TSTP Solution File: CSR115+89 by GKC---0.8

View Problem - Process Solution

%------------------------------------------------------------------------------
% File     : GKC---0.8
% Problem  : CSR115+89 : TPTP v8.1.2. Released v4.0.0.
% Transfm  : none
% Format   : tptp:raw
% Command  : gkc %s

% Computer : n029.cluster.edu
% Model    : x86_64 x86_64
% CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory   : 8042.1875MB
% OS       : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit  : 300s
% DateTime : Wed Aug 30 21:24:40 EDT 2023

% Result   : Theorem 0.20s 0.62s
% Output   : CNFRefutation 0.20s
% Verified : 
% SZS Type : -

% Comments : 
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.06/0.12  % Problem  : CSR115+89 : TPTP v8.1.2. Released v4.0.0.
% 0.06/0.13  % Command  : gkc %s
% 0.13/0.34  % Computer : n029.cluster.edu
% 0.13/0.34  % Model    : x86_64 x86_64
% 0.13/0.34  % CPU      : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.13/0.34  % Memory   : 8042.1875MB
% 0.13/0.34  % OS       : Linux 3.10.0-693.el7.x86_64
% 0.13/0.34  % CPULimit : 300
% 0.13/0.34  % WCLimit  : 300
% 0.13/0.34  % DateTime : Mon Aug 28 10:43:56 EDT 2023
% 0.13/0.34  % CPUTime  : 
% 0.20/0.48  
% 0.20/0.48  input clause set summed statistics:
% 0.20/0.48  ----------------------------------
% 0.20/0.48  in_clause_count:                 10785
% 0.20/0.48  in_rule_clause_count:              341
% 0.20/0.48  in_fact_clause_count:            10444
% 0.20/0.48  in_answer_clause_count:              0
% 0.20/0.48  in_ground_clause_count:          10449
% 0.20/0.48  in_unit_clause_count:            10451
% 0.20/0.48  in_horn_clause_count:            10775
% 0.20/0.48  in_pos_clause_count:             10455
% 0.20/0.48  in_neg_clause_count:                11
% 0.20/0.48  in_poseq_clause_count:               0
% 0.20/0.48  in_negeq_clause_count:               0
% 0.20/0.48  in_unitposeq_clause_count:           0
% 0.20/0.48  in_chain_clause_count:               0
% 0.20/0.48  in_min_length:             1
% 0.20/0.48  in_max_length:             9
% 0.20/0.48  in_min_depth:              1
% 0.20/0.48  in_max_depth:              5
% 0.20/0.48  in_min_size:               3
% 0.20/0.48  in_max_size:              30
% 0.20/0.48  in_min_vars:               0
% 0.20/0.48  in_max_vars:               7
% 0.20/0.48  in_extaxiom_count:             10394
% 0.20/0.48  in_axiom_count:                    0
% 0.20/0.48  in_assumption_count:             390
% 0.20/0.48  in_goal_count:                     1
% 0.20/0.48  in_neg_goal_count:                 1
% 0.20/0.48  in_pos_goal_count:                 0
% 0.20/0.48  in_posunit_goal_count:             0
% 0.20/0.48  
% 0.20/0.48  auto guide:
% 0.20/0.48  -----------
% 0.20/0.48  {
% 0.20/0.48  "print":1,
% 0.20/0.48  "print_level": 15,
% 0.20/0.48  "max_size": 0,
% 0.20/0.48  "max_depth": 0,
% 0.20/0.48  "max_length": 0,
% 0.20/0.48  "max_dseconds": 0,
% 0.20/0.48  "equality":0,
% 0.20/0.48  "runs":[
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.48  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.48  {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48  {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.48  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48  {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48  {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.48  
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.48  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.48  {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48  {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.48  {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48  {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48  {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.48  
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.48  {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.48  {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48  {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.48  {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.48  {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.48  {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.48  {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.48  {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.48  {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.48  
% 0.20/0.48  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48  {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48  {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.48  
% 0.20/0.48  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.48  {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2} 
% 0.20/0.48  
% 0.20/0.48  ]}
% 0.20/0.48  
% 0.20/0.48  
% 0.20/0.48  **** run 1 fork 0 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.48  
% 0.20/0.48  **** run 2 fork 1 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.48  
% 0.20/0.48  **** run 3 fork 2 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.48  
% 0.20/0.48  **** run 4 fork 3 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.48  
% 0.20/0.48  **** run 5 fork 4 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.48  
% 0.20/0.48  **** run 6 fork 5 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.48  
% 0.20/0.48  **** run 8 fork 7 starts with strategy
% 0.20/0.48  {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.48  
% 0.20/0.48  **** run 7 fork 6 starts with strategy
% 0.20/0.49  {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.62  
% 0.20/0.62  
% 0.20/0.62  result: proof found
% 0.20/0.62  for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.62  by run 5 fork 4 strategy {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.62  % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.62  
% 0.20/0.62  % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.62  fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk', plain, ((subs($sk12(X1,X2,X3),stehen_1_b) & (scar($sk12(X1,X2,X3),X3) & (obj($sk12(X1,X2,X3),X3) & mcont($sk12(X1,X2,X3),X3)))) | (~sub(X1,X2) | (~member(X2,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | ~attr(X3,X1)))),
% 0.20/0.62    inference(negpush_and_skolemize,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r'])).
