TPTP Problem File: CSR115+9.p
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- Solve Problem
%------------------------------------------------------------------------------
% File : CSR115+9 : 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_1106_a19984_tptp [Pel09]
% Status : Theorem
% Rating : 0.19 v8.2.0, 0.20 v8.1.0, 0.21 v7.5.0, 0.38 v7.4.0, 0.31 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, 0.64 v6.0.0, 0.50 v5.5.0, 0.62 v5.4.0, 0.57 v5.3.0, 0.65 v5.2.0, 0.43 v5.0.0, 0.50 v4.1.0, 0.61 v4.0.1, 0.63 v4.0.0
% Syntax : Number of formulae : 10189 (10061 unt; 0 def)
% Number of atoms : 10951 ( 0 equ)
% Maximal formula atoms : 246 ( 1 avg)
% Number of connectives : 762 ( 0 ~; 18 |; 618 &)
% ( 0 <=>; 126 =>; 0 <=; 0 <~>)
% Maximal formula depth : 246 ( 1 avg)
% Maximal term depth : 5 ( 1 avg)
% Number of predicates : 87 ( 87 usr; 0 prp; 2-12 aty)
% Number of functors : 16666 (16666 usr;16665 con; 0-2 aty)
% Number of variables : 474 ( 405 !; 69 ?)
% 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_1106_a19984,conjecture,
? [X0,X1,X2,X3,X4,X5] :
( attr(X2,X1)
& attr(X4,X5)
& obj(X3,X0)
& prop(X0,britisch__1_1)
& sub(X0,firma_1_1)
& sub(X1,name_1_1)
& val(X1,bmw_0) ) ).
fof(ave07_era5_synth_qa07_007_mira_news_1106_a19984,hypothesis,
( subs(c57187,einigung_1_1)
& attr(c57201,c57202)
& sub(c57201,firma_1_1)
& sub(c57202,name_1_1)
& val(c57202,bmw_0)
& attr(c57288,c57289)
& attr(c57288,c59030)
& sub(c57288,firma_1_1)
& sub(c57289,name_1_1)
& val(c57289,honda_0)
& pred(c57295,rover_1_1)
& preds(c57299,bem__374hen_3_1)
& prop(c57299,langfristig_1_1)
& sub(c57309,vorzeitigkeit_1_1)
& attr(c58967,c58968)
& sub(c58967,firma_1_1)
& sub(c58968,name_1_1)
& val(c58968,rover_0)
& prop(c58970,britisch__1_1)
& sub(c58970,firma_1_1)
& prop(c58978,eigen_1_1)
& sub(c58978,markenidentit__344t_1_1)
& sub(c59030,name_1_1)
& val(c59030,honda_0)
& attr(c59035,c59036)
& sub(c59035,stadt__1_1)
& sub(c59036,name_1_1)
& val(c59036,london_0)
& tupl_p12(c59878,c57187,c57201,c57288,c57295,c57299,c57309,c58967,c58970,c58978,c57288,c59035)
& assoc(markenidentit__344t_1_1,marken_0)
& sub(markenidentit__344t_1_1,analogie__1_1)
& sort(c57187,ad)
& card(c57187,int1)
& etype(c57187,int0)
& fact(c57187,real)
& gener(c57187,sp)
& quant(c57187,one)
& refer(c57187,det)
& varia(c57187,con)
& sort(einigung_1_1,ad)
& card(einigung_1_1,int1)
& etype(einigung_1_1,int0)
& fact(einigung_1_1,real)
& gener(einigung_1_1,ge)
& quant(einigung_1_1,one)
& refer(einigung_1_1,refer_c)
& varia(einigung_1_1,varia_c)
& sort(c57201,d)
& sort(c57201,io)
& card(c57201,int1)
& etype(c57201,int0)
& fact(c57201,real)
& gener(c57201,sp)
& quant(c57201,one)
& refer(c57201,det)
& varia(c57201,con)
& sort(c57202,na)
& card(c57202,int1)
& etype(c57202,int0)
& fact(c57202,real)
& gener(c57202,sp)
& quant(c57202,one)
& refer(c57202,indet)
& varia(c57202,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(c57288,d)
& sort(c57288,io)
& card(c57288,int1)
& etype(c57288,int0)
& fact(c57288,real)
& gener(c57288,sp)
& quant(c57288,one)
& refer(c57288,det)
& varia(c57288,con)
& sort(c57289,na)
& card(c57289,int1)
& etype(c57289,int0)
& fact(c57289,real)
& gener(c57289,sp)
& quant(c57289,one)
& refer(c57289,indet)
& varia(c57289,varia_c)
& sort(c59030,na)
& card(c59030,int1)
& etype(c59030,int0)
& fact(c59030,real)
& gener(c59030,sp)
& quant(c59030,one)
& refer(c59030,indet)
& varia(c59030,varia_c)
& sort(honda_0,fe)
