) → ¬CitizenOf(x, europeanUnion)) In(mei, franco-ChinaDiplomaticConference) ¬(NorthKoreanNational(mei) ⊕ CanHavePartiallyCovered(mei, medicalBills))
If Mei is either a North Korean or a Spanish national, then Mei is either both a French national and a citizen of the European Union, or neither a French national nor a citizen of the European Union.
NorthKoreanNational(mei) ⊕ SpanishNational(mei) → ¬(FrenchNational(mei) ⊕ European(mei))
True
1,380
268
No people who do not admit a mistake are good teachers. Some well-informed people are people who do not admit a mistake.
∀x (¬Admit(x, mistake) → ¬GoodTeacher(x)) ∃x ∃y (WellInformed(x) ∧ WellInformed(y) ∧ ¬Admit(x, mistake) ∧ ¬Admit(y, mistake) ∧ ¬(x=y))
Some good teachers are not well-informed people.
∃x ∃y (GoodTeacher(x) ∧ GoodTeacher(y) ∧ ¬WellInformed(x) ∧ ¬WellInformed(y) ∧ ¬(x=y))
Uncertain
712
25
Philatelic literature is divided into the following categories: Stamp catalogs, Periodicals, Auction catalogs, Books, Bibliographies, and Background Material. Mort is not a Stamp catalog. Mort is not a periodical, auction catalog, bibliography, or background material. Mort is a piece of Philatelic literature.
∀x (PhilatelicLit(x) → (Stamp(x) ∨ Periodical(x) ∨ Auction(x) ∨ Book(x) ∨ Bibliography(x) ∨ Background(x))) ¬Stamp(mort) ¬(Periodical(mort) ∨ Auction(mort) ∨ Bibliography(mort) ∨ Background(mort)) PhilatelicLit(mort)
Mort is background material.
Background(mort)
False
72
25
Philatelic literature is divided into the following categories: Stamp catalogs, Periodicals, Auction catalogs, Books, Bibliographies, and Background Material. Mort is not a Stamp catalog. Mort is not a periodical, auction catalog, bibliography, or background material. Mort is a piece of Philatelic literature.
∀x (PhilatelicLit(x) → (Stamp(x) ∨ Periodical(x) ∨ Auction(x) ∨ Book(x) ∨ Bibliography(x) ∨ Background(x))) ¬Stamp(mort) ¬(Periodical(mort) ∨ Auction(mort) ∨ Bibliography(mort) ∨ Background(mort)) PhilatelicLit(mort)
Eragon is a piece of Philatelic literature.
PhilatelicLit(eragon)
Uncertain
73
92
Adventures of Rusty is a drama film and children's film. Columbia Pictures produced Adventures of Rusty. Tintin was produced by Paramount. Tintin is an adventure film.
DramaFilm(adventuresOfRusty) ∧ ChildrensFilm(adventuresOfRusty) Produces(columbiaPictures, adventuresOfRusty) Produces(paramount, tintin) AdventureFilm(tintin)
Columbia pictures produced some drama film.
∃x (DramaFilm(x) ∧ Produces(columbiaPictures, x))
True
279
92
Adventures of Rusty is a drama film and children's film. Columbia Pictures produced Adventures of Rusty. Tintin was produced by Paramount. Tintin is an adventure film.
DramaFilm(adventuresOfRusty) ∧ ChildrensFilm(adventuresOfRusty) Produces(columbiaPictures, adventuresOfRusty) Produces(paramount, tintin) AdventureFilm(tintin)
Columbia pictures produced some adventure film.
∃x (AdventureFilm(x) ∧ Produces(columbiaPictures, x))
Uncertain
280
92
Adventures of Rusty is a drama film and children's film. Columbia Pictures produced Adventures of Rusty. Tintin was produced by Paramount. Tintin is an adventure film.
DramaFilm(adventuresOfRusty) ∧ ChildrensFilm(adventuresOfRusty) Produces(columbiaPictures, adventuresOfRusty) Produces(paramount, tintin) AdventureFilm(tintin)
Paramount produces children's films.
∃x (ChildrensFilm(x) ∧ Produces(paramount, x))
Uncertain
281
92
Adventures of Rusty is a drama film and children's film. Columbia Pictures produced Adventures of Rusty. Tintin was produced by Paramount. Tintin is an adventure film.
DramaFilm(adventuresOfRusty) ∧ ChildrensFilm(adventuresOfRusty) Produces(columbiaPictures, adventuresOfRusty) Produces(paramount, tintin) AdventureFilm(tintin)
Paramount produces adventure films.
∃x (AdventureFilm(x) ∧ Produces(paramount, x))
True
282
233
Deng Xiaoping served as the paramount leader of the People's Republic of China. Deng Xiaoping was praised for his reaffirmation of the reform program, as well as the reversion of Hong Kong to Chinese control and the return of Macau. As the party's Secretary-General under Mao and Vice Premier in the 1950s, Deng Xiaoping presided over the Anti-Rightist Campaign launched by Mao. Deng Xiaoping became instrumental in China's economic reconstruction following the disastrous Great Leap Forward. Mao Zedong died in 1976. After Mao Zedong's death, Deng Xiaoping gradually rose to supreme power.
ParamountLeaderOf(dengXiaoping, peoplesRepublicOfChina) PraisedFor(dengXiaoping, reaffirmationOfReformProgram) ∧ PraisedFor(dengXiaoping, reversionOfHongKong) ∧ PraisedFor(dengXiaoping, returnOfMacau) PartysSecretaryGeneral(dengXiaoping) ∧ Under(dengXiaoping, mao) ∧ VicePremierInThe1950s(dengXiaoping) ∧ PresidedOver(dengXiaoping, antiRightistCampaign) ∧ LaunchedBy(antiRightistCampaign, mao) InstrumentalIn(dengXiaoping, chinasEconomicReconstruction) ∧ Following(chinasEconomicReconstruction, greatLeapForward) ∧ Disastrous(greatLeapForward) DiedIn(mao, year1976) GraduallyRoseTo(dengXiaoping, supremePower)
The paramount leader of the PRC was also the vice premier.
∃x (ParamountLeaderOf(x, prc) ∧ VicePremier(x))
True
660
233
Deng Xiaoping served as the paramount leader of the People's Republic of China. Deng Xiaoping was praised for his reaffirmation of the reform program, as well as the reversion of Hong Kong to Chinese control and the return of Macau. As the party's Secretary-General under Mao and Vice Premier in the 1950s, Deng Xiaoping presided over the Anti-Rightist Campaign launched by Mao. Deng Xiaoping became instrumental in China's economic reconstruction following the disastrous Great Leap Forward. Mao Zedong died in 1976. After Mao Zedong's death, Deng Xiaoping gradually rose to supreme power.
ParamountLeaderOf(dengXiaoping, peoplesRepublicOfChina) PraisedFor(dengXiaoping, reaffirmationOfReformProgram) ∧ PraisedFor(dengXiaoping, reversionOfHongKong) ∧ PraisedFor(dengXiaoping, returnOfMacau) PartysSecretaryGeneral(dengXiaoping) ∧ Under(dengXiaoping, mao) ∧ VicePremierInThe1950s(dengXiaoping) ∧ PresidedOver(dengXiaoping, antiRightistCampaign) ∧ LaunchedBy(antiRightistCampaign, mao) InstrumentalIn(dengXiaoping, chinasEconomicReconstruction) ∧ Following(chinasEconomicReconstruction, greatLeapForward) ∧ Disastrous(greatLeapForward) DiedIn(mao, year1976) GraduallyRoseTo(dengXiaoping, supremePower)
Deng Xiaoping presided over something launched by someone he was under.
∃x ∃y (PresidedOver(dengxiaoping, x) ∧ Under(dengxiaoping, y) ∧ LaunchedBy(x, y))
True
661
233
Deng Xiaoping served as the paramount leader of the People's Republic of China. Deng Xiaoping was praised for his reaffirmation of the reform program, as well as the reversion of Hong Kong to Chinese control and the return of Macau. As the party's Secretary-General under Mao and Vice Premier in the 1950s, Deng Xiaoping presided over the Anti-Rightist Campaign launched by Mao. Deng Xiaoping became instrumental in China's economic reconstruction following the disastrous Great Leap Forward. Mao Zedong died in 1976. After Mao Zedong's death, Deng Xiaoping gradually rose to supreme power.
