TSTP Solution File: CSR115+5 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : CSR115+5 : TPTP v8.1.2. Released v4.0.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n016.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 21:24:33 EDT 2023
% Result : Theorem 1.57s 0.76s
% Output : CNFRefutation 1.76s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.07/0.12 % Problem : CSR115+5 : TPTP v8.1.2. Released v4.0.0.
% 0.07/0.13 % Command : gkc %s
% 0.14/0.34 % Computer : n016.cluster.edu
% 0.14/0.34 % Model : x86_64 x86_64
% 0.14/0.34 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.14/0.34 % Memory : 8042.1875MB
% 0.14/0.34 % OS : Linux 3.10.0-693.el7.x86_64
% 0.14/0.34 % CPULimit : 300
% 0.14/0.34 % WCLimit : 300
% 0.14/0.34 % DateTime : Mon Aug 28 11:34:44 EDT 2023
% 0.14/0.34 % CPUTime :
% 0.20/0.46
% 0.20/0.46 input clause set summed statistics:
% 0.20/0.46 ----------------------------------
% 0.20/0.46 in_clause_count: 10736
% 0.20/0.46 in_rule_clause_count: 336
% 0.20/0.46 in_fact_clause_count: 10400
% 0.20/0.46 in_answer_clause_count: 0
% 0.20/0.46 in_ground_clause_count: 10400
% 0.20/0.46 in_unit_clause_count: 10402
% 0.20/0.46 in_horn_clause_count: 10726
% 0.20/0.46 in_pos_clause_count: 10406
% 0.20/0.46 in_neg_clause_count: 11
% 0.20/0.46 in_poseq_clause_count: 0
% 0.20/0.46 in_negeq_clause_count: 0
% 0.20/0.46 in_unitposeq_clause_count: 0
% 0.20/0.46 in_chain_clause_count: 0
% 0.20/0.46 in_min_length: 1
% 0.20/0.46 in_max_length: 8
% 0.20/0.46 in_min_depth: 1
% 0.20/0.46 in_max_depth: 5
% 0.20/0.46 in_min_size: 3
% 0.20/0.46 in_max_size: 30
% 0.20/0.46 in_min_vars: 0
% 0.20/0.46 in_max_vars: 7
% 0.20/0.46 in_extaxiom_count: 10394
% 0.20/0.46 in_axiom_count: 0
% 0.20/0.46 in_assumption_count: 341
% 0.20/0.46 in_goal_count: 1
% 0.20/0.46 in_neg_goal_count: 1
% 0.20/0.46 in_pos_goal_count: 0
% 0.20/0.46 in_posunit_goal_count: 0
% 0.20/0.46
% 0.20/0.46 auto guide:
% 0.20/0.46 -----------
% 0.20/0.46 {
% 0.20/0.46 "print":1,
% 0.20/0.46 "print_level": 15,
% 0.20/0.46 "max_size": 0,
% 0.20/0.46 "max_depth": 0,
% 0.20/0.46 "max_length": 0,
% 0.20/0.46 "max_dseconds": 0,
% 0.20/0.46 "equality":0,
% 0.20/0.46 "runs":[
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":1, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":1, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":1, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":1, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":1},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "sine":5},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":10, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":10},
% 0.20/0.46 {"max_dseconds":10, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":10},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":10, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":10, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":10, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":10},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "max_ground_weight"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus", "double"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "sine":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref"], "query_preference":0, "weight_select_ratio":20, "depth_penalty":50, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":50, "strategy":["hardness_pref", "max_ground_weight"], "query_preference":0},
% 0.20/0.46 {"length_penalty":100, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46 {"strategy":["hardness_pref", "max_weight"], "length_penalty":100, "depth_penalty":50, "max_depth":3, "var_weight":10, "repeat_var_weight":10, "max_dseconds":50},