% 0.20/0.62  fof('$inc_attr_name__abk__374rzung_stehen_1_b_f__374r', axiom, (! [X0,X1,X2] : (((attr(X2,X0) & member(X1,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil))))) & sub(X0,X1)) => (? [X3] : (((mcont(X3,X2) & obj(X3,X2)) & scar(X3,X2)) & subs(X3,stehen_1_b))))),
% 0.20/0.62    input). 
% 0.20/0.62  fof('$inc_member_second_$sk', plain, (member(X3,cons(X1,X2)) | ~member(X3,X2)),
% 0.20/0.62    inference(negpush_and_skolemize,[],['$inc_member_second'])).
% 0.20/0.62  fof('$inc_member_second', axiom, (! [X0,X1,X2] : (member(X0,X2) => member(X0,cons(X1,X2)))),
% 0.20/0.62    input). 
% 0.20/0.62  fof('$inc_member_first_$sk', plain, member(X2,cons(X2,X1)),
% 0.20/0.62    inference(negpush_and_skolemize,[],['$inc_member_first'])).
% 0.20/0.62  fof('$inc_member_first', axiom, (! [X0,X1] : member(X0,cons(X0,X1))),
% 0.20/0.62    input). 
% 0.20/0.62  fof('ave07_era5_synth_qa07_007_mira_wp_511_$sk', plain, (varia(wagenrennen_1_1,varia_c) & (refer(wagenrennen_1_1,refer_c) & (quant(wagenrennen_1_1,one) & (gener(wagenrennen_1_1,ge) & (fact(wagenrennen_1_1,real) & (etype(wagenrennen_1_1,int0) & (card(wagenrennen_1_1,int1) & (sort(wagenrennen_1_1,o) & (varia(sport__1_1,varia_c) & (refer(sport__1_1,refer_c) & (quant(sport__1_1,one) & (gener(sport__1_1,ge) & (fact(sport__1_1,real) & (etype(sport__1_1,int0) & (card(sport__1_1,int1) & (sort(sport__1_1,ad) & (varia(c12390,varia_c) & (refer(c12390,refer_c) & (quant(c12390,quant_c) & (gener(c12390,gener_c) & (fact(c12390,real) & (etype(c12390,etype_c) & (card(c12390,card_c) & (sort(c12390,ent) & (varia(sportwagenrennen_1_1,varia_c) & (refer(sportwagenrennen_1_1,refer_c) & (quant(sportwagenrennen_1_1,one) & (gener(sportwagenrennen_1_1,ge) & (fact(sportwagenrennen_1_1,real) & (etype(sportwagenrennen_1_1,int0) & (card(sportwagenrennen_1_1,int1) & (sort(sportwagenrennen_1_1,o) & (varia(c12300,varia_c) & (refer(c12300,indet) & (quant(c12300,mult) & (gener(c12300,gener_c) & (fact(c12300,real) & (etype(c12300,int1) & (card(c12300,cons(x_constant,cons(int1,nil))) & (sort(c12300,o) & (sort(achtbar_1_1,nq) & (varia(erfolg__1_1,varia_c) & (refer(erfolg__1_1,refer_c) & (quant(erfolg__1_1,one) & (gener(erfolg__1_1,ge) & (fact(erfolg__1_1,real) & (etype(erfolg__1_1,int0) & (card(erfolg__1_1,int1) & (sort(erfolg__1_1,as) & (varia(c12297,varia_c) & (refer(c12297,refer_c) & (quant(c12297,mult) & (gener(c12297,gener_c) & (fact(c12297,real) & (etype(c12297,int1) & (card(c12297,cons(x_constant,cons(int1,nil))) & (sort(c12297,as) & (sort(crook_0,fe) & (sort(tony_0,fe) & (varia(c12295,varia_c) & (refer(c12295,indet) & (quant(c12295,one) & (gener(c12295,sp) & (fact(c12295,real) & (etype(c12295,int0) & (card(c12295,int1) & (sort(c12295,na) & (varia(c12294,varia_c) & (refer(c12294,indet) & (quant(c12294,one) & (gener(c12294,sp) & (fact(c12294,real) & (etype(c12294,int0) & (card(c12294,int1) & (sort(c12294,na) & (varia(c12293,con) & (refer(c12293,det) & (quant(c12293,one) & (gener(c12293,sp) & (fact(c12293,real) & (etype(c12293,int0) & (card(c12293,int1) & (sort(c12293,d) & (sort(salvadori_0,fe) & (sort(roy_0,fe) & (varia(eigenname_1_1,varia_c) & (refer(eigenname_1_1,refer_c) & (quant(eigenname_1_1,one) & (gener(eigenname_1_1,ge) & (fact(eigenname_1_1,real) & (etype(eigenname_1_1,int0) & (card(eigenname_1_1,int1) & (sort(eigenname_1_1,na) & (varia(c12288,varia_c) & (refer(c12288,indet) & (quant(c12288,one) & (gener(c12288,sp) & (fact(c12288,real) & (etype(c12288,int0) & (card(c12288,int1) & (sort(c12288,na) & (varia(c12287,varia_c) & (refer(c12287,indet) & (quant(c12287