& sort(c57295,d)
& card(c57295,cons(x_constant,cons(int1,nil)))
& etype(c57295,int1)
& fact(c57295,real)
& gener(c57295,gener_c)
& quant(c57295,mult)
& refer(c57295,indet)
& varia(c57295,varia_c)
& sort(rover_1_1,d)
& card(rover_1_1,int1)
& etype(rover_1_1,int0)
& fact(rover_1_1,real)
& gener(rover_1_1,ge)
& quant(rover_1_1,one)
& refer(rover_1_1,refer_c)
& varia(rover_1_1,varia_c)
& sort(c57299,ad)
& card(c57299,cons(x_constant,cons(int1,nil)))
& etype(c57299,int1)
& fact(c57299,real)
& gener(c57299,gener_c)
& quant(c57299,mult)
& refer(c57299,refer_c)
& varia(c57299,varia_c)
& sort(bem__374hen_3_1,ad)
& card(bem__374hen_3_1,int1)
& etype(bem__374hen_3_1,int0)
& fact(bem__374hen_3_1,real)
& gener(bem__374hen_3_1,ge)
& quant(bem__374hen_3_1,one)
& refer(bem__374hen_3_1,refer_c)
& varia(bem__374hen_3_1,varia_c)
& sort(langfristig_1_1,tq)
& sort(c57309,ta)
& card(c57309,int1)
& etype(c57309,int0)
& fact(c57309,real)
& gener(c57309,gener_c)
& quant(c57309,one)
& refer(c57309,refer_c)
& varia(c57309,varia_c)
& sort(vorzeitigkeit_1_1,ta)
& card(vorzeitigkeit_1_1,int1)
& etype(vorzeitigkeit_1_1,int0)
& fact(vorzeitigkeit_1_1,real)
& gener(vorzeitigkeit_1_1,ge)
& quant(vorzeitigkeit_1_1,one)
& refer(vorzeitigkeit_1_1,refer_c)
& varia(vorzeitigkeit_1_1,varia_c)
& sort(c58967,d)
& sort(c58967,io)
& card(c58967,int1)
& etype(c58967,int0)
& fact(c58967,real)
& gener(c58967,sp)
& quant(c58967,one)
& refer(c58967,det)
& varia(c58967,con)
& sort(c58968,na)
& card(c58968,int1)
& etype(c58968,int0)
& fact(c58968,real)
& gener(c58968,sp)
& quant(c58968,one)
& refer(c58968,indet)
& varia(c58968,varia_c)
& sort(rover_0,fe)
& sort(c58970,d)
& sort(c58970,io)
& card(c58970,int1)
& etype(c58970,int0)
& fact(c58970,real)
& gener(c58970,gener_c)
& quant(c58970,one)
& refer(c58970,refer_c)
& varia(c58970,varia_c)
& sort(britisch__1_1,nq)
& sort(c58978,io)
& card(c58978,int1)
& etype(c58978,int0)
& fact(c58978,real)
& gener(c58978,gener_c)
& quant(c58978,one)
& refer(c58978,refer_c)
& varia(c58978,varia_c)
& sort(eigen_1_1,nq)
& sort(markenidentit__344t_1_1,io)
& card(markenidentit__344t_1_1,int1)
& etype(markenidentit__344t_1_1,int0)
& fact(markenidentit__344t_1_1,real)
& gener(markenidentit__344t_1_1,ge)
& quant(markenidentit__344t_1_1,one)
& refer(markenidentit__344t_1_1,refer_c)
& varia(markenidentit__344t_1_1,varia_c)
& sort(c59035,d)
& sort(c59035,io)
& card(c59035,int1)
& etype(c59035,int0)
& fact(c59035,real)
& gener(c59035,sp)
& quant(c59035,one)
& refer(c59035,det)
& varia(c59035,con)
& sort(c59036,na)
& card(c59036,int1)
& etype(c59036,int0)
& fact(c59036,real)
& gener(c59036,sp)
& quant(c59036,one)
& refer(c59036,indet)
& varia(c59036,varia_c)
& sort(stadt__1_1,d)
& sort(stadt__1_1,io)
& card(stadt__1_1,int1)
& etype(stadt__1_1,int0)
& fact(stadt__1_1,real)
& gener(stadt__1_1,ge)
& quant(stadt__1_1,one)
& refer(stadt__1_1,refer_c)
& varia(stadt__1_1,varia_c)
& sort(london_0,fe)
& sort(c59878,ent)
& card(c59878,card_c)
& etype(c59878,etype_c)
& fact(c59878,real)
& gener(c59878,gener_c)
& quant(c59878,quant_c)
& refer(c59878,refer_c)
& varia(c59878,varia_c)
& sort(marken_0,fe)
& sort(analogie__1_1,io)
& card(analogie__1_1,int1)
& etype(analogie__1_1,int0)
& fact(analogie__1_1,real)
& gener(analogie__1_1,ge)
& quant(analogie__1_1,one)
& refer(analogie__1_1,refer_c)
& varia(analogie__1_1,varia_c) ) ).
%------------------------------------------------------------------------------