% 0.20/0.46 {"max_dseconds":50, "strategy":["positive_pref"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "depth_penalty":100},
% 0.20/0.46 {"var_weight":70, "repeat_var_weight":70, "max_depth":3, "query_preference":0, "strategy":["negative_pref"], "max_dseconds":50},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":1, "reverse_clauselist":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":3},
% 0.20/0.46 {"max_dseconds":50, "strategy":["query_focus"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":1, "var_weight":1, "repeat_var_weight":1},
% 0.20/0.46 {"max_dseconds":50, "strategy":["negative_pref"], "query_preference":0, "weight_select_ratio":100, "depth_penalty":100, "length_penalty":100},
% 0.20/0.46 {"max_dseconds":50, "strategy":["unit"], "query_preference":0, "var_weight":1, "depth_penalty":100, "repeat_var_weight":1},
% 0.20/0.46 {"weight_select_ratio":100, "length_penalty":100, "query_preference":1, "strategy":["query_focus"], "max_dseconds":50},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2},
% 0.20/0.46
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":0},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "unit"], "query_preference":1, "sine":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["negative_pref"], "query_preference":1, "sine":2},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["query_focus", "positive_pref"], "query_preference":1},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["unit"], "query_preference":0, "sine":2},
% 0.20/0.46 {"max_dseconds":1250, "strategy":["unit", "posunitpara"], "query_preference":0, "sine":2}
% 0.20/0.46
% 0.20/0.46 ]}
% 0.20/0.46
% 0.20/0.46
% 0.20/0.46 **** run 1 fork 0 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":0}
% 0.20/0.46
% 0.20/0.46 **** run 2 fork 1 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 3 fork 2 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1,"sine":1}
% 0.20/0.46
% 0.20/0.46 **** run 4 fork 3 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 5 fork 4 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1,"sine":2}
% 0.20/0.46
% 0.20/0.46 **** run 6 fork 5 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["query_focus","positive_pref"],"query_preference":1}
% 0.20/0.46
% 0.20/0.46 **** run 7 fork 6 starts with strategy
% 0.20/0.46 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"sine":2}
% 0.20/0.47
% 0.20/0.47 **** run 8 fork 7 starts with strategy
% 0.20/0.47 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":0,"sine":5}
% 0.20/0.59
% 0.20/0.59 fork 7: search finished without proof.
% 0.20/0.61
% 0.20/0.61 **** run 16 fork 7 starts with strategy
% 0.20/0.61 {"max_dseconds":1,"strategy":["query_focus"],"query_preference":1,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.20/0.62
% 0.20/0.62 fork 3: search finished without proof.
% 0.20/0.62
% 0.20/0.62 fork 0: search finished without proof.
% 0.20/0.62
% 0.20/0.62
% 0.20/0.62 fork 5: search terminated without proof.
% 0.20/0.65
% 0.20/0.65 **** run 12 fork 3 starts with strategy
% 0.20/0.65 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0}
% 0.20/0.66
% 0.20/0.66 **** run 9 fork 0 starts with strategy
% 0.20/0.66 {"max_dseconds":1,"strategy":["hardness_pref"],"query_preference":0,"sine":5}
% 0.20/0.67
% 0.20/0.67 **** run 14 fork 5 starts with strategy
% 0.20/0.67 {"max_dseconds":1,"strategy":["negative_pref"],"query_preference":1}
% 0.20/0.70
% 0.20/0.70 fork 0: search finished without proof.
% 0.20/0.72
% 0.20/0.72 **** run 17 fork 0 starts with strategy
% 0.20/0.72 {"max_dseconds":1,"strategy":["query_focus","double"],"query_preference":1}
% 0.20/0.76
% 0.20/0.76 fork 7: search finished without proof.