,one) & (gener(c12287,sp) & (fact(c12287,real) & (etype(c12287,int0) & (card(c12287,int1) & (sort(c12287,na) & (varia(c12286,con) & (refer(c12286,det) & (quant(c12286,one) & (gener(c12286,sp) & (fact(c12286,real) & (etype(c12286,int0) & (card(c12286,int1) & (sort(c12286,d) & (varia(fahrer__1_1,varia_c) & (refer(fahrer__1_1,refer_c) & (quant(fahrer__1_1,one) & (gener(fahrer__1_1,ge) & (fact(fahrer__1_1,real) & (etype(fahrer__1_1,int0) & (card(fahrer__1_1,int1) & (sort(fahrer__1_1,d) & (varia(c12278,varia_c) & (refer(c12278,indet) & (quant(c12278,mult) & (gener(c12278,gener_c) & (fact(c12278,real) & (etype(c12278,int1) & (card(c12278,cons(x_constant,cons(int1,nil))) & (sort(c12278,d) & (varia(wagen_1_1,varia_c) & (refer(wagen_1_1,refer_c) & (quant(wagen_1_1,one) & (gener(wagen_1_1,ge) & (fact(wagen_1_1,real) & (etype(wagen_1_1,int0) & (card(wagen_1_1,int1) & (sort(wagen_1_1,d) & (varia(c12274,con) & (refer(c12274,det) & (quant(c12274,mult) & (gener(c12274,sp) & (fact(c12274,real) & (etype(c12274,int1) & (card(c12274,cons(x_constant,cons(int1,nil))) & (sort(c12274,d) & (varia(motor__1_1,varia_c) & (refer(motor__1_1,refer_c) & (quant(motor__1_1,one) & (gener(motor__1_1,ge) & (fact(motor__1_1,real) & (etype(motor__1_1,int0) & (card(motor__1_1,int1) & (sort(motor__1_1,d) & (varia(c12261,varia_c) & (refer(c12261,refer_c) & (quant(c12261,one) & (gener(c12261,gener_c) & (fact(c12261,real) & (etype(c12261,int0) & (card(c12261,int1) & (sort(c12261,d) & (sort(bmw_0,fe) & (varia(c12260,varia_c) & (refer(c12260,indet) & (quant(c12260,one) & (gener(c12260,sp) & (fact(c12260,real) & (etype(c12260,int0) & (card(c12260,int1) & (sort(c12260,na) & (varia(c12259,con) & (refer(c12259,det) & (quant(c12259,one) & (gener(c12259,sp) & (fact(c12259,real) & (etype(c12259,int0) & (card(c12259,int1) & (sort(c12259,io) & (sort(c12259,d) & (varia(c11181,varia_c) & (refer(c11181,refer_c) & (quant(c11181,one) & (gener(c11181,ge) & (fact(c11181,real) & (etype(c11181,int0) & (card(c11181,int1) & (sort(c11181,d) & (varia(artefakt_1_1,varia_c) & (refer(artefakt_1_1,refer_c) & (quant(artefakt_1_1,one) & (gener(artefakt_1_1,ge) & (fact(artefakt_1_1,real) & (etype(artefakt_1_1,int0) & (card(artefakt_1_1,int1) & (sort(artefakt_1_1,io) & (sort(artefakt_1_1,d) & (varia(c11175,varia_c) & (refer(c11175,indet) & (quant(c11175,mult) & (gener(c11175,gener_c) & (fact(c11175,real) & (etype(c11175,int1) & (card(c11175,cons(x_constant,cons(int1,nil))) & (sort(c11175,io) & (sort(c11175,d) & (sort(bristol_0,fe) & (varia(name_1_1,varia_c) & (refer(name_1_1,refer_c) & (quant(name_1_1,one) & (gener(name_1_1,ge) & (fact(name_1_1,real) & (etype(name_1_1,int0) & (card(name_1_1,int1) & (sort(name_1_1,na) & (varia(stadt__1_1,varia_c) & (refer(stadt__1_1,refer_c) & (quant(stadt__1_1,one) & (gener(stadt__1_1,ge) & (fact(stadt__1_1,real) & (etype(stadt__1_1,int0) & (card(stadt__1_1,int1) & (sort(stadt__1_1,io) & (sort(stadt__1_1,d) & (varia(c11172,varia_c) & (refer(c11172,indet) & (quant(c11172,one) & (gener(c11172,sp) & (fact(c11172,real) & (etype(c11172,int0) & (card(c11172,int1) & (sort(c11172,na) & (varia(c11171,con) & (refer(c11171,det) & (quant(c11171,one) & (gener(c11171,sp) & (fact(c11171,real) & (etype(c11171,int0) & (card(c11171,int1) & (sort(c11171,io) & (sort(c11171,d) & (sort(nash_0,fe) & (varia(c11151,varia_c) & (refer(c11151,indet) & (quant(c11151,one) & (gener(c11151,sp) & (fact(c11151,real) & (etype(c11151,int0) & (card(c11151,int1) & (sort(c11151,na) & (varia(c11150,con) & (refer(c11150,det) & (quant(c11150,one) & (gener(c11150,sp) & (fact(c11150,real) & (etype(c11150,int0) & (card(c11150,int1) & (sort(c11150,d) & (sort(frazer_0,fe) & (varia(familiename_1_1,varia_c) & (refer(familiename_1_1,refer_c) & (quant(familiename_1_1,one) & (gener(familiename_1_1,ge) & (fact(familiename_1_1,real) & (etype(familiename_1_1,int0) & (card(familiename_1_1,int1) & (sort(familiename_1_1,na) & (varia(mensch_1_1,varia_c) & (refer(mensch_1_1,refer_c) & (quant(mensch_1_1,one) & (gener(mensch_1_1,ge) & (fact(mensch_1_1,real) & (etype(mensch_1_1,int0) & (card(mensch_1_1,int1) & (sort(mensch_1_1,d) & (varia(c11145,varia_c) & (refer(c11145,indet) & (quant(c11145,one) & (gener(c11145,sp) & (fact(c11145,real) & (etype(c11145,int0) & (card(c11145,int1) & (sort(c11145,na) & (varia(c11144,con) & (refer(c11144,det) & (quant(c11144,one) & (gener(c11144,sp) & (fact(c11144,real) & (etype(c11144,int0) & (card(c11144,int1) & (sort(c11144,d) & (varia(firma_1_1,varia_c) & (refer(firma_1_1,refer_c) & (quant(firma_1_1,one) & (gener(firma_1_1,ge) & (fact(firma_1_1,real) & (etype(firma_1_1,int0) & (card(firma_1_1,int1) & (sort(firma_1_1,io) & (sort(firma_1_1,d) & (varia(c11137,con) & (refer(c11137,det) & (quant(c11137,one) & (gener(c11137,sp) & (fact(c11137,real) & (etype(c11137,int0) & (card(c11137,int1) & (sort(c11137,io) & (sort(c11137,d) & (varia(man_1_1,varia_c) & (refer(man_1_1,refer_c) & (quant(man_1_1,one) & (gener(man_1_1,ge) & (fact(man_1_1,real) & (etype(man_1_1,int0) & (card(man_1_1,int1) & (sort(man_1_1,d) & (varia(c11133,varia_c) & (refer(c11133,refer_c) & (quant(c11133,one) & (gener(c11133,ge) & (fact(c11133,real) & (etype(c11133,int0) & (card(c11133,int1) & (sort(c11133,d) & (varia(zweit_weltkrieg_1_1,con) & (refer(zweit_weltkrieg_1_1,det) & (quant(zweit_weltkrieg_1_1,one) & (gener(zweit_weltkrieg_1_1,sp) & (fact(zweit_weltkrieg_1_1,real) & (etype(zweit_weltkrieg_1_1,int0) & (card(zweit_weltkrieg_1_1,int1) & (sort(zweit_weltkrieg_1_1,ta) & (sort(zweit_weltkrieg_1_1,ad) & (varia(c11126,con) & (refer(c11126,det) & (quant(c11126,one) & (gener(c11126,sp) & (fact(c11126,real) & (etype(c11126,int0) & (card(c11126,int1) & (sort(c11126,ta) & (sort(c11126,ad) & (sub(sportwagenrennen_1_1,wagenrennen_1_1) & (assoc(sportwagenrennen_1_1,sport__1_1) & (tupl_p17(c12390,c11126,c11133,c11137,c11144,c11150,c11171,c11175,c11181,c12259,c12261,c12274,c12278,c12286,c12293,c12297,c12300) & (pred(c12300,sportwagenrennen_1_1) & (prop(c12297,achtbar_1_1) & (preds(c12297,erfolg__1_1) & (val(c12295,crook_0) & (sub(c12295,familiename_1_1) & (val(c12294,tony_0) & (sub(c12294,eigenname_1_1) & (sub(c12293,mensch_1_1) & (attr(c12293,c12295) & (attr(c12293,c12294) & (val(c12288,salvadori_0) & (sub(c12288,familiename_1_1) & (val(c12287,roy_0) & (sub(c12287,eigenname_1_1) & (sub(c12286,mensch_1_1) & (attr(c12286,c12288) & (attr(c12286,c12287) & (pred(c12278,fahrer__1_1) & (pred(c12274,wagen_1_1) & (sub(c12261,motor__1_1) & (val(c12260,bmw_0) & (sub(c12260,name_1_1) & (sub(c12259,firma_1_1) & (attr(c12259,c12260) & (sub(c11181,man_1_1) & (pred(c11175,artefakt_1_1) & (val(c11172,bristol_0) & (sub(c11172,name_1_1) & (sub(c11171,stadt__1_1) & (attr(c11171,c11172) & (val(c11151,nash_0) & (sub(c11151,familiename_1_1) & (sub(c11150,mensch_1_1) & (attr(c11150,c11151) & (val(c11145,frazer_0) & (sub(c11145,familiename_1_1) & (sub(c11144,mensch_1_1) & (attr(c11144,c11145) & (sub(c11137,firma_1_1) & (sub(c11133,man_1_1) & sub(c11126,zweit_weltkrieg_1_1)))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 0.20/0.62    inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_wp_511'])).
