TPTP Problem File: CSR115+3.p
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- Solve Problem
%------------------------------------------------------------------------------
% File : CSR115+3 : TPTP v8.2.0. Released v4.0.0.
% Domain : Commonsense Reasoning
% Problem : Which British company was taken over by BMW in 1994?
% Version : [Pel09] axioms.
% English :
% Refs : [Glo07] Gloeckner (2007), University of Hagen at CLEF 2007: An
% : [PW07] Pelzer & Wernhard (2007), System Description: E-KRHype
% : [FG+08] Furbach et al. (2008), LogAnswer - A Deduction-Based Q
% : [Pel09] Pelzer (2009), Email to Geoff Sutcliffe
% Source : [Pel09]
% Names : synth_qa07_007_mira_news_1086_tptp [Pel09]
% Status : Theorem
% Rating : 0.19 v8.2.0, 0.20 v8.1.0, 0.21 v7.5.0, 0.33 v7.4.0, 0.25 v7.3.0, 0.29 v7.2.0, 0.17 v7.1.0, 0.25 v7.0.0, 0.29 v6.4.0, 0.21 v6.3.0, 0.31 v6.2.0, 0.45 v6.1.0, 0.52 v6.0.0, 0.50 v5.5.0, 0.58 v5.4.0, 0.57 v5.3.0, 0.61 v5.2.0, 0.36 v5.0.0, 0.50 v4.1.0, 0.56 v4.0.1, 0.63 v4.0.0
% Syntax : Number of formulae : 10189 (10061 unt; 0 def)
% Number of atoms : 10922 ( 0 equ)
% Maximal formula atoms : 215 ( 1 avg)
% Number of connectives : 733 ( 0 ~; 18 |; 589 &)
% ( 0 <=>; 126 =>; 0 <=; 0 <~>)
% Maximal formula depth : 215 ( 1 avg)
% Maximal term depth : 5 ( 1 avg)
% Number of predicates : 87 ( 87 usr; 0 prp; 2-10 aty)
% Number of functors : 16661 (16661 usr;16660 con; 0-2 aty)
% Number of variables : 475 ( 405 !; 70 ?)
% SPC : FOF_THM_RFO_NEQ
% Comments : The different versions of this problem stem from the use of
% different text snippet retrieval modules, and different snippets
% being found. The problem tries to prove the questions from the
% snippet and the background knowledge.
%------------------------------------------------------------------------------
%----Include LogAnswer axioms
include('Axioms/CSR004+0.ax').
%------------------------------------------------------------------------------
fof(synth_qa07_007_mira_news_1086,conjecture,
? [X0,X1,X2,X3,X4,X5,X6] :
( attr(X0,X1)
& attr(X3,X2)
& attr(X5,X6)
& obj(X4,X0)
& sub(X1,name_1_1)
& sub(X0,firma_1_1)
& sub(X2,name_1_1)
& val(X1,bmw_0)
& val(X2,bmw_0) ) ).
fof(ave07_era5_synth_qa07_007_mira_news_1086,hypothesis,
( attr(c3505,c3506)
& sub(c3505,mensch_1_1)
& sub(c3506,familiename_1_1)
& val(c3506,roll_0)
& pred(c3508,techniker__1_1)
& attr(c3510,c3511)
& sub(c3510,mensch_1_1)
& sub(c3511,familiename_1_1)
& val(c3511,royce_0)
& attr(c3590,c3591)
& sub(c3590,firma_1_1)
& sub(c3591,name_1_1)
& val(c3591,bmw_0)
& pred(c3592,experte_1_1)
& sub(c3595,fahrzeugkonzept_1_1)
& prop(c3609,britisch__1_1)
& sub(c3609,firma_1_1)
& subs(c3613,schub__1_1)
& tupl_p10(c3898,c3505,c3510,c3508,c3590,c3592,c3595,c3598,c3609,c3613)
& assoc(fahrzeugkonzept_1_1,fahrzeug__1_1)
& sub(fahrzeugkonzept_1_1,konzept__1_1)
& sort(c3505,d)
& card(c3505,int1)
& etype(c3505,int0)
& fact(c3505,real)
& gener(c3505,sp)
& quant(c3505,one)
& refer(c3505,det)
& varia(c3505,con)
& sort(c3506,na)
& card(c3506,int1)
& etype(c3506,int0)
& fact(c3506,real)
& gener(c3506,sp)
& quant(c3506,one)
& refer(c3506,indet)
& varia(c3506,varia_c)
& sort(mensch_1_1,d)
& card(mensch_1_1,int1)
& etype(mensch_1_1,int0)
& fact(mensch_1_1,real)
& gener(mensch_1_1,ge)
& quant(mensch_1_1,one)
& refer(mensch_1_1,refer_c)
& varia(mensch_1_1,varia_c)
& sort(familiename_1_1,na)
& card(familiename_1_1,int1)
& etype(familiename_1_1,int0)
& fact(familiename_1_1,real)
& gener(familiename_1_1,ge)
& quant(familiename_1_1,one)
& refer(familiename_1_1,refer_c)
& varia(familiename_1_1,varia_c)
& sort(roll_0,fe)
& sort(c3508,d)
& card(c3508,cons(x_constant,cons(int1,nil)))
& etype(c3508,int1)
& fact(c3508,real)