% 1.57/0.76
% 1.57/0.76
% 1.57/0.76 result: proof found
% 1.57/0.76 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.57/0.76 by run 2 fork 1 strategy {"max_dseconds":1,"strategy":["query_focus","unit"],"query_preference":1}
% 1.57/0.76 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.57/0.76
% 1.57/0.76 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.57/0.76 fof('ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk', plain, (varia(marke_1_1,varia_c) & (refer(marke_1_1,refer_c) & (quant(marke_1_1,one) & (gener(marke_1_1,ge) & (fact(marke_1_1,real) & (etype(marke_1_1,int0) & (card(marke_1_1,int1) & (sort(marke_1_1,oa) & (sort(marke_1_1,io) & (varia(luxus__1_1,varia_c) & (refer(luxus__1_1,refer_c) & (quant(luxus__1_1,one) & (gener(luxus__1_1,ge) & (fact(luxus__1_1,real) & (etype(luxus__1_1,int0) & (card(luxus__1_1,int1) & (sort(luxus__1_1,io) & (varia(c55669,varia_c) & (refer(c55669,det) & (quant(c55669,one) & (gener(c55669,sp) & (fact(c55669,real) & (etype(c55669,int0) & (card(c55669,int1) & (sort(c55669,o) & (varia(c56046,varia_c) & (refer(c56046,refer_c) & (quant(c56046,quant_c) & (gener(c56046,gener_c) & (fact(c56046,real) & (etype(c56046,etype_c) & (card(c56046,card_c) & (sort(c56046,ent) & (sort(royce_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(c56025,varia_c) & (refer(c56025,indet) & (quant(c56025,one) & (gener(c56025,sp) & (fact(c56025,real) & (etype(c56025,int0) & (card(c56025,int1) & (sort(c56025,na) & (varia(c56024,con) & (refer(c56024,det) & (quant(c56024,one) & (gener(c56024,sp) & (fact(c56024,real) & (etype(c56024,int0) & (card(c56024,int1) & (sort(c56024,d) & (sort(roll_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(c56020,varia_c) & (refer(c56020,indet) & (quant(c56020,one) & (gener(c56020,sp) & (fact(c56020,real) & (etype(c56020,int0) & (card(c56020,int1) & (sort(c56020,na) & (varia(c56019,con) & (refer(c56019,det) & (quant(c56019,one) & (gener(c56019,sp) & (fact(c56019,real) & (etype(c56019,int0) & (card(c56019,int1) & (sort(c56019,d) & (varia(luxusmarke_1_1,varia_c) & (refer(luxusmarke_1_1,refer_c) & (quant(luxusmarke_1_1,one) & (gener(luxusmarke_1_1,ge) & (fact(luxusmarke_1_1,real) & (etype(luxusmarke_1_1,int0) & (card(luxusmarke_1_1,int1) & (sort(luxusmarke_1_1,oa) & (sort(luxusmarke_1_1,io) & (varia(c56008,con) & (refer(c56008,det) & (quant(c56008,one) & (gener(c56008,sp) & (fact(c56008,real) & (etype(c56008,int0) & (card(c56008,int1) & (sort(c56008,oa) & (sort(c56008,io) & (varia(c55999,con) & (refer(c55999,det) & (quant(c55999,one) & (gener(c55999,sp) & (fact(c55999,real) & (etype(c55999,int0) & (card(c55999,int1) & (sort(c55999,ad) & (varia(interesse_1_1,varia_c) & (refer(interesse_1_1,refer_c) & (quant(interesse_1_1,one) & (gener(interesse_1_1,ge) & (fact(interesse_1_1,real) & (etype(interesse_1_1,int0) & (card(interesse_1_1,int1) & (sort(interesse_1_1,as) & (varia(c55995,varia_c) & (refer(c55995,refer_c) & (quant(c55995,one) & (gener(c55995,gener_c) & (fact(c55995,real) & (etype(c55995,int0) & (card(c55995,int1) & (sort(c55995,as) & (sort(rover_0,fe) & (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) & (sort(britisch__1_1,nq) & (varia(c55987,varia_c) & (refer(c55987,indet) & (quant(c55987,one) & (gener(c55987,sp) & (fact(c55987,real) & (etype(c55987,int0) & (card(c55987,int1) & (sort(c55987,na) & (varia(c55986,con) & (refer(c55986,det) & (quant(c55986,one) & (gener(c55986,sp) & (fact(c55986,real) & (etype(c55986,int0) & (card(c55986,int1) & (sort(c55986,io) & (sort(c55986,d) & (varia(ankauf__1_1,varia_c) & (refer(ankauf__1_1,refer_c) & (quant(ankauf__1_1,one) & (gener(ankauf__1_1,ge) & (fact(ankauf__1_1,real) & (etype(ankauf__1_1,int0) & (card(ankauf__1_1,int1) & (sort(ankauf__1_1,ad) & (varia(c55693,con) & (refer(c55693,det) & (quant(c55693,one) & (gener(c55693,sp) & (fact(c55693