% 0.20/0.62  fof('ave07_era5_synth_qa07_007_mira_wp_511', hypothesis, (((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((sub(c11126,zweit_weltkrieg_1_1) & sub(c11133,man_1_1)) & sub(c11137,firma_1_1)) & attr(c11144,c11145)) & sub(c11144,mensch_1_1)) & sub(c11145,familiename_1_1)) & val(c11145,frazer_0)) & attr(c11150,c11151)) & sub(c11150,mensch_1_1)) & sub(c11151,familiename_1_1)) & val(c11151,nash_0)) & attr(c11171,c11172)) & sub(c11171,stadt__1_1)) & sub(c11172,name_1_1)) & val(c11172,bristol_0)) & pred(c11175,artefakt_1_1)) & sub(c11181,man_1_1)) & attr(c12259,c12260)) & sub(c12259,firma_1_1)) & sub(c12260,name_1_1)) & val(c12260,bmw_0)) & sub(c12261,motor__1_1)) & pred(c12274,wagen_1_1)) & pred(c12278,fahrer__1_1)) & attr(c12286,c12287)) & attr(c12286,c12288)) & sub(c12286,mensch_1_1)) & sub(c12287,eigenname_1_1)) & val(c12287,roy_0)) & sub(c12288,familiename_1_1)) & val(c12288,salvadori_0)) & attr(c12293,c12294)) & attr(c12293,c12295)) & sub(c12293,mensch_1_1)) & sub(c12294,eigenname_1_1)) & val(c12294,tony_0)) & sub(c12295,familiename_1_1)) & val(c12295,crook_0)) & preds(c12297,erfolg__1_1)) & prop(c12297,achtbar_1_1)) & pred(c12300,sportwagenrennen_1_1)) & tupl_p17(c12390,c11126,c11133,c11137,c11144,c11150,c11171,c11175,c11181,c12259,c12261,c12274,c12278,c12286,c12293,c12297,c12300)) & assoc(sportwagenrennen_1_1,sport__1_1)) & sub(sportwagenrennen_1_1,wagenrennen_1_1)) & sort(c11126,ad)) & sort(c11126,ta)) & card(c11126,int1)) & etype(c11126,int0)) & fact(c11126,real)) & gener(c11126,sp)) & quant(c11126,one)) & refer(c11126,det)) & varia(c11126,con)) & sort(zweit_weltkrieg_1_1,ad)) & sort(zweit_weltkrieg_1_1,ta)) & card(zweit_weltkrieg_1_1,int1)) & etype(zweit_weltkrieg_1_1,int0)) & fact(zweit_weltkrieg_1_1,real)) & gener(zweit_weltkrieg_1_1,sp)) & quant(zweit_weltkrieg_1_1,one)) & refer(zweit_weltkrieg_1_1,det)) & varia(zweit_weltkrieg_1_1,con)) & sort(c11133,d)) & card(c11133,int1)) & etype(c11133,int0)) & fact(c11133,real)) & gener(c11133,ge)) & quant(c11133,one)) & refer(c11133,refer_c)) & varia(c11133,varia_c)) & sort(man_1_1,d)) & card(man_1_1,int1)) & etype(man_1_1,int0)) & fact(man_1_1,real)) & gener(man_1_1,ge)) & quant(man_1_1,one)) & refer(man_1_1,refer_c)) & varia(man_1_1,varia_c)) & sort(c11137,d)) & sort(c11137,io)) & card(c11137,int1)) & etype(c11137,int0)) & fact(c11137,real)) & gener(c11137,sp)) & quant(c11137,one)) & refer(c11137,det)) & varia(c11137,con)) & 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(c11144,d)) & card(c11144,int1)) & etype(c11144,int0)) & fact(c11144,real)) & gener(c11144,sp)) & quant(c11144,one)) & refer(c11144,det)) & varia(c11144,con)) & sort(c11145,na)) & card(c11145,int1)) & etype(c11145,int0)) & fact(c11145,real)) & gener(c11145,sp)) & quant(c11145,one)) & refer(c11145,indet)) & varia(c11145,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(frazer_0,fe)) & sort(c11150,d)) & card(c11150,int1)) & etype(c11150,int0)) & fact(c11150,real)) & gener(c11150,sp)) & quant(c11150,one)) & refer(c11150,det)) & varia(c11150,con)) & sort(c11151,na)) & card(c11151,int1)) & etype(c11151,int0)) & fact(c11151,real)) & gener(c11151,sp)) & quant(c11151,one)) & refer(c11151,indet)) & varia(c11151,varia_c)) & sort(nash_0,fe)) & sort(c11171,d)) & sort(c11171,io)) & card(c11171,int1)) & etype(c11171,int0)) & fact(c11171,real)) & gener(c11171,sp)) & quant(c11171,one)) & refer(c11171,det)) & varia(c11171,con)) & sort(c11172,na)) & card(c11172,int1)) & etype(c11172,int0)) & fact(c11172,real)) & gener(c11172,sp)) & quant(c11172,one)) & refer(c11172,indet)) & varia(c11172,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(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(bristol_0,fe)) & sort(c11175,d)) & sort(c11175,io)) & card(c11175,cons(x_constant,cons(int1,nil)))) & etype(c11175,int1)) & fact(c11175,real)) & gener(c11175,gener_c)) & quant(c11175,mult)) & refer(c11175,indet)) & varia(c11175,varia_c)) & sort(artefakt_1_1,d)) & sort(artefakt_1_1,io)) & card(artefakt_1_1,int1)) & etype(artefakt_1_1,int0)) & fact(artefakt_1_1,real)) & gener(artefakt_1_1,ge)) & quant(artefakt_1_1,one)) & refer(artefakt_1_1,refer_c)) & varia(artefakt_1_1,varia_c)) & sort(c11181,d)) & card(c11181,int1)) & etype(c11181,int0)) & fact(c11181,real)) & gener(c11181,ge)) & quant(c11181,one)) & refer(c11181,refer_c)) & varia(c11181,varia_c)) & sort(c12259,d)) & sort(c12259,io)) & card(c12259,int1)) & etype(c12259,int