ParamountLeaderOf(dengXiaoping, peoplesRepublicOfChina) PraisedFor(dengXiaoping, reaffirmationOfReformProgram) ∧ PraisedFor(dengXiaoping, reversionOfHongKong) ∧ PraisedFor(dengXiaoping, returnOfMacau) PartysSecretaryGeneral(dengXiaoping) ∧ Under(dengXiaoping, mao) ∧ VicePremierInThe1950s(dengXiaoping) ∧ PresidedOver(dengXiaoping, antiRightistCampaign) ∧ LaunchedBy(antiRightistCampaign, mao) InstrumentalIn(dengXiaoping, chinasEconomicReconstruction) ∧ Following(chinasEconomicReconstruction, greatLeapForward) ∧ Disastrous(greatLeapForward) DiedIn(mao, year1976) GraduallyRoseTo(dengXiaoping, supremePower)
The person instrumental in china's economic reconstruction gradually rose to supreme power.
∃x (InstrumentalIn(x, chinaseconomicreconstruction) ∧ GraduallyRoseTo(x, supremepower))
True
662
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
Dune is realistic fiction.
RealisticFiction(dune)
Uncertain
1,047
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
Dune is a result of creative and imaginative process.
ResultOf(dune, creativeProcess) ∧ ImaginativeProcess(dune)
True
1,048
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
Dune is either a result of creative processes or came from an imaginative process.
ResultOf(dune, creativeProcess) ⊕ ImaginativeProcess(dune)
False
1,049
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
Dune is a result of creative processes and is science fiction.
ResultOf(dune, creativeProcess) ∧ ScienceFiction(dune))
True
1,050
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
Dune is either a result of creative processes or is science fiction.
Knows(dan, dune) ∧ (ResultOf(dune, creativeProcess) ⊕ ScienceFiction(dune))
False
1,051
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
If Dune is a result of creative and imaginative processes, then Dune is not a result of creative processes and science-fiction.
(ResultOf(dune, creativeProcess) ∧ ImaginativeProcess(dune)) → (¬ResultOf(dune, creativeProcess) ∧ ¬ScienceFiction(dune))
False
1,052
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
If Dune is either a fact and a result of creative processes, or neither a fact nor a result of creative processes, then Dune is a result of creative processes and science-fiction.
Knows(dan, dune) ∧ (¬(Fact(dune) ⊕ ResultOf(dune, creativeProcess))) → (ResultOf(dune, creativeProcess) ∧ ScienceFiction(dune))
True
1,053
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
If Dune is science-fiction, then Dune is not a result of creative processes and science-fiction.
Knows(dan, dune) ∧ (ScienceFiction(dune)) → (¬(ResultOf(dune, creativeProcess) ∧ ScienceFiction(dune)))
False
1,054
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
If Dune is not a result of creative processes and science-fiction, then Dune neither came from an imaginative process nor proved to be false.
Knows(dan, dune) ∧ (¬(ResultOf(dune, creativeProcess) ∧ ScienceFiction(dune))) → (¬(ImaginativeProcess(dune) ∨ ProvedToBe(dune, false)))
True
1,055
391
All imaginative processes that Dan knows are results of creative processes. All science fiction that Dan knows comes from an imaginative process. Everthing that Dan knows comes from either science-fiction or realistic fiction. No facts that Dan knows have proven to be false. Dan knows that Dune is science fiction or has proven to be false.
∀x ((Knows(dan, x) ∧ ImaginativeProcess(x)) → ResultOf(x, creativeProcess)) ∀x ((Knows(dan, x) ∧ ScienceFiction(x)) → ImaginativeProcess(x)) ∀x (Knows(dan, x) → (ScienceFiction(x) ⊕ RealisticFiction(x))) ∀x ((Knows(dan, x) ∧ Fact(x)) → ¬ProvedToBe(x, false)) (Knows(dan, dune) ∧ ScienceFiction(dune)) ∨ ProvedToBe(dune, false))
If Dune is did not come from imaginative process and is not science-fiction, then Dune is neither a result of creative processes nor came from an imaginative process.
Knows(dan, dune) ∧ (¬(ImaginativeProcess(dune) ∧ ScienceFiction(dune))) → (¬(ResultOf(dune, creativeProcess) ∨ ImaginativeProcess(dune)))
True
1,056
181
American superheroes come from either the DC Universe or Marvel Universe. Captain America is one of America's top-ten favorite superheroes Captain America does not come from the DC Universe. America's top-ten favorite superheroes speak English. Some superheroes speak both English and Spanish.
∀x (Superhero(x) ∧ American(x) → ComeFrom(x, dCUniverse) ⊕ ComeFrom(x, marvelUniverse)) American(captainAmerica) ∧ TopTenFavorite(captainAmerica) ∧ Superhero(captainAmerica) ¬ComeFrom(captainAmerica, dCUniverse) ∀x (American(x) ∧ TopTenFavorite(x) ∧ Superhero(x) → Speak(x, english)) ∃x (Superhero(x) → (Speak(x, english) ∧ Speak(x, spanish)))
Captain America does not speak English.
¬Speak(captainAmerica, english)
False
521
181
American superheroes come from either the DC Universe or Marvel Universe. Captain America is one of America's top-ten favorite superheroes Captain America does not come from the DC Universe. America's top-ten favorite superheroes speak English. Some superheroes speak both English and Spanish.
∀x (Superhero(x) ∧ American(x) → ComeFrom(x, dCUniverse) ⊕ ComeFrom(x, marvelUniverse)) American(captainAmerica) ∧ TopTenFavorite(captainAmerica) ∧ Superhero(captainAmerica) ¬ComeFrom(captainAmerica, dCUniverse) ∀x (American(x) ∧ TopTenFavorite(x) ∧ Superhero(x) → Speak(x, english)) ∃x (Superhero(x) → (Speak(x, english) ∧ Speak(x, spanish)))
Captain America comes from the Marvel universe.
ComeFrom(captainAmerica, marvelUniverse)
True
522
181
American superheroes come from either the DC Universe or Marvel Universe. Captain America is one of America's top-ten favorite superheroes Captain America does not come from the DC Universe. America's top-ten favorite superheroes speak English. Some superheroes speak both English and Spanish.
∀x (Superhero(x) ∧ American(x) → ComeFrom(x, dCUniverse) ⊕ ComeFrom(x, marvelUniverse)) American(captainAmerica) ∧ TopTenFavorite(captainAmerica) ∧ Superhero(captainAmerica) ¬ComeFrom(captainAmerica, dCUniverse) ∀x (American(x) ∧ TopTenFavorite(x) ∧ Superhero(x) → Speak(x, english)) ∃x (Superhero(x) → (Speak(x, english) ∧ Speak(x, spanish)))
Captain America speaks Spanish.
Speak(captainAmerica, spanish)
Uncertain
523
75
Robert Zimmer was a philosopher born in Germany. Robert Zimmer is an essayist. Robert Zimmer was born in 1953. Every essayist is a writer.
BornIn(robertZimmer, germany) ∧ Philosopher(robertZimmer) Essayist(robertZimmer) BornIn(robertZimmer, yr1953) ∀x (Essayist(x) → Writer(x))
Robert Zimmer is German.
BornIn(robertZimmer, germany)
Uncertain
228
75
Robert Zimmer was a philosopher born in Germany. Robert Zimmer is an essayist. Robert Zimmer was born in 1953. Every essayist is a writer.
BornIn(robertZimmer, germany) ∧ Philosopher(robertZimmer) Essayist(robertZimmer) BornIn(robertZimmer, yr1953) ∀x (Essayist(x) → Writer(x))
Robert Zimmer is not a writer.
¬Writer(robertZimmer)
False
229
75
Robert Zimmer was a philosopher born in Germany. Robert Zimmer is an essayist. Robert Zimmer was born in 1953. Every essayist is a writer.
BornIn(robertZimmer, germany) ∧ Philosopher(robertZimmer) Essayist(robertZimmer) BornIn(robertZimmer, yr1953) ∀x (Essayist(x) → Writer(x))
Robert Zimmer is a biographer.
Biographer(robertZimmer)
Uncertain
230
250
All people who repay their loans on time have a high credit score. Some people with high credit scores and high salaries are approved for mortgages. John has a high salary.
∀x (RepayOnTime(x) → Has(x, highCreditScore)) ∃x ((Has(x, highCreditScore) ∧ Has(x, highSalary)) → ApprovedFor(x, mortgage)) Has(john, highSalary)
If John repays his loans on time, he will be approved for a mortgage.
RepayOnTime(john) → ApprovedFor(john, mortgage)
Uncertain
694
344
All students are members of the university. All graduate students are students. All PhD students are graduate students. Some PhD students are Teaching Fellows. If John is not a PhD student, then he is not a member of the university. If John is a Teaching Fellow, then he is a PhD student or a graduate student.
∀x (Student(x) → MemberOf(x, university)) ∀x (GraduateStudent(x) → Student(x)) ∀x (PhDStudent(x) → GraduateStudent(x)) ∃x (PhDStudent(x) ∧ TeachingFellow(x)) ¬PhDStudent(john) → ¬MemberOf(john, university) TeachingFellow(john) → PhDStudent(john) ⊕ GraduateStudent(john)
John is a Teaching Fellow
TF(john)
False
907
344
All students are members of the university. All graduate students are students. All PhD students are graduate students. Some PhD students are Teaching Fellows. If John is not a PhD student, then he is not a member of the university. If John is a Teaching Fellow, then he is a PhD student or a graduate student.
∀x (Student(x) → MemberOf(x, university)) ∀x (GraduateStudent(x) → Student(x)) ∀x (PhDStudent(x) → GraduateStudent(x)) ∃x (PhDStudent(x) ∧ TeachingFellow(x)) ¬PhDStudent(john) → ¬MemberOf(john, university) TeachingFellow(john) → PhDStudent(john) ⊕ GraduateStudent(john)
John is not a Teaching Fellow.
¬TF(john)
True
908
344
All students are members of the university. All graduate students are students. All PhD students are graduate students. Some PhD students are Teaching Fellows. If John is not a PhD student, then he is not a member of the university. If John is a Teaching Fellow, then he is a PhD student or a graduate student.
∀x (Student(x) → MemberOf(x, university)) ∀x (GraduateStudent(x) → Student(x)) ∀x (PhDStudent(x) → GraduateStudent(x)) ∃x (PhDStudent(x) ∧ TeachingFellow(x)) ¬PhDStudent(john) → ¬MemberOf(john, university) TeachingFellow(john) → PhDStudent(john) ⊕ GraduateStudent(john)
John is a PhD student.
PhDStudent(john)
Uncertain
909
165
Belgium, France, and Germany are European countries. Paris is the capital of France. The Eiffel Tower is one of the main tourist attractions located in Paris. Some people who live in Belgium speak French. If John goes to Europe, he will see some tourist attractions. John speaks French.
EuropeanCountry(belgium) ∧ EuropeanCountry(france) ∧ EuropeanCountry(germany) CapitalOf(paris, france) TouristAttraction(eiffelTower) ∧ LocatedIn(eiffelTower, paris) ∃x (LiveIn(x, belgium) → Speak(x, french)) ∃x (GoTo(john, europe) → (See(john, x) ∧ TouristAttraction(x))) Speak(john, french)
If John goes to Europe, he will see the Eiffel Tower.
GoTo(john, europe) → See(john, eiffelTower)
Uncertain
473
165
Belgium, France, and Germany are European countries. Paris is the capital of France. The Eiffel Tower is one of the main tourist attractions located in Paris. Some people who live in Belgium speak French. If John goes to Europe, he will see some tourist attractions. John speaks French.
EuropeanCountry(belgium) ∧ EuropeanCountry(france) ∧ EuropeanCountry(germany) CapitalOf(paris, france) TouristAttraction(eiffelTower) ∧ LocatedIn(eiffelTower, paris) ∃x (LiveIn(x, belgium) → Speak(x, french)) ∃x (GoTo(john, europe) → (See(john, x) ∧ TouristAttraction(x))) Speak(john, french)
The Eiffel Tower is located in the capital of France.
∃x (CapitalOf(x, france) ∧ LocatedIn(eiffelTower, x))
True
474
165
Belgium, France, and Germany are European countries. Paris is the capital of France. The Eiffel Tower is one of the main tourist attractions located in Paris. Some people who live in Belgium speak French. If John goes to Europe, he will see some tourist attractions. John speaks French.
EuropeanCountry(belgium) ∧ EuropeanCountry(france) ∧ EuropeanCountry(germany) CapitalOf(paris, france) TouristAttraction(eiffelTower) ∧ LocatedIn(eiffelTower, paris) ∃x (LiveIn(x, belgium) → Speak(x, french)) ∃x (GoTo(john, europe) → (See(john, x) ∧ TouristAttraction(x))) Speak(john, french)
John lives in Belgium.
LiveIn(john, belgium)
Uncertain
475
342
All sports cars are loud. No loud cars are electric. If a car is a Ferrari, then it is a sports car. All cars made in Maranello are Ferraris. The Toyota Prius is made in Maranello or is a loud car, or both.
∀x (SportsCar(x) → LoudCar(x)) ∀x (LoudCar(x) → ¬ElectricCar(x)) ∀x (Ferrari(x) → SportsCar(x)) ∀x ((Car(x) ∧ MadeIn(x, maranello)) → Ferrari(x)) (Car(toyotaPrius) ∧ MadeIn(toyotaPrius, maranello)) ∨ LoudCar(toyotaPrius)
Prius is an electric car.
ElectricCar(toyotaPrius)
False
900
342
All sports cars are loud. No loud cars are electric. If a car is a Ferrari, then it is a sports car. All cars made in Maranello are Ferraris. The Toyota Prius is made in Maranello or is a loud car, or both.
∀x (SportsCar(x) → LoudCar(x)) ∀x (LoudCar(x) → ¬ElectricCar(x)) ∀x (Ferrari(x) → SportsCar(x)) ∀x ((Car(x) ∧ MadeIn(x, maranello)) → Ferrari(x)) (Car(toyotaPrius) ∧ MadeIn(toyotaPrius, maranello)) ∨ LoudCar(toyotaPrius)
The Toyota Prius is not an electric car.
¬ElectricCar(toyotaPrius)
True
901
342
All sports cars are loud. No loud cars are electric. If a car is a Ferrari, then it is a sports car. All cars made in Maranello are Ferraris. The Toyota Prius is made in Maranello or is a loud car, or both.
∀x (SportsCar(x) → LoudCar(x)) ∀x (LoudCar(x) → ¬ElectricCar(x)) ∀x (Ferrari(x) → SportsCar(x)) ∀x ((Car(x) ∧ MadeIn(x, maranello)) → Ferrari(x)) (Car(toyotaPrius) ∧ MadeIn(toyotaPrius, maranello)) ∨ LoudCar(toyotaPrius)
The Toyota Prius is a equipped with a Ferrari V12 engine.
MadeIn(toyotaPrius, maranello)
Uncertain
902
342
All sports cars are loud. No loud cars are electric. If a car is a Ferrari, then it is a sports car. All cars made in Maranello are Ferraris. The Toyota Prius is made in Maranello or is a loud car, or both.
∀x (SportsCar(x) → LoudCar(x)) ∀x (LoudCar(x) → ¬ElectricCar(x)) ∀x (Ferrari(x) → SportsCar(x)) ∀x ((Car(x) ∧ MadeIn(x, maranello)) → Ferrari(x)) (Car(toyotaPrius) ∧ MadeIn(toyotaPrius, maranello)) ∨ LoudCar(toyotaPrius)
If The Toyota Prius is a Ferrari or a loud car, then The Toyota Prius is an electric car.
Ferrari(toyotaPrius) ∨ LoudCar(toyotaPrius) → ElectricCar(toyotaPrius)
False
903
446
If something is a plant, then it is not a cute animal. Simeng: All plants are not cute animals. All flowers are plants. Every kitten is a cute animal. If something is grown in a garden, then it is a flower. Piper is a kitten or a cute animal.
∀x (Plant(x) → ¬CuteAnimal(x)) ∀x (Flower(x) → Plant(x)) ∀x (Kitten(x) → CuteAnimal(x)) ∀x (GrownIn(x, garden) → Flower(x)) Kitten(piper) ∨ CuteAnimal(piper)
Piper was grown in a garden.
GrownIn(piper, garden)
False
1,283
446
If something is a plant, then it is not a cute animal. Simeng: All plants are not cute animals. All flowers are plants. Every kitten is a cute animal. If something is grown in a garden, then it is a flower. Piper is a kitten or a cute animal.
∀x (Plant(x) → ¬CuteAnimal(x)) ∀x (Flower(x) → Plant(x)) ∀x (Kitten(x) → CuteAnimal(x)) ∀x (GrownIn(x, garden) → Flower(x)) Kitten(piper) ∨ CuteAnimal(piper)
Piper was not grown in a garden.
¬GrownIn(piper, garden)
True
1,284
446
If something is a plant, then it is not a cute animal. Simeng: All plants are not cute animals. All flowers are plants. Every kitten is a cute animal. If something is grown in a garden, then it is a flower. Piper is a kitten or a cute animal.
∀x (Plant(x) → ¬CuteAnimal(x)) ∀x (Flower(x) → Plant(x)) ∀x (Kitten(x) → CuteAnimal(x)) ∀x (GrownIn(x, garden) → Flower(x)) Kitten(piper) ∨ CuteAnimal(piper)
Piper is a kitten.
Kitten(piper)
Uncertain
1,285
149
Guam sent an athlete to the Calgary Winter Olympics. If Guan sent an athlete to the Calgary Winter Olympics, then the athelete participated in the Olympics in 1988. Judd Bankert is the only athlete from Guam who has ever competed in the Winter Olympics.
∃x (Send(guam, athlete, calgaryWinterOlympics)) ∀x (Athlete(x) ∧ SendTo(guam, x, calgaryWinterOlympics) → ParticipatedIn(x, winterOlympics, year1988)) ∀x ∀y (Athlete(x) ∧ From(x, guam) ∧ ParticipatedIn(x, winterOlympics, y) → x=juddBankert)
Judd Bankert competed in the 1988 Winter Olympics.
ParticipatedIn(juddBankert, winterOlympics, year1988)
True
435
149
Guam sent an athlete to the Calgary Winter Olympics. If Guan sent an athlete to the Calgary Winter Olympics, then the athelete participated in the Olympics in 1988. Judd Bankert is the only athlete from Guam who has ever competed in the Winter Olympics.
∃x (Send(guam, athlete, calgaryWinterOlympics)) ∀x (Athlete(x) ∧ SendTo(guam, x, calgaryWinterOlympics) → ParticipatedIn(x, winterOlympics, year1988)) ∀x ∀y (Athlete(x) ∧ From(x, guam) ∧ ParticipatedIn(x, winterOlympics, y) → x=juddBankert)
Guam has participated in the Summer Olympics at least once.
∃x (ParticipatedIn(guam, summerOlympics, x))
Uncertain
436
70
Michael O'Donnell is a British physician, journalist, author, and broadcaster. One of the word-setters of My Word! was Michael O'Donnell. The magazine World Medicine was edited by Michael O'Donnell. Michael O'Donnell was born in Yorkshire as the son of a general practitioner.
British(michael) ∧ Physician(michael) ∧ Journalist(michael) ∧ Author(michael) ∧ Broadcaster(michael) WordSetter(michael) Magazine(worldMedicine) ∧ EditedBy(worldMedicine, michael) BornIn(michael, yorkshire) ∧ ∃x(SonOf(michael, x) ∧ GeneralPractitioner(x))
The son of a general practitioner was a word-setter of My Word!.
∃x ∃y (SonOf(x, y) ∧ GeneralPractitioner(y) ∧ WordSetter(x))
True
208
70
Michael O'Donnell is a British physician, journalist, author, and broadcaster. One of the word-setters of My Word! was Michael O'Donnell. The magazine World Medicine was edited by Michael O'Donnell. Michael O'Donnell was born in Yorkshire as the son of a general practitioner.
British(michael) ∧ Physician(michael) ∧ Journalist(michael) ∧ Author(michael) ∧ Broadcaster(michael) WordSetter(michael) Magazine(worldMedicine) ∧ EditedBy(worldMedicine, michael) BornIn(michael, yorkshire) ∧ ∃x(SonOf(michael, x) ∧ GeneralPractitioner(x))
World Medicine is not a magazine.
¬Magazine(worldmedicine)
False
209
70
Michael O'Donnell is a British physician, journalist, author, and broadcaster. One of the word-setters of My Word! was Michael O'Donnell. The magazine World Medicine was edited by Michael O'Donnell. Michael O'Donnell was born in Yorkshire as the son of a general practitioner.
British(michael) ∧ Physician(michael) ∧ Journalist(michael) ∧ Author(michael) ∧ Broadcaster(michael) WordSetter(michael) Magazine(worldMedicine) ∧ EditedBy(worldMedicine, michael) BornIn(michael, yorkshire) ∧ ∃x(SonOf(michael, x) ∧ GeneralPractitioner(x))
There are no British authors.
∀x (British(x) → ¬Author(x))
False
210
70
Michael O'Donnell is a British physician, journalist, author, and broadcaster. One of the word-setters of My Word! was Michael O'Donnell. The magazine World Medicine was edited by Michael O'Donnell. Michael O'Donnell was born in Yorkshire as the son of a general practitioner.
British(michael) ∧ Physician(michael) ∧ Journalist(michael) ∧ Author(michael) ∧ Broadcaster(michael) WordSetter(michael) Magazine(worldMedicine) ∧ EditedBy(worldMedicine, michael) BornIn(michael, yorkshire) ∧ ∃x(SonOf(michael, x) ∧ GeneralPractitioner(x))
There are no journalists that were born in Yorkshire.
∀x (Journalist(x) → ¬BornIn(x, yorkshire))
False
211
70
Michael O'Donnell is a British physician, journalist, author, and broadcaster. One of the word-setters of My Word! was Michael O'Donnell. The magazine World Medicine was edited by Michael O'Donnell. Michael O'Donnell was born in Yorkshire as the son of a general practitioner.
British(michael) ∧ Physician(michael) ∧ Journalist(michael) ∧ Author(michael) ∧ Broadcaster(michael) WordSetter(michael) Magazine(worldMedicine) ∧ EditedBy(worldMedicine, michael) BornIn(michael, yorkshire) ∧ ∃x(SonOf(michael, x) ∧ GeneralPractitioner(x))
There is a son of a general practitioner that is not an author.
∃x ∃y (Son(x, y) ∧ GeneralPractitioner(y) ∧ ¬Author(x))
Uncertain
212
255
No homework is fun. Some reading is homework.
∀x (Homework(x) → ¬Fun(x)) ∃x (Reading(x) ∧ Homework(x))
Some reading is fun.
∃x (Reading(x) ∧ Fun(x))
Uncertain
699
298
The handbrake of a car is either up or down. The handbrake is down when a car is parked.
∀x ∀y (HandbrakeOf(x, y) ∧ Car(y) → Up(x) ⊕ Down(x)) ∀x ∀y (HandbrakeOf(x, y) ∧ Parked(y) ∧ Car(y) → Down(x))
The handbrake is up when some cars are parked.
∃x ∃y (HandbrakeOf(x, y) ∧ Parked(y) ∧ Car(y) ∧ Up(x))
False
742
382
All people in this midwest town who own horse ranches regularly ride horses for pleasure and sport. All people in this midwest town with a lot of disposable income have a horse ranch. If people in this midwest town compete in horse dressage shows, then they have a lot of disposable income. If people in this midwest town compete in horse dressage shows, then they have invested in high-quality equestrian gear and equipment. If people in this midwest town regularly ride horses for pleasure and sport, then they do not live in cramped residential buildings. Manny is in this midwest town, and she either has a horse ranch and lives in a cramped residential building, or she does neither.