,real) & (etype(c55693,int0) & (card(c55693,int1) & (sort(c55693,ad) & (varia(woche_1_1,varia_c) & (refer(woche_1_1,refer_c) & (quant(woche_1_1,quant_c) & (gener(woche_1_1,ge) & (fact(woche_1_1,real) & (etype(woche_1_1,etype_c) & (card(woche_1_1,card_c) & (sort(woche_1_1,ta) & (sort(woche_1_1,oa) & (sort(woche_1_1,me) & (sort(pass__351_1_1,tq) & (varia(c55687,con) & (refer(c55687,det) & (quant(c55687,quant_c) & (gener(c55687,sp) & (fact(c55687,real) & (etype(c55687,etype_c) & (card(c55687,card_c) & (sort(c55687,ta) & (sort(c55687,oa) & (sort(c55687,me) & (sort(bmw_0,fe) & (sort(bundesdeutsch_1_1,tq) & (varia(c55668,varia_c) & (refer(c55668,indet) & (quant(c55668,one) & (gener(c55668,sp) & (fact(c55668,real) & (etype(c55668,int0) & (card(c55668,int1) & (sort(c55668,na) & (varia(c55667,con) & (refer(c55667,det) & (quant(c55667,one) & (gener(c55667,sp) & (fact(c55667,real) & (etype(c55667,int0) & (card(c55667,int1) & (sort(c55667,io) & (sort(c55667,d) & (varia(c34,varia_c) & (refer(c34,refer_c) & (quant(c34,quant_c) & (gener(c34,gener_c) & (fact(c34,real) & (etype(c34,etype_c) & (card(c34,card_c) & (sort(c34,ent) & (varia(feb_1_1,varia_c) & (refer(feb_1_1,refer_c) & (quant(feb_1_1,one) & (gener(feb_1_1,ge) & (fact(feb_1_1,real) & (etype(feb_1_1,int0) & (card(feb_1_1,int1) & (sort(feb_1_1,o) & (varia(c21,varia_c) & (refer(c21,refer_c) & (quant(c21,one) & (gener(c21,gener_c) & (fact(c21,real) & (etype(c21,int0) & (card(c21,int1) & (sort(c21,o) & (sort(london_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(c19,varia_c) & (refer(c19,indet) & (quant(c19,one) & (gener(c19,sp) & (fact(c19,real) & (etype(c19,int0) & (card(c19,int1) & (sort(c19,na) & (varia(c18,con) & (refer(c18,det) & (quant(c18,one) & (gener(c18,sp) & (fact(c18,real) & (etype(c18,int0) & (card(c18,int1) & (sort(c18,io) & (sort(c18,d) & (varia(firmengruppe_1_1,varia_c) & (refer(firmengruppe_1_1,refer_c) & (quant(firmengruppe_1_1,one) & (gener(firmengruppe_1_1,ge) & (fact(firmengruppe_1_1,real) & (etype(firmengruppe_1_1,int0) & (card(firmengruppe_1_1,int1) & (sort(firmengruppe_1_1,io) & (sort(firmengruppe_1_1,d) & (varia(auto__1_1,varia_c) & (refer(auto__1_1,refer_c) & (quant(auto__1_1,one) & (gener(auto__1_1,ge) & (fact(auto__1_1,real) & (etype(auto__1_1,int0) & (card(auto__1_1,int1) & (sort(auto__1_1,d) & (varia(autokonzern_1_1,varia_c) & (refer(autokonzern_1_1,refer_c) & (quant(autokonzern_1_1,one) & (gener(autokonzern_1_1,ge) & (fact(autokonzern_1_1,real) & (etype(autokonzern_1_1,int0) & (card(autokonzern_1_1,int1) & (sort(autokonzern_1_1,io) & (sort(autokonzern_1_1,d) & (sub(luxusmarke_1_1,marke_1_1) & (assoc(luxusmarke_1_1,luxus__1_1) & (tupl_p8(c56046,c55667,c55669,c55687,c55693,c55995,c55999,c56024) & (val(c56025,royce_0) & (sub(c56025,eigenname_1_1) & (sub(c56024,mensch_1_1) & (attr(c56024,c56025) & (val(c56020,roll_0) & (sub(c56020,familiename_1_1) & (sub(c56019,mensch_1_1) & (attr(c56019,c56020) & (attr(c56019,c56008) & (sub(c56008,luxusmarke_1_1) & (prop(c56008,britisch__1_1) & (attch(c56008,c55999) & (subs(c55999,ankauf__1_1) & (subs(c55995,interesse_1_1) & (val(c55987,rover_0) & (sub(c55987,name_1_1) & (sub(c55986,firma_1_1) & (prop(c55986,britisch__1_1) & (attr(c55986,c55987) & (attch(c55986,c55693) & (subs(c55693,ankauf__1_1) & (sub(c55687,woche_1_1) & (prop(c55687,pass__351_1_1) & (val(c55668,bmw_0) & (sub(c55668,name_1_1) & (sub(c55667,autokonzern_1_1) & (prop(c55667,bundesdeutsch_1_1) & (attr(c55667,c55668) & (tupl(c34,c18,c21) & (sub(c21,feb_1_1) & (val(c19,london_0) & (sub(c19,name_1_1) & (sub(c18,stadt__1_1) & (attr(c18,c19) & (sub(autokonzern_1_1,firmengruppe_1_1) & assoc(autokonzern_1_1,auto__1_1))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))),
% 1.57/0.76 inference(negpush_and_skolemize,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984'])).