0)) & fact(c12259,real)) & gener(c12259,sp)) & quant(c12259,one)) & refer(c12259,det)) & varia(c12259,con)) & sort(c12260,na)) & card(c12260,int1)) & etype(c12260,int0)) & fact(c12260,real)) & gener(c12260,sp)) & quant(c12260,one)) & refer(c12260,indet)) & varia(c12260,varia_c)) & sort(bmw_0,fe)) & sort(c12261,d)) & card(c12261,int1)) & etype(c12261,int0)) & fact(c12261,real)) & gener(c12261,gener_c)) & quant(c12261,one)) & refer(c12261,refer_c)) & varia(c12261,varia_c)) & sort(motor__1_1,d)) & card(motor__1_1,int1)) & etype(motor__1_1,int0)) & fact(motor__1_1,real)) & gener(motor__1_1,ge)) & quant(motor__1_1,one)) & refer(motor__1_1,refer_c)) & varia(motor__1_1,varia_c)) & sort(c12274,d)) & card(c12274,cons(x_constant,cons(int1,nil)))) & etype(c12274,int1)) & fact(c12274,real)) & gener(c12274,sp)) & quant(c12274,mult)) & refer(c12274,det)) & varia(c12274,con)) & sort(wagen_1_1,d)) & card(wagen_1_1,int1)) & etype(wagen_1_1,int0)) & fact(wagen_1_1,real)) & gener(wagen_1_1,ge)) & quant(wagen_1_1,one)) & refer(wagen_1_1,refer_c)) & varia(wagen_1_1,varia_c)) & sort(c12278,d)) & card(c12278,cons(x_constant,cons(int1,nil)))) & etype(c12278,int1)) & fact(c12278,real)) & gener(c12278,gener_c)) & quant(c12278,mult)) & refer(c12278,indet)) & varia(c12278,varia_c)) & sort(fahrer__1_1,d)) & card(fahrer__1_1,int1)) & etype(fahrer__1_1,int0)) & fact(fahrer__1_1,real)) & gener(fahrer__1_1,ge)) & quant(fahrer__1_1,one)) & refer(fahrer__1_1,refer_c)) & varia(fahrer__1_1,varia_c)) & sort(c12286,d)) & card(c12286,int1)) & etype(c12286,int0)) & fact(c12286,real)) & gener(c12286,sp)) & quant(c12286,one)) & refer(c12286,det)) & varia(c12286,con)) & sort(c12287,na)) & card(c12287,int1)) & etype(c12287,int0)) & fact(c12287,real)) & gener(c12287,sp)) & quant(c12287,one)) & refer(c12287,indet)) & varia(c12287,varia_c)) & sort(c12288,na)) & card(c12288,int1)) & etype(c12288,int0)) & fact(c12288,real)) & gener(c12288,sp)) & quant(c12288,one)) & refer(c12288,indet)) & varia(c12288,varia_c)) & sort(eigenname_1_1,na)) & card(eigenname_1_1,int1)) & etype(eigenname_1_1,int0)) & fact(eigenname_1_1,real)) & gener(eigenname_1_1,ge)) & quant(eigenname_1_1,one)) & refer(eigenname_1_1,refer_c)) & varia(eigenname_1_1,varia_c)) & sort(roy_0,fe)) & sort(salvadori_0,fe)) & sort(c12293,d)) & card(c12293,int1)) & etype(c12293,int0)) & fact(c12293,real)) & gener(c12293,sp)) & quant(c12293,one)) & refer(c12293,det)) & varia(c12293,con)) & sort(c12294,na)) & card(c12294,int1)) & etype(c12294,int0)) & fact(c12294,real)) & gener(c12294,sp)) & quant(c12294,one)) & refer(c12294,indet)) & varia(c12294,varia_c)) & sort(c12295,na)) & card(c12295,int1)) & etype(c12295,int0)) & fact(c12295,real)) & gener(c12295,sp)) & quant(c12295,one)) & refer(c12295,indet)) & varia(c12295,varia_c)) & sort(tony_0,fe)) & sort(crook_0,fe)) & sort(c12297,as)) & card(c12297,cons(x_constant,cons(int1,nil)))) & etype(c12297,int1)) & fact(c12297,real)) & gener(c12297,gener_c)) & quant(c12297,mult)) & refer(c12297,refer_c)) & varia(c12297,varia_c)) & sort(erfolg__1_1,as)) & card(erfolg__1_1,int1)) & etype(erfolg__1_1,int0)) & fact(erfolg__1_1,real)) & gener(erfolg__1_1,ge)) & quant(erfolg__1_1,one)) & refer(erfolg__1_1,refer_c)) & varia(erfolg__1_1,varia_c)) & sort(achtbar_1_1,nq)) & sort(c12300,o)) & card(c12300,cons(x_constant,cons(int1,nil)))) & etype(c12300,int1)) & fact(c12300,real)) & gener(c12300,gener_c)) & quant(c12300,mult)) & refer(c12300,indet)) & varia(c12300,varia_c)) & sort(sportwagenrennen_1_1,o)) & card(sportwagenrennen_1_1,int1)) & etype(sportwagenrennen_1_1,int0)) & fact(sportwagenrennen_1_1,real)) & gener(sportwagenrennen_1_1,ge)) & quant(sportwagenrennen_1_1,one)) & refer(sportwagenrennen_1_1,refer_c)) & varia(sportwagenrennen_1_1,varia_c)) & sort(c12390,ent)) & card(c12390,card_c)) & etype(c12390,etype_c)) & fact(c12390,real)) & gener(c12390,gener_c)) & quant(c12390,quant_c)) & refer(c12390,refer_c)) & varia(c12390,varia_c)) & sort(sport__1_1,ad)) & card(sport__1_1,int1)) & etype(sport__1_1,int0)) & fact(sport__1_1,real)) & gener(sport__1_1,ge)) & quant(sport__1_1,one)) & refer(sport__1_1,refer_c)) & varia(sport__1_1,varia_c)) & sort(wagenrennen_1_1,o)) & card(wagenrennen_1_1,int1)) & etype(wagenrennen_1_1,int0)) & fact(wagenrennen_1_1,real)) & gener(wagenrennen_1_1,ge)) & quant(wagenrennen_1_1,one)) & refer(wagenrennen_1_1,refer_c)) & varia(wagenrennen_1_1,varia_c)),
% 0.20/0.62    input). 