∀x (InThisMidwestTown(x) ∧ Have(x, horseRanch) → RegularlyRideHorseForPleasure(x)) ∀x (InThisMidwestTown(x) ∧ Have(x, disposableIncome) → Have(x, horseRank)) ∀x (InThisMidwestTown(x) ∧ CompeteIn(x, horseDressageShow) → Have(x, disposableIncome)) ∀x (InThisMidwestTown(x) ∧ CompeteIn(x, horseDressageShow) → InvestedIn(x, equestrianGearAndEquipment)) ∀x (InThisMidwestTown(x) ∧ RegularlyRideHorseForPleasure(x) → ¬LiveIn(x, crampedBuilding)) InThisMidwestTown(manny) ∧ ¬(Have(manny, horseRanch) ⊕ LiveIn(manny, crampedBuilding))
Manny regularly rides horses for pleasure and sport.
RegularlyRideHorsesForPleasure(manny)
Uncertain
1,020
382
All people in this midwest town who own horse ranches regularly ride horses for pleasure and sport. All people in this midwest town with a lot of disposable income have a horse ranch. If people in this midwest town compete in horse dressage shows, then they have a lot of disposable income. If people in this midwest town compete in horse dressage shows, then they have invested in high-quality equestrian gear and equipment. If people in this midwest town regularly ride horses for pleasure and sport, then they do not live in cramped residential buildings. Manny is in this midwest town, and she either has a horse ranch and lives in a cramped residential building, or she does neither.
∀x (InThisMidwestTown(x) ∧ Have(x, horseRanch) → RegularlyRideHorseForPleasure(x)) ∀x (InThisMidwestTown(x) ∧ Have(x, disposableIncome) → Have(x, horseRank)) ∀x (InThisMidwestTown(x) ∧ CompeteIn(x, horseDressageShow) → Have(x, disposableIncome)) ∀x (InThisMidwestTown(x) ∧ CompeteIn(x, horseDressageShow) → InvestedIn(x, equestrianGearAndEquipment)) ∀x (InThisMidwestTown(x) ∧ RegularlyRideHorseForPleasure(x) → ¬LiveIn(x, crampedBuilding)) InThisMidwestTown(manny) ∧ ¬(Have(manny, horseRanch) ⊕ LiveIn(manny, crampedBuilding))
Manny competes in horse dressage shows and has invested in high-quality equestrian equipment and gear.
CompeteIn(manny, horseDressageShow) ∧ InvestedIn(manny, equestrianGearAndEquipment)
False
1,021
382
All people in this midwest town who own horse ranches regularly ride horses for pleasure and sport. All people in this midwest town with a lot of disposable income have a horse ranch. If people in this midwest town compete in horse dressage shows, then they have a lot of disposable income. If people in this midwest town compete in horse dressage shows, then they have invested in high-quality equestrian gear and equipment. If people in this midwest town regularly ride horses for pleasure and sport, then they do not live in cramped residential buildings. Manny is in this midwest town, and she either has a horse ranch and lives in a cramped residential building, or she does neither.
∀x (InThisMidwestTown(x) ∧ Have(x, horseRanch) → RegularlyRideHorseForPleasure(x)) ∀x (InThisMidwestTown(x) ∧ Have(x, disposableIncome) → Have(x, horseRank)) ∀x (InThisMidwestTown(x) ∧ CompeteIn(x, horseDressageShow) → Have(x, disposableIncome)) ∀x (InThisMidwestTown(x) ∧ CompeteIn(x, horseDressageShow) → InvestedIn(x, equestrianGearAndEquipment)) ∀x (InThisMidwestTown(x) ∧ RegularlyRideHorseForPleasure(x) → ¬LiveIn(x, crampedBuilding)) InThisMidwestTown(manny) ∧ ¬(Have(manny, horseRanch) ⊕ LiveIn(manny, crampedBuilding))
If Manny either has a horse ranch or competes in horse dressage shows, then Manny has not invested in high-quality equestrian equipment and gear.
¬(HaveAHorseRanch(manny) ⊕ CompeteIn(manny, horseDressageShow)) → ¬InvestedIn(manny, equestrianGearAndEquipment)
True
1,022
54
A roundel is a rounded artillery fortification. A roundel is not higher than adjacent walls. Cannons can be deployed on artillery fortifications. Roundels are the oldest artillery fortifications. Battery towers are artillery fortifications.
∀x (Roundel(x) → (Rounded(x) ∧ ArtilleryFortification(x))) ∀x ∀y ((Roundel(x) ∧ AdjacentWalls(x,y)) → ¬Higher(x, y)) ∀x (ArtilleryFortification(x) → DeployCannons(x)) ∀x ∀y ((Roundel(x) ∧ ArtilleryFortification(y)) → Older(x, y)) ∀x (BatteryTower(x) → ArtilleryFortification(x))
Cannons can be deployed on battery towers.
∀x (BatteryTower(x) → DeployCannons(x))
True
158
54
A roundel is a rounded artillery fortification. A roundel is not higher than adjacent walls. Cannons can be deployed on artillery fortifications. Roundels are the oldest artillery fortifications. Battery towers are artillery fortifications.
∀x (Roundel(x) → (Rounded(x) ∧ ArtilleryFortification(x))) ∀x ∀y ((Roundel(x) ∧ AdjacentWalls(x,y)) → ¬Higher(x, y)) ∀x (ArtilleryFortification(x) → DeployCannons(x)) ∀x ∀y ((Roundel(x) ∧ ArtilleryFortification(y)) → Older(x, y)) ∀x (BatteryTower(x) → ArtilleryFortification(x))
Roundels are older than battery towers.
∀x ∀y ((Roundel(x) ∧ BatteryTower(y)) → Older(x, y))
True
159
54
A roundel is a rounded artillery fortification. A roundel is not higher than adjacent walls. Cannons can be deployed on artillery fortifications. Roundels are the oldest artillery fortifications. Battery towers are artillery fortifications.
∀x (Roundel(x) → (Rounded(x) ∧ ArtilleryFortification(x))) ∀x ∀y ((Roundel(x) ∧ AdjacentWalls(x,y)) → ¬Higher(x, y)) ∀x (ArtilleryFortification(x) → DeployCannons(x)) ∀x ∀y ((Roundel(x) ∧ ArtilleryFortification(y)) → Older(x, y)) ∀x (BatteryTower(x) → ArtilleryFortification(x))
Battery towers are higher than adjacent walls.
∀x ∀y ((BatteryTower(x) ∧ AdjacentWall(x,y)) → Higher(x, y))
Uncertain
160
54
A roundel is a rounded artillery fortification. A roundel is not higher than adjacent walls. Cannons can be deployed on artillery fortifications. Roundels are the oldest artillery fortifications. Battery towers are artillery fortifications.
∀x (Roundel(x) → (Rounded(x) ∧ ArtilleryFortification(x))) ∀x ∀y ((Roundel(x) ∧ AdjacentWalls(x,y)) → ¬Higher(x, y)) ∀x (ArtilleryFortification(x) → DeployCannons(x)) ∀x ∀y ((Roundel(x) ∧ ArtilleryFortification(y)) → Older(x, y)) ∀x (BatteryTower(x) → ArtilleryFortification(x))
Cannons can be deployed on roundels.
∀x (Roundel(x) → DeployCannons(x))
True
161
288
Tissues are soft. Some papers are tissues.
∀x (Tissue(x) → Soft(x)) ∃x ∃y (Paper(x) ∧ Paper(x) ∧ Tissue(x) ∧ Tissue(y) ∧ ¬(x=y))
Some papers are hard.
∃x ∃y (Paper(x) ∧ Paper(y) ∧ Hard(x) ∧ Hard(y) ∧ ¬(x=y))
Uncertain
732
169
All volunteers receive intangible benefits for their work. Volunteers work regularly or on an as-needed basis. Some volunteers are trained. Volunteers work in groups or individually. Environmental volunteers contribute toward environmental management or conservation. Participating in natural disaster response is an example of volunteers working in groups on an as-needed basis.
∀x (Volunteer(x) → Receive(x, intangibleBenefit)) ∀x (Volunteer(x) → WorkRegularly(x) ⊕ WorkAsNeeded(x)) ∃x (Volunteer(x) → Trained(x)) ∀x (Volunteer(x) → (WorkInGroup(x) ∨ WorkIndividually(x))) ∀x (Volunteer(x) ∧ Environmental(x) → (ContributeTo(x, environmentalManagement) ∨ ContributeTo(x, environmentalConservation))) ∃x (Volunteer(x) ∧ ContributeTo(x, naturalDisasterResponse) → WorkInGroup(x) ∧ WorkAsNeeded(x))
Volunteers who participate in natural disaster response receive intangible benefits for their work.
∀x (Volunteer(x) ∧ ContributeTo(x, naturalDisasterResponse) → Receive(x, intangibleBenefit))
True
485
169
All volunteers receive intangible benefits for their work. Volunteers work regularly or on an as-needed basis. Some volunteers are trained. Volunteers work in groups or individually. Environmental volunteers contribute toward environmental management or conservation. Participating in natural disaster response is an example of volunteers working in groups on an as-needed basis.
∀x (Volunteer(x) → Receive(x, intangibleBenefit)) ∀x (Volunteer(x) → WorkRegularly(x) ⊕ WorkAsNeeded(x)) ∃x (Volunteer(x) → Trained(x)) ∀x (Volunteer(x) → (WorkInGroup(x) ∨ WorkIndividually(x))) ∀x (Volunteer(x) ∧ Environmental(x) → (ContributeTo(x, environmentalManagement) ∨ ContributeTo(x, environmentalConservation))) ∃x (Volunteer(x) ∧ ContributeTo(x, naturalDisasterResponse) → WorkInGroup(x) ∧ WorkAsNeeded(x))
Environmental volunteers work in groups.
∀x (Volunteer(x) ∧ Environmental(x) → WorkInGroup(x))
Uncertain
486
169
All volunteers receive intangible benefits for their work. Volunteers work regularly or on an as-needed basis. Some volunteers are trained. Volunteers work in groups or individually. Environmental volunteers contribute toward environmental management or conservation. Participating in natural disaster response is an example of volunteers working in groups on an as-needed basis.
∀x (Volunteer(x) → Receive(x, intangibleBenefit)) ∀x (Volunteer(x) → WorkRegularly(x) ⊕ WorkAsNeeded(x)) ∃x (Volunteer(x) → Trained(x)) ∀x (Volunteer(x) → (WorkInGroup(x) ∨ WorkIndividually(x))) ∀x (Volunteer(x) ∧ Environmental(x) → (ContributeTo(x, environmentalManagement) ∨ ContributeTo(x, environmentalConservation))) ∃x (Volunteer(x) ∧ ContributeTo(x, naturalDisasterResponse) → WorkInGroup(x) ∧ WorkAsNeeded(x))
To be a volunteer, you must be trained.
∀x (Volunteer(x) → Trained(x))
Uncertain
487
376
All people in this tech company who are consistent and enjoy sticking to their regular routines do not like surprises. People in this tech company who wear the same flannel shirts every day are consistent and enjoy sticking to their regular routines. People in this tech company who do not like shopping for clothes wear the same flannel shirts every day. Old people living in stable homes do not like surprises. People in this tech company who have very high energy and are impulsive like surprises. Mike works in this tech company. If Mike is not a person who wears the same flannel shirts every day, has very high energy, and is impulsive, then Mike either is very consistent and enjoys sticking to his regular routines or does not like surprises.
∀x (InThisTechCompany(x) ∧ Consistent(x) ∧ StickTo(x, theirRegularRoutine) → ¬Like(x, surprise)) ∀x (InThisTechCompany(x) ∧ ∃y (flannelShirt(y) ∧ WearEveryday(x, y)) → Consistent(x) ∧ StickTo(x, theirRegularRoutine)) ∀x (InThisTechCompany(x) ∧ ¬LikeShoppingFor(x, clothes) → ∃y (flannelShirt(y) ∧ WearEveryday(x, y))) ∀x (InThisTechCompany(x) ∧ Old(x) ∧ LiveIn(x, stableHome) → ¬Like(x, surprise)) ∀x (InThisTechCompany(x) ∧ Have(x, highEnergy) ∧ Impulsive(x) → ¬Like(x, surprise)) InThisTechCompany(mike) ¬(∃y (flannelShirt(y) ∧ WearEveryday(x, y)) ∧ Have(mike, highEnergy) ∧ Impulsive(mike)) → (Consistent(mike) ∧ StickTo(mike, theirRegularRoutine)) ⊕ ¬Like(mike, surprise)
Mike is an old person living in a stable home.
Old(mike) ∧ LiveIn(mike, stableHome)
Uncertain
1,002
376
All people in this tech company who are consistent and enjoy sticking to their regular routines do not like surprises. People in this tech company who wear the same flannel shirts every day are consistent and enjoy sticking to their regular routines. People in this tech company who do not like shopping for clothes wear the same flannel shirts every day. Old people living in stable homes do not like surprises. People in this tech company who have very high energy and are impulsive like surprises. Mike works in this tech company. If Mike is not a person who wears the same flannel shirts every day, has very high energy, and is impulsive, then Mike either is very consistent and enjoys sticking to his regular routines or does not like surprises.
∀x (InThisTechCompany(x) ∧ Consistent(x) ∧ StickTo(x, theirRegularRoutine) → ¬Like(x, surprise)) ∀x (InThisTechCompany(x) ∧ ∃y (flannelShirt(y) ∧ WearEveryday(x, y)) → Consistent(x) ∧ StickTo(x, theirRegularRoutine)) ∀x (InThisTechCompany(x) ∧ ¬LikeShoppingFor(x, clothes) → ∃y (flannelShirt(y) ∧ WearEveryday(x, y))) ∀x (InThisTechCompany(x) ∧ Old(x) ∧ LiveIn(x, stableHome) → ¬Like(x, surprise)) ∀x (InThisTechCompany(x) ∧ Have(x, highEnergy) ∧ Impulsive(x) → ¬Like(x, surprise)) InThisTechCompany(mike) ¬(∃y (flannelShirt(y) ∧ WearEveryday(x, y)) ∧ Have(mike, highEnergy) ∧ Impulsive(mike)) → (Consistent(mike) ∧ StickTo(mike, theirRegularRoutine)) ⊕ ¬Like(mike, surprise)
If Mike wears the same flannel shirts every day or does not like shopping for clothes, then Mike is neither an old person living in a stable home nor does he like shopping for clothes.
(∃y (flannelShirt(y) ∧ WearEveryday(mike, y)) ∨ ¬LikeShoppingFor(mike, clothes)) → ¬(Old(mike) ∧ LiveIn(mike, stableHome)) ∧ ¬LikeShoppingFor(mike, clothes)
True
1,003
376
All people in this tech company who are consistent and enjoy sticking to their regular routines do not like surprises. People in this tech company who wear the same flannel shirts every day are consistent and enjoy sticking to their regular routines. People in this tech company who do not like shopping for clothes wear the same flannel shirts every day. Old people living in stable homes do not like surprises. People in this tech company who have very high energy and are impulsive like surprises. Mike works in this tech company. If Mike is not a person who wears the same flannel shirts every day, has very high energy, and is impulsive, then Mike either is very consistent and enjoys sticking to his regular routines or does not like surprises.
∀x (InThisTechCompany(x) ∧ Consistent(x) ∧ StickTo(x, theirRegularRoutine) → ¬Like(x, surprise)) ∀x (InThisTechCompany(x) ∧ ∃y (flannelShirt(y) ∧ WearEveryday(x, y)) → Consistent(x) ∧ StickTo(x, theirRegularRoutine)) ∀x (InThisTechCompany(x) ∧ ¬LikeShoppingFor(x, clothes) → ∃y (flannelShirt(y) ∧ WearEveryday(x, y))) ∀x (InThisTechCompany(x) ∧ Old(x) ∧ LiveIn(x, stableHome) → ¬Like(x, surprise)) ∀x (InThisTechCompany(x) ∧ Have(x, highEnergy) ∧ Impulsive(x) → ¬Like(x, surprise)) InThisTechCompany(mike) ¬(∃y (flannelShirt(y) ∧ WearEveryday(x, y)) ∧ Have(mike, highEnergy) ∧ Impulsive(mike)) → (Consistent(mike) ∧ StickTo(mike, theirRegularRoutine)) ⊕ ¬Like(mike, surprise)
If Mike is not an old person living in a stable home and does not like shopping for clothes, then Mike does not like shopping for clothes.
¬(Old(mike) ∧ LiveIn(mike, stableHome)) ∧ ¬LikeShoppingFor(mike, clothes)) → ¬LikeShoppingFor(mike, clothes)
False
1,004
215
Adam owns cars. Adam has a favorite car. Among the cars he owns, Adam's favorite car is European. Adam broke his favorite car.
∃x∃y (Car(x) ∧ Car(y) ∧ (x≠y) ∧ Owns(adam, x)) ∃x (Car(x) ∧ Favorite(adam, x)) ∀x ((Car(x) ∧ Owns(adam, x) ∧ Favorite(adam, x)) → European(x)) ∀x ((Car(x) ∧ Owns(adam, x) ∧ Favorite(adam, x)) → Broke(adam, x))
Adam owns a Japanese car.
∃x (Japanese(x) ∧ Owns(adam, x))
Uncertain
615
215
Adam owns cars. Adam has a favorite car. Among the cars he owns, Adam's favorite car is European. Adam broke his favorite car.
∃x∃y (Car(x) ∧ Car(y) ∧ (x≠y) ∧ Owns(adam, x)) ∃x (Car(x) ∧ Favorite(adam, x)) ∀x ((Car(x) ∧ Owns(adam, x) ∧ Favorite(adam, x)) → European(x)) ∀x ((Car(x) ∧ Owns(adam, x) ∧ Favorite(adam, x)) → Broke(adam, x))
Adam broke a European car.
∃x (European(x) ∧ Broke(adam, x))
True
616
433
There are no buildings in New Haven higher than 400 meters. All buildings managed by Yale Housing are in New Haven. All Manhattan skyscrapers are higher than 400 meters. All buildings owned by Bloomberg are in Manhattan. All buildings with the Bloomberg logo are buildings owned by Bloomberg. Tower A is neither a building in New Haven nor a skyscraper in Manhattan. Tower B is a skyscraper building in Manhattan with a Bloomberg logo.
∀x ((Buildings(x) ∧ In(x, newHaven)) → ¬HigherThan(x, num400)) ∀x ((Buildings(x) ∧ ManagedBy(x, yaleHousing)) → In(x, newHaven)) ∀x ((Buildings(x) ∧ Skyscraper(x) ∧ In(x, manhattan)) → HigherThan(x, num400)) ∀x ((Buildings(x) ∧ OwnedBy(x, bloomberg)) → Skyscraper(x) ∧ In(x, manhattan)) ∀x ((Buildings(x) ∧ HasLogo(x, bloomberg)) → OwnedBy(x, bloomberg)) Buildings(towerA) ∧ (¬InNewHaven(towerA)) ∧ (¬ManhattanSkyscraper(towerA)) Buildings(towerB) ∧ HasLogo(towerB, bloomberg) ∧ Skyscraper(towerB) ∧ In(towerB, manhattan)
Tower A is higher than 400 meters.
HigherThan(towerA, num400)
Uncertain
1,235
433
There are no buildings in New Haven higher than 400 meters. All buildings managed by Yale Housing are in New Haven. All Manhattan skyscrapers are higher than 400 meters. All buildings owned by Bloomberg are in Manhattan. All buildings with the Bloomberg logo are buildings owned by Bloomberg. Tower A is neither a building in New Haven nor a skyscraper in Manhattan. Tower B is a skyscraper building in Manhattan with a Bloomberg logo.
∀x ((Buildings(x) ∧ In(x, newHaven)) → ¬HigherThan(x, num400)) ∀x ((Buildings(x) ∧ ManagedBy(x, yaleHousing)) → In(x, newHaven)) ∀x ((Buildings(x) ∧ Skyscraper(x) ∧ In(x, manhattan)) → HigherThan(x, num400)) ∀x ((Buildings(x) ∧ OwnedBy(x, bloomberg)) → Skyscraper(x) ∧ In(x, manhattan)) ∀x ((Buildings(x) ∧ HasLogo(x, bloomberg)) → OwnedBy(x, bloomberg)) Buildings(towerA) ∧ (¬InNewHaven(towerA)) ∧ (¬ManhattanSkyscraper(towerA)) Buildings(towerB) ∧ HasLogo(towerB, bloomberg) ∧ Skyscraper(towerB) ∧ In(towerB, manhattan)
Tower A is not higher than 400 meters.
¬HigherThan(towerA, num400)
Uncertain
1,236
433
There are no buildings in New Haven higher than 400 meters. All buildings managed by Yale Housing are in New Haven. All Manhattan skyscrapers are higher than 400 meters. All buildings owned by Bloomberg are in Manhattan. All buildings with the Bloomberg logo are buildings owned by Bloomberg. Tower A is neither a building in New Haven nor a skyscraper in Manhattan. Tower B is a skyscraper building in Manhattan with a Bloomberg logo.
∀x ((Buildings(x) ∧ In(x, newHaven)) → ¬HigherThan(x, num400)) ∀x ((Buildings(x) ∧ ManagedBy(x, yaleHousing)) → In(x, newHaven)) ∀x ((Buildings(x) ∧ Skyscraper(x) ∧ In(x, manhattan)) → HigherThan(x, num400)) ∀x ((Buildings(x) ∧ OwnedBy(x, bloomberg)) → Skyscraper(x) ∧ In(x, manhattan)) ∀x ((Buildings(x) ∧ HasLogo(x, bloomberg)) → OwnedBy(x, bloomberg)) Buildings(towerA) ∧ (¬InNewHaven(towerA)) ∧ (¬ManhattanSkyscraper(towerA)) Buildings(towerB) ∧ HasLogo(towerB, bloomberg) ∧ Skyscraper(towerB) ∧ In(towerB, manhattan)
Tower A is a building with the Bloomberg logo or it is managed by Yale Housing.
HasLogo(towerB, bloomberg) ∨ ManagedBy(x, yaleHousing)
False
1,237
433
There are no buildings in New Haven higher than 400 meters. All buildings managed by Yale Housing are in New Haven. All Manhattan skyscrapers are higher than 400 meters. All buildings owned by Bloomberg are in Manhattan. All buildings with the Bloomberg logo are buildings owned by Bloomberg. Tower A is neither a building in New Haven nor a skyscraper in Manhattan. Tower B is a skyscraper building in Manhattan with a Bloomberg logo.
∀x ((Buildings(x) ∧ In(x, newHaven)) → ¬HigherThan(x, num400)) ∀x ((Buildings(x) ∧ ManagedBy(x, yaleHousing)) → In(x, newHaven)) ∀x ((Buildings(x) ∧ Skyscraper(x) ∧ In(x, manhattan)) → HigherThan(x, num400)) ∀x ((Buildings(x) ∧ OwnedBy(x, bloomberg)) → Skyscraper(x) ∧ In(x, manhattan)) ∀x ((Buildings(x) ∧ HasLogo(x, bloomberg)) → OwnedBy(x, bloomberg)) Buildings(towerA) ∧ (¬InNewHaven(towerA)) ∧ (¬ManhattanSkyscraper(towerA)) Buildings(towerB) ∧ HasLogo(towerB, bloomberg) ∧ Skyscraper(towerB) ∧ In(towerB, manhattan)
Tower A is neither a building with the Bloomberg logo nor managed by Yale Housing.
¬HasLogo(towerB, bloomberg) ∧ (¬ManagedBy(x, yaleHousing))
True
1,238
439
No fish are birds. An osprey is a bird. A carp is a fish. All goldfish are carp. If Bubbles is either an osprey or a goldfish, then Bubbles is not also a fish.
∀x (Fish(x) → ¬Bird(x)) ∀x (Osprey(x) → Bird(x)) ∀x (Carp(x) → Fish(x)) ∀x (Goldfish(x) → Carp(x)) Osprey(bubbles) ⊕ Goldfish(bubbles) → ¬Fish(bubbles)
Bubbles is an Osprey.
Osprey(bubbles)
Uncertain
1,261
439
No fish are birds. An osprey is a bird. A carp is a fish. All goldfish are carp. If Bubbles is either an osprey or a goldfish, then Bubbles is not also a fish.
∀x (Fish(x) → ¬Bird(x)) ∀x (Osprey(x) → Bird(x)) ∀x (Carp(x) → Fish(x)) ∀x (Goldfish(x) → Carp(x)) Osprey(bubbles) ⊕ Goldfish(bubbles) → ¬Fish(bubbles)
Bubbles is a goldfish.
Goldfish(bubbles)
False
1,262
439
No fish are birds. An osprey is a bird. A carp is a fish. All goldfish are carp. If Bubbles is either an osprey or a goldfish, then Bubbles is not also a fish.
∀x (Fish(x) → ¬Bird(x)) ∀x (Osprey(x) → Bird(x)) ∀x (Carp(x) → Fish(x)) ∀x (Goldfish(x) → Carp(x)) Osprey(bubbles) ⊕ Goldfish(bubbles) → ¬Fish(bubbles)
Bubbles is not a goldfish.
¬Goldfish(bubbles)
True
1,263
158
Mr. and Mrs. Smith make a travel plan: they want to go to a city in California or Florida where neither of them has ever been. The cities in California that they are interested in are San Francisco, Los Angeles, and San Diego. Cities in Florida that they are interested in are Orlando and Miami. Mr. Smith has been to two cities in California. Mrs. Smith has been to one city in Florida.
∀x (WantToGoTo(mr.AndMrs.Smith, x) ∧ City(x) → (California(x) ∨ Florida(x)) ∧ NeverGo(x)) City(sanFrancisco) ∧ California(sanFrancisco) ∧ WantToGoTo(mr.AndMrs.Smith, sanFrancisco) ∧ City(losAngeles) ∧ California(losAngeles) ∧ WantToGoTo(mr.AndMrs.Smith, losAngeles) ∧ City(sanDiego) ∧ California(sanDiego) ∧ WantToGoTo(mr.AndMrs.Smith, sanDiego) City(orlando) ∧ Florida(orlando) ∧ WantToGo(mr.AndMrs.Smith, orlando) ∧ City(miami) ∧ Florida(miami) ∧ WantToGo(mr.AndMrs.Smith, miami) ∃x ∃y ∀z (¬(x=z) ∧ ¬(y=z) ∧ ¬(x=y) ∧ City(x) ∧ City(y) ∧ City(z) ∧ California(x) ∧ California(y) ∧ California(z) → Visit(mr.smith, x) ∧ Visit(mr.smith, y) ∧ ¬Visit(mr.smith, z)) ∃x ∀y (¬(x=y) ∧ City(x) ∧ City(y) ∧ Florida(x) ∧ Florida(y) → Visit(mrs.smith, x) ∧ ¬Visit(mrs.smith, y))
Mr. Smith has been to San Francisco.
∃x (City(x) ∧ Visit(mr.smith, sanFrancisco))
Uncertain
453
158
Mr. and Mrs. Smith make a travel plan: they want to go to a city in California or Florida where neither of them has ever been. The cities in California that they are interested in are San Francisco, Los Angeles, and San Diego. Cities in Florida that they are interested in are Orlando and Miami. Mr. Smith has been to two cities in California. Mrs. Smith has been to one city in Florida.
∀x (WantToGoTo(mr.AndMrs.Smith, x) ∧ City(x) → (California(x) ∨ Florida(x)) ∧ NeverGo(x)) City(sanFrancisco) ∧ California(sanFrancisco) ∧ WantToGoTo(mr.AndMrs.Smith, sanFrancisco) ∧ City(losAngeles) ∧ California(losAngeles) ∧ WantToGoTo(mr.AndMrs.Smith, losAngeles) ∧ City(sanDiego) ∧ California(sanDiego) ∧ WantToGoTo(mr.AndMrs.Smith, sanDiego) City(orlando) ∧ Florida(orlando) ∧ WantToGo(mr.AndMrs.Smith, orlando) ∧ City(miami) ∧ Florida(miami) ∧ WantToGo(mr.AndMrs.Smith, miami) ∃x ∃y ∀z (¬(x=z) ∧ ¬(y=z) ∧ ¬(x=y) ∧ City(x) ∧ City(y) ∧ City(z) ∧ California(x) ∧ California(y) ∧ California(z) → Visit(mr.smith, x) ∧ Visit(mr.smith, y) ∧ ¬Visit(mr.smith, z)) ∃x ∀y (¬(x=y) ∧ City(x) ∧ City(y) ∧ Florida(x) ∧ Florida(y) → Visit(mrs.smith, x) ∧ ¬Visit(mrs.smith, y))
They have at leat one candidate city in Florida to visit.
∃x (WantToGoTo(x) ∧ City(x) ∧ Florida(x))
Uncertain
454
158
Mr. and Mrs. Smith make a travel plan: they want to go to a city in California or Florida where neither of them has ever been. The cities in California that they are interested in are San Francisco, Los Angeles, and San Diego. Cities in Florida that they are interested in are Orlando and Miami. Mr. Smith has been to two cities in California. Mrs. Smith has been to one city in Florida.
∀x (WantToGoTo(mr.AndMrs.Smith, x) ∧ City(x) → (California(x) ∨ Florida(x)) ∧ NeverGo(x)) City(sanFrancisco) ∧ California(sanFrancisco) ∧ WantToGoTo(mr.AndMrs.Smith, sanFrancisco) ∧ City(losAngeles) ∧ California(losAngeles) ∧ WantToGoTo(mr.AndMrs.Smith, losAngeles) ∧ City(sanDiego) ∧ California(sanDiego) ∧ WantToGoTo(mr.AndMrs.Smith, sanDiego) City(orlando) ∧ Florida(orlando) ∧ WantToGo(mr.AndMrs.Smith, orlando) ∧ City(miami) ∧ Florida(miami) ∧ WantToGo(mr.AndMrs.Smith, miami) ∃x ∃y ∀z (¬(x=z) ∧ ¬(y=z) ∧ ¬(x=y) ∧ City(x) ∧ City(y) ∧ City(z) ∧ California(x) ∧ California(y) ∧ California(z) → Visit(mr.smith, x) ∧ Visit(mr.smith, y) ∧ ¬Visit(mr.smith, z)) ∃x ∀y (¬(x=y) ∧ City(x) ∧ City(y) ∧ Florida(x) ∧ Florida(y) → Visit(mrs.smith, x) ∧ ¬Visit(mrs.smith, y))
They have at least two candidate cities in California to visit.
∃x ∃y (¬(x=y) ∧ City(x) ∧ City(y) ∧ WantToGoTo(mr.AndMrs.Smith, x) ∧ California(x) ∧ WantToGoTo(mr.AndMrs.Smith, y) ∧ California(y))
Uncertain
455
486
Everything in Size Town is big or small. All big things in Size Town are heavy. All small things in Size Town are light. All heavy things in Size Town are still. All light things in Size Town are unstable. All unstable things in Size Town are changing. All unstable things in Size Town are unpredictable. The bird is in Size Town and it is not both heavy and still.
∀x (In(x, sizeTown) → (Big(x) ∨ Small(x))) ∀x (Big(x) ∧ In(x, sizeTown) → Heavy(x)) ∀x (Small(x) ∧ In(x, sizeTown) → Light(x)) ∀x (Heavy(x) ∧ In(x, sizeTown) → Still(x)) ∀x (Light(x) ∧ In(x, sizeTown) → Unstable(x)) ∀x (Unstable(x) ∧ In(x, sizeTown) → Changing(x)) ∀x (Unstable(x) ∧ In(x, sizeTown) → Unpredictable(x)) In(bird, sizeTown) ∧ ¬(Heavy(bird) ∧ Still(bird))
The bird is still.
Still(bird)
Uncertain
1,424
486
Everything in Size Town is big or small. All big things in Size Town are heavy. All small things in Size Town are light. All heavy things in Size Town are still. All light things in Size Town are unstable. All unstable things in Size Town are changing. All unstable things in Size Town are unpredictable. The bird is in Size Town and it is not both heavy and still.
∀x (In(x, sizeTown) → (Big(x) ∨ Small(x))) ∀x (Big(x) ∧ In(x, sizeTown) → Heavy(x)) ∀x (Small(x) ∧ In(x, sizeTown) → Light(x)) ∀x (Heavy(x) ∧ In(x, sizeTown) → Still(x)) ∀x (Light(x) ∧ In(x, sizeTown) → Unstable(x)) ∀x (Unstable(x) ∧ In(x, sizeTown) → Changing(x)) ∀x (Unstable(x) ∧ In(x, sizeTown) → Unpredictable(x)) In(bird, sizeTown) ∧ ¬(Heavy(bird) ∧ Still(bird))
The bird is not still.
¬Still(bird)
Uncertain
1,425