% 1.57/0.76 fof('ave07_era5_synth_qa07_007_mira_news_1091_a19984', hypothesis, ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((assoc(autokonzern_1_1,auto__1_1) & sub(autokonzern_1_1,firmengruppe_1_1)) & attr(c18,c19)) & sub(c18,stadt__1_1)) & sub(c19,name_1_1)) & val(c19,london_0)) & sub(c21,feb_1_1)) & tupl(c34,c18,c21)) & attr(c55667,c55668)) & prop(c55667,bundesdeutsch_1_1)) & sub(c55667,autokonzern_1_1)) & sub(c55668,name_1_1)) & val(c55668,bmw_0)) & prop(c55687,pass__351_1_1)) & sub(c55687,woche_1_1)) & subs(c55693,ankauf__1_1)) & attch(c55986,c55693)) & attr(c55986,c55987)) & prop(c55986,britisch__1_1)) & sub(c55986,firma_1_1)) & sub(c55987,name_1_1)) & val(c55987,rover_0)) & subs(c55995,interesse_1_1)) & subs(c55999,ankauf__1_1)) & attch(c56008,c55999)) & prop(c56008,britisch__1_1)) & sub(c56008,luxusmarke_1_1)) & attr(c56019,c56008)) & attr(c56019,c56020)) & sub(c56019,mensch_1_1)) & sub(c56020,familiename_1_1)) & val(c56020,roll_0)) & attr(c56024,c56025)) & sub(c56024,mensch_1_1)) & sub(c56025,eigenname_1_1)) & val(c56025,royce_0)) & tupl_p8(c56046,c55667,c55669,c55687,c55693,c55995,c55999,c56024)) & assoc(luxusmarke_1_1,luxus__1_1)) & sub(luxusmarke_1_1,marke_1_1)) & sort(autokonzern_1_1,d)) & sort(autokonzern_1_1,io)) & card(autokonzern_1_1,int1)) & etype(autokonzern_1_1,int0)) & fact(autokonzern_1_1,real)) & gener(autokonzern_1_1,ge)) & quant(autokonzern_1_1,one)) & refer(autokonzern_1_1,refer_c)) & varia(autokonzern_1_1,varia_c)) & sort(auto__1_1,d)) & card(auto__1_1,int1)) & etype(auto__1_1,int0)) & fact(auto__1_1,real)) & gener(auto__1_1,ge)) & quant(auto__1_1,one)) & refer(auto__1_1,refer_c)) & varia(auto__1_1,varia_c)) & sort(firmengruppe_1_1,d)) & sort(firmengruppe_1_1,io)) & card(firmengruppe_1_1,int1)) & etype(firmengruppe_1_1,int0)) & fact(firmengruppe_1_1,real)) & gener(firmengruppe_1_1,ge)) & quant(firmengruppe_1_1,one)) & refer(firmengruppe_1_1,refer_c)) & varia(firmengruppe_1_1,varia_c)) & sort(c18,d)) & sort(c18,io)) & card(c18,int1)) & etype(c18,int0)) & fact(c18,real)) & gener(c18,sp)) & quant(c18,one)) & refer(c18,det)) & varia(c18,con)) & sort(c19,na)) & card(c19,int1)) & etype(c19,int0)) & fact(c19,real)) & gener(c19,sp)) & quant(c19,one)) & refer(c19,indet)) & varia(c19,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(london_0,fe)) & sort(c21,o)) & card(c21,int1)) & etype(c21,int0)) & fact(c21,real)) & gener(c21,gener_c)) & quant(c21,one)) & refer(c21,refer_c)) & varia(c21,varia_c)) & sort(feb_1_1,o)) & card(feb_1_1,int1)) & etype(feb_1_1,int0)) & fact(feb_1_1,real)) & gener(feb_1_1,ge)) & quant(feb_1_1,one)) & refer(feb_1_1,refer_c)) & varia(feb_1_1,varia_c)) & sort(c34,ent)) & card(c34,card_c)) & etype(c34,etype_c)) & fact(c34,real)) & gener(c34,gener_c)) & quant(