% 0.20/0.62  fof('synth_qa07_007_mira_wp_511_$sk', plain, (~val(X7,bmw_0) | (~val(X1,bmw_0) | (~sub(X7,name_1_1) | (~sub(X2,firma_1_1) | (~sub(X1,name_1_1) | (~obj(X3,X2) | (~attr(X6,X5) | (~attr(X4,X7) | ~attr(X2,X1))))))))),
% 0.20/0.62    inference(negpush_and_skolemize,[],['synth_qa07_007_mira_wp_511'])).
% 0.20/0.62  fof('synth_qa07_007_mira_wp_511', 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))),
% 0.20/0.62    input). 
% 0.20/0.62  cnf('1', plain, (~member(X,cons(eigenname_1_1,cons(familiename_1_1,cons(name_1_1,nil)))) | obj($sk12(Y,X,Z),Z) | ~attr(Z,Y) | ~sub(Y,X)),
% 0.20/0.62    inference(cnf_transformation,[],['$inc_attr_name__abk__374rzung_stehen_1_b_f__374r_$sk'])).
% 0.20/0.62  cnf('2', plain, (member(X,cons(Y,Z)) | ~member(X,Z)),
% 0.20/0.62    inference(cnf_transformation,[],['$inc_member_second_$sk'])).
% 0.20/0.62  cnf('3', plain, (member(X,cons(X,Y))),
% 0.20/0.62    inference(cnf_transformation,[],['$inc_member_first_$sk'])).
% 0.20/0.62  cnf('4', plain, (member(X,cons(Y,cons(X,Z)))),
% 0.20/0.62    inference(resolution,[],['2','3'])).
% 0.20/0.62  cnf('5', plain, (member(X,cons(Y,cons(Z,cons(X,U))))),
% 0.20/0.62    inference(resolution,[],['4','2'])).
% 0.20/0.62  cnf('6', plain, (obj($sk12(X,name_1_1,Y),Y) | ~attr(Y,X) | ~sub(X,name_1_1)),
% 0.20/0.62    inference(resolution,[],['1','5'])).
% 0.20/0.62  cnf('7', plain, (sub(c12260,name_1_1)),
% 0.20/0.62    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_511_$sk'])).
% 0.20/0.62  cnf('8', plain, (obj($sk12(c12260,name_1_1,X),X) | ~attr(X,c12260)),
% 0.20/0.62    inference(resolution,[],['6','7'])).
% 0.20/0.62  cnf('9', plain, (attr(c12259,c12260)),
% 0.20/0.62    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_511_$sk'])).
% 0.20/0.62  cnf('10', plain, (val(c12260,bmw_0)),
% 0.20/0.62    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_511_$sk'])).
% 0.20/0.62  cnf('11', plain, (~val(X,bmw_0) | ~val(Y,bmw_0) | ~attr(Z,Y) | ~attr(U,V) | ~attr(W,X) | ~obj(X2006,W) | ~sub(W,firma_1_1) | ~sub(X,name_1_1) | ~sub(Y,name_1_1)),
% 0.20/0.62    inference(cnf_transformation,[],['synth_qa07_007_mira_wp_511_$sk'])).
% 0.20/0.62  cnf('12', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~attr(Z,U) | ~obj(V,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.20/0.62    inference(factorization,[],['11'])).
% 0.20/0.62  cnf('13', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 0.20/0.62    inference(factorization,[],['12'])).
% 0.20/0.62  cnf('14', plain, (sub(c12260,name_1_1)),
% 0.20/0.62    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_511_$sk'])).
% 0.20/0.62  cnf('15', plain, (~attr(X,c12260) | ~obj(Y,X) | ~sub(X,firma_1_1)),
% 0.20/0.62    inference(resolution,[then_simplify],['10','13','14'])).