& gener(c3508,gener_c)
& quant(c3508,mult)
& refer(c3508,indet)
& varia(c3508,varia_c)
& sort(techniker__1_1,d)
& card(techniker__1_1,int1)
& etype(techniker__1_1,int0)
& fact(techniker__1_1,real)
& gener(techniker__1_1,ge)
& quant(techniker__1_1,one)
& refer(techniker__1_1,refer_c)
& varia(techniker__1_1,varia_c)
& sort(c3510,d)
& card(c3510,int1)
& etype(c3510,int0)
& fact(c3510,real)
& gener(c3510,sp)
& quant(c3510,one)
& refer(c3510,det)
& varia(c3510,con)
& sort(c3511,na)
& card(c3511,int1)
& etype(c3511,int0)
& fact(c3511,real)
& gener(c3511,sp)
& quant(c3511,one)
& refer(c3511,indet)
& varia(c3511,varia_c)
& sort(royce_0,fe)
& sort(c3590,d)
& sort(c3590,io)
& card(c3590,int1)
& etype(c3590,int0)
& fact(c3590,real)
& gener(c3590,sp)
& quant(c3590,one)
& refer(c3590,det)
& varia(c3590,con)
& sort(c3591,na)
& card(c3591,int1)
& etype(c3591,int0)
& fact(c3591,real)
& gener(c3591,sp)
& quant(c3591,one)
& refer(c3591,indet)
& varia(c3591,varia_c)
& sort(firma_1_1,d)
& sort(firma_1_1,io)
& card(firma_1_1,int1)
& etype(firma_1_1,int0)
& fact(firma_1_1,real)
& gener(firma_1_1,ge)
& quant(firma_1_1,one)
& refer(firma_1_1,refer_c)
& varia(firma_1_1,varia_c)
& sort(name_1_1,na)
& card(name_1_1,int1)
& etype(name_1_1,int0)
& fact(name_1_1,real)
& gener(name_1_1,ge)
& quant(name_1_1,one)
& refer(name_1_1,refer_c)
& varia(name_1_1,varia_c)
& sort(bmw_0,fe)
& sort(c3592,d)
& card(c3592,cons(x_constant,cons(int1,nil)))
& etype(c3592,int1)
& fact(c3592,real)
& gener(c3592,gener_c)
& quant(c3592,mult)
& refer(c3592,indet)
& varia(c3592,varia_c)
& sort(experte_1_1,d)
& card(experte_1_1,int1)
& etype(experte_1_1,int0)
& fact(experte_1_1,real)
& gener(experte_1_1,ge)
& quant(experte_1_1,one)
& refer(experte_1_1,refer_c)
& varia(experte_1_1,varia_c)
& sort(c3595,d)
& sort(c3595,io)
& card(c3595,int1)
& etype(c3595,int0)
& fact(c3595,real)
& gener(c3595,sp)
& quant(c3595,one)
& refer(c3595,indet)
& varia(c3595,varia_c)
& sort(fahrzeugkonzept_1_1,d)
& sort(fahrzeugkonzept_1_1,io)
& card(fahrzeugkonzept_1_1,int1)
& etype(fahrzeugkonzept_1_1,int0)
& fact(fahrzeugkonzept_1_1,real)
& gener(fahrzeugkonzept_1_1,ge)
& quant(fahrzeugkonzept_1_1,one)
& refer(fahrzeugkonzept_1_1,refer_c)
& varia(fahrzeugkonzept_1_1,varia_c)
& sort(c3609,d)
& sort(c3609,io)
& card(c3609,int1)
& etype(c3609,int0)
& fact(c3609,real)
& gener(c3609,sp)
& quant(c3609,one)
& refer(c3609,det)
& varia(c3609,con)
& sort(britisch__1_1,nq)
& sort(c3613,ad)
& card(c3613,int1)
& etype(c3613,int0)
& fact(c3613,real)
& gener(c3613,gener_c)
& quant(c3613,one)
& refer(c3613,refer_c)
& varia(c3613,varia_c)
& sort(schub__1_1,ad)
& card(schub__1_1,int1)
& etype(schub__1_1,int0)
& fact(schub__1_1,real)
& gener(schub__1_1,ge)
& quant(schub__1_1,one)
& refer(schub__1_1,refer_c)
& varia(schub__1_1,varia_c)
& sort(c3898,ent)
& card(c3898,card_c)
& etype(c3898,etype_c)
& fact(c3898,real)
& gener(c3898,gener_c)
& quant(c3898,quant_c)
& refer(c3898,refer_c)
& varia(c3898,varia_c)
& sort(c3598,o)
& card(c3598,int1)
& etype(c3598,int0)
& fact(c3598,real)
& gener(c3598,sp)
& quant(c3598,one)
& refer(c3598,det)
& varia(c3598,varia_c)
& sort(fahrzeug__1_1,d)
& card(fahrzeug__1_1,int1)
& etype(fahrzeug__1_1,int0)
& fact(fahrzeug__1_1,real)
& gener(fahrzeug__1_1,ge)
& quant(fahrzeug__1_1,one)
& refer(fahrzeug__1_1,refer_c)
& varia(fahrzeug__1_1,varia_c)
& sort(konzept__1_1,d)
& sort(konzept__1_1,io)
& card(konzept__1_1,int1)
& etype(konzept__1_1,int0)
& fact(konzept__1_1,real)
& gener(konzept__1_1,ge)
& quant(konzept__1_1,one)
& refer(konzept__1_1,refer_c)
& varia(konzept__1_1,varia_c) ) ).
%------------------------------------------------------------------------------