c34,quant_c)) & refer(c34,refer_c)) & varia(c34,varia_c)) & sort(c55667,d)) & sort(c55667,io)) & card(c55667,int1)) & etype(c55667,int0)) & fact(c55667,real)) & gener(c55667,sp)) & quant(c55667,one)) & refer(c55667,det)) & varia(c55667,con)) & sort(c55668,na)) & card(c55668,int1)) & etype(c55668,int0)) & fact(c55668,real)) & gener(c55668,sp)) & quant(c55668,one)) & refer(c55668,indet)) & varia(c55668,varia_c)) & sort(bundesdeutsch_1_1,tq)) & sort(bmw_0,fe)) & sort(c55687,me)) & sort(c55687,oa)) & sort(c55687,ta)) & card(c55687,card_c)) & etype(c55687,etype_c)) & fact(c55687,real)) & gener(c55687,sp)) & quant(c55687,quant_c)) & refer(c55687,det)) & varia(c55687,con)) & sort(pass__351_1_1,tq)) & sort(woche_1_1,me)) & sort(woche_1_1,oa)) & sort(woche_1_1,ta)) & card(woche_1_1,card_c)) & etype(woche_1_1,etype_c)) & fact(woche_1_1,real)) & gener(woche_1_1,ge)) & quant(woche_1_1,quant_c)) & refer(woche_1_1,refer_c)) & varia(woche_1_1,varia_c)) & sort(c55693,ad)) & card(c55693,int1)) & etype(c55693,int0)) & fact(c55693,real)) & gener(c55693,sp)) & quant(c55693,one)) & refer(c55693,det)) & varia(c55693,con)) & sort(ankauf__1_1,ad)) & card(ankauf__1_1,int1)) & etype(ankauf__1_1,int0)) & fact(ankauf__1_1,real)) & gener(ankauf__1_1,ge)) & quant(ankauf__1_1,one)) & refer(ankauf__1_1,refer_c)) & varia(ankauf__1_1,varia_c)) & sort(c55986,d)) & sort(c55986,io)) & card(c55986,int1)) & etype(c55986,int0)) & fact(c55986,real)) & gener(c55986,sp)) & quant(c55986,one)) & refer(c55986,det)) & varia(c55986,con)) & sort(c55987,na)) & card(c55987,int1)) & etype(c55987,int0)) & fact(c55987,real)) & gener(c55987,sp)) & quant(c55987,one)) & refer(c55987,indet)) & varia(c55987,varia_c)) & sort(britisch__1_1,nq)) & 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(rover_0,fe)) & sort(c55995,as)) & card(c55995,int1)) & etype(c55995,int0)) & fact(c55995,real)) & gener(c55995,gener_c)) & quant(c55995,one)) & refer(c55995,refer_c)) & varia(c55995,varia_c)) & sort(interesse_1_1,as)) & card(interesse_1_1,int1)) & etype(interesse_1_1,int0)) & fact(interesse_1_1,real)) & gener(interesse_1_1,ge)) & quant(interesse_1_1,one)) & refer(interesse_1_1,refer_c)) & varia(interesse_1_1,varia_c)) & sort(c55999,ad)) & card(c55999,int1)) & etype(c55999,int0)) & fact(c55999,real)) & gener(c55999,sp)) & quant(c55999,one)) & refer(c55999,det)) & varia(c55999,con)) & sort(c56008,io)) & sort(c56008,oa)) & card(c56008,int1)) & etype(c56008,int0)) & fact(c56008,real)) & gener(c56008,sp)) & quant(c56008,one)) & refer(c56008,det)) & varia(c56008,con)) & sort(luxusmarke_1_1,io)) & sort(luxusmarke_1_1,oa)) & card(luxusmarke_1_1,int1)) & etype(luxusmarke_1_1,int0)) & fact(luxusmarke_1_1,real)) & gener(luxusmarke_1_1,ge)) & quant(luxusmarke_1_1,one)) & refer(luxusmarke_1_1,refer_c)) & varia(luxusmarke_1_1,varia_c)) & sort(c56019,d)) & card(c56019,int1)) & etype(c56019,int0)) & fact(c56019,real)) & gener(c56019,sp)) & quant(c56019,one)) & refer(c56019,det)) & varia(c56019,con)) & sort(c56020,na)) & card(c56020,int1)) & etype(c56020,int0)) & fact(c56020,real)) & gener(c56020,sp)) & quant(c56020,one)) & refer(c56020,indet)) & varia(c56020,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(c56024,d)) & card(c56024,int1)) & etype(c56024,int0)) & fact(c56024,real)) & gener(c56024,sp)) & quant(c56024,one)) & refer(c56024,det)) & varia(c56024,con)) & sort(c56025,na)) & card(c56025,int1)) & etype(c56025,int0)) & fact(c56025,real)) & gener(c56025,sp)) & quant(c56025,one)) & refer(c56025,indet)) & varia(c56025,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(royce_0,fe)) & sort(c56046,ent)) & card(c56046,card_c)) & etype(c56046,etype_c)) & fact(c56046,real)) & gener(c56046,gener_c)) & quant(c56046,quant_c)) & refer(c56046,refer_c)) & varia(c56046,varia_c)) & sort(c55669,o)) & card(c55669,int1)) & etype(c55669,int0)) & fact(c55669,real)) & gener(c55669,sp)) & quant(c55669,one)) & refer(c55669,det)) & varia(c55669,varia_c)) & sort(luxus__1_1,io)) & card(luxus__1_1,int1)) & etype(luxus__1_1,int0)) & fact(luxus__1_1,real)) & gener(luxus__1_1,ge)) & quant(luxus__1_1,one)) & refer(luxus__1_1,refer_c)) & varia(luxus__1_1,varia_c)) & sort(marke_1_1,io)) & sort(marke_1_1,oa)) & card(marke_1_1,int1)) & etype(marke_1_1,int0)) & fact(marke_1_1,real)) & gener(marke_1_1,ge)) & quant(marke_1_1,one)) & refer(marke_1_1,refer_c)) & varia(marke_1_1,varia_c)),
% 1.57/0.76 input).
% 1.57/0.76 fof('synth_qa07_007_mira_news_1091_a19984_$sk', plain, (~val(X6,bmw_0) | (~sub(X6,name_1_1) | (~sub(X5,firma_1_1) | (~prop(X5,britisch__1_1) | (~obj(X4,X5) | (~attr(X1,X2) | ~attr(X3,X6))))))),
% 1.57/0.76 inference(negpush_and_skolemize,[],['synth_qa07_007_mira_news_1091_a19984'])).
% 1.57/0.76 fof('synth_qa07_007_mira_news_1091_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))),
% 1.57/0.76 input).
% 1.57/0.76 fof('$inc_loc__geben_1_1_loc_$sk', plain, ((subs($sk61(X1,X2),geben_1_1) & (obj($sk61(X1,X2),X2) & loc($sk61(X1,X2),X1))) | (~loc(X2,X1) | ~has_fact_leq(X2,real))),
% 1.57/0.76 inference(negpush_and_skolemize,[],['$inc_loc__geben_1_1_loc'])).
% 1.57/0.76 fof('$inc_loc__geben_1_1_loc', axiom, (! [X0,X1] : ((has_fact_leq(X1,real) & loc(X1,X0)) => (? [X2] : ((loc(X2,X0) & obj(X2,X1)) & subs(X2,geben_1_1))))),
% 1.57/0.76 input).
% 1.57/0.76 fof('$inc_has_fact_eq_$sk', plain, (has_fact_leq(X2,X1) | ~fact(X2,X1)),
% 1.57/0.76 inference(negpush_and_skolemize,[],['$inc_has_fact_eq'])).
% 1.57/0.76 fof('$inc_has_fact_eq', axiom, (! [X0,X1] : (fact(X0,X1) => has_fact_leq(X0,X1))),
% 1.57/0.76 input).