% 0.20/0.62  cnf('16', plain, (sub(c12259,firma_1_1)),
% 0.20/0.62    inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_wp_511_$sk'])).
% 0.20/0.62  cnf('17', plain, (~obj(X3,c12259)),
% 0.20/0.62    inference(resolution,[then_simplify],['15','9','16'])).
% 0.20/0.62  cnf('18', plain, ($false),
% 0.20/0.62    inference(resolution,[then_simplify],['8','9','17'])).
% 0.20/0.62  
% 0.20/0.62  % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p 
% 0.20/0.62  
% 0.20/0.62  run 5 fork 4 statistics:
% 0.20/0.62  ----------------------------------
% 0.20/0.62  this run seconds: 0.072218
% 0.20/0.62  total seconds: 0.121009
% 0.20/0.62  stat_given_used: 2227
% 0.20/0.62  stat_given_used_at_endgame: 0
% 0.20/0.62  stat_given_candidates:   2691
% 0.20/0.62  stat_given_candidates_at_endgame: 0
% 0.20/0.62  stat_given_candidates_h: 0
% 0.20/0.62  stat_binres_derived_cl:   2043
% 0.20/0.62  stat_binres_derived_cl_h: 0
% 0.20/0.62  stat_factor_derived_cl: 16
% 0.20/0.62  stat_para_derived_cl: 0
% 0.20/0.62  stat_tautologies_discarded: 9
% 0.20/0.62  stat_forward_subsumed: 1
% 0.20/0.62  stat_derived_cut: 9
% 0.20/0.62  stat_derived_rewritten: 0
% 0.20/0.62  stat_weight_discarded_building: 0
% 0.20/0.62  stat_weight_discarded_cl: 190
% 0.20/0.62  stat_internlimit_discarded_cl: 0
% 0.20/0.62  stat_simplified:  4 simplified 0 derived 0 given
% 0.20/0.62  stat_kept_cl: 1858
% 0.20/0.62  stat_built_cl: 6506
% 0.20/0.62  stat_hyperres_partial_cl: 0
% 0.20/0.62  stat_made_rewriters: 0
% 0.20/0.62  stat_backward_subsumed: 0
% 0.20/0.62  stat_propagated_subsumed: 0
% 0.20/0.62  stat_clsubs_attempted:                      7215
% 0.20/0.62  stat_clsubs_fact_groundunit_found:           314
% 0.20/0.62  stat_clsubs_rule_groundunit_found:             0
% 0.20/0.62  stat_clsubs_top_meta_attempted:             919573
% 0.20/0.62  stat_clsubs_top_meta_failed:                912358
% 0.20/0.62  stat_clsubs_top_meta_nonpref_attempted:              919573
% 0.20/0.62  stat_clsubs_top_meta_nonpref_succeeded:              281057
% 0.20/0.62  stat_clsubs_top_meta_pref_attempted:                 281057
% 0.20/0.62  stat_clsubs_top_meta_pref1_succeeded:                 26066
% 0.20/0.62  stat_clsubs_top_meta_pref2_succeeded:                 13615
% 0.20/0.62  stat_clsubs_top_meta_pref3_succeeded:                  7215
% 0.20/0.62  stat_clsubs_top_meta_pref_succeeded:                   7215
% 0.20/0.62  stat_clsubs_meta_attempted:                17873
% 0.20/0.62  stat_clsubs_meta_failed:                   10062
% 0.20/0.62  stat_clsubs_predsymbs_attempted:               0
% 0.20/0.62  stat_clsubs_unit_attempted:                  373
% 0.20/0.62  stat_clsubs_full_attempted:                 6842
% 0.20/0.62  stat_forwardsubs_attempted:                 2050
% 0.20/0.62  stat_lit_hash_added:                   3386
% 0.20/0.62  stat_lit_hash_computed:               20759
% 0.20/0.62  stat_lit_hash_match_found:              319
% 0.20/0.62  stat_lit_hash_match_miss:             25080
% 0.20/0.62  stat_lit_hash_cut_ok:                     8
% 0.20/0.62  stat_lit_strong_cut_ok:                   1
% 0.20/0.62  stat_lit_hash_subsume_ok:                 1
% 0.20/0.62  clqueue els 10000000 used 1
% 0.20/0.62  clactive els 10000000 used 2228
% 0.20/0.62  clactivesubsume els 10000000 used 6709
% 0.20/0.62  queue_termbuf els 200000000 used 94843
% 0.20/0.62  hyper_termbuf els 100000000 used 1
% 0.20/0.62  active_termbuf els 100000000 used 71285
% 0.20/0.62  varstack els 5000 last used 1
% 0.20/0.62  given_termbuf els 10000000 last used 1
% 0.20/0.62  simplified_termbuf els 10000000 last used 1
% 0.20/0.62  derived_termbuf els 10000000 last used 30
% 0.20/0.62  wr_mallocs: 15519
% 0.20/0.62  wr_callocs: 21
% 0.20/0.62  wr_reallocs: 457
% 0.20/0.62  wr_frees: 4
% 0.20/0.62  wr_malloc_bytes: 4163139988
% 0.20/0.62  wr_calloc_bytes: 112065536
% 0.20/0.62  wr_realloc_bytes: 732304
% 0.20/0.62  wr_realloc_freebytes: 0
% 0.20/0.62  ----------------------------------
%------------------------------------------------------------------------------