% 1.57/0.76 fof('$inc_state_adjective__in_state_$sk', plain, ((val($sk16(X1,X2,X3),X3) & (sub($sk16(X1,X2,X3),name_1_1) & (sub($sk15(X1,X2,X3),land_1_1) & (loc(X2,$sk14(X1,X2,X3)) & (attr($sk15(X1,X2,X3),$sk16(X1,X2,X3)) & in($sk14(X1,X2,X3),$sk15(X1,X2,X3))))))) | (~state_adjective_state_binding(X1,X3) | ~prop(X2,X1))),
% 1.57/0.76 inference(negpush_and_skolemize,[],['$inc_state_adjective__in_state'])).
% 1.57/0.76 fof('$inc_state_adjective__in_state', axiom, (! [X0,X1,X2] : ((prop(X0,X1) & state_adjective_state_binding(X1,X2)) => (? [X3,X4,X5] : (((((in(X5,X3) & attr(X3,X4)) & loc(X0,X5)) & sub(X3,land_1_1)) & sub(X4,name_1_1)) & val(X4,X2))))),
% 1.57/0.76 input).
% 1.57/0.76 fof('$inc_fact_8846', axiom, state_adjective_state_binding(britisch__1_1,grossbritannien_0),
% 1.57/0.76 input).
% 1.57/0.76 cnf('1', plain, (attr(c55667,c55668)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('2', plain, (attr(c55986,c55987)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('3', plain, (sub(c55986,firma_1_1)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('4', plain, (~val(X,bmw_0) | ~prop(Y,britisch__1_1) | ~attr(Z,X) | ~attr(U,V) | ~obj(W,Y) | ~sub(Y,firma_1_1) | ~sub(X,name_1_1)),
% 1.57/0.76 inference(cnf_transformation,[],['synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('5', plain, (prop(c55986,britisch__1_1)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('6', plain, (~val(X,bmw_0) | ~attr(Y,Z) | ~attr(U,X) | ~obj(V,c55986) | ~sub(X,name_1_1)),
% 1.57/0.76 inference(resolution,[then_simplify],['3','4','5'])).
% 1.57/0.76 cnf('7', plain, (~val(X,bmw_0) | ~attr(Y,X) | ~obj(Z,c55986) | ~sub(X,name_1_1)),
% 1.57/0.76 inference(resolution,[],['2','6'])).
% 1.57/0.76 cnf('8', plain, (val(c55668,bmw_0)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('9', plain, (sub(c55668,name_1_1)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('10', plain, (~obj(X,c55986)),
% 1.57/0.76 inference(resolution,[then_simplify],['1','7','8','9'])).
% 1.57/0.76 cnf('11', plain, (obj($sk61(X,Y),Y) | ~loc(Y,X) | ~has_fact_leq(Y,real)),
% 1.57/0.76 inference(cnf_transformation,[],['$inc_loc__geben_1_1_loc_$sk'])).
% 1.57/0.76 cnf('12', plain, (fact(c55986,real)),
% 1.57/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.57/0.76 cnf('13', plain, (~fact(X,Y) | has_fact_leq(X,Y)),
% 1.57/0.76 inference(cnf_transformation,[],['$inc_has_fact_eq_$sk'])).
% 1.57/0.76 cnf('14', plain, (has_fact_leq(c55986,real)),
% 1.57/0.76 inference(resolution,[],['12','13'])).
% 1.57/0.76 cnf('15', plain, (~loc(c55986,X)),
% 1.57/0.76 inference(resolution,[then_simplify],['10','11','14'])).
% 1.57/0.76 cnf('16', plain, (loc(X,$sk14(Y,X,Z)) | ~state_adjective_state_binding(Y,Z) | ~prop(X,Y)),
% 1.57/0.76 inference(cnf_transformation,[],['$inc_state_adjective__in_state_$sk'])).
% 1.76/0.76 cnf('17', plain, (~prop(c55986,X) | ~state_adjective_state_binding(X,Y)),
% 1.76/0.76 inference(resolution,[],['15','16'])).
% 1.76/0.76 cnf('18', plain, (prop(c55986,britisch__1_1)),
% 1.76/0.76 inference(cnf_transformation,[],['ave07_era5_synth_qa07_007_mira_news_1091_a19984_$sk'])).
% 1.76/0.76 cnf('19', plain, (state_adjective_state_binding(britisch__1_1,grossbritannien_0)),
% 1.76/0.76 inference(cnf_transformation,[],['$inc_fact_8846'])).
% 1.76/0.76 cnf('20', plain, ($false),
% 1.76/0.76 inference(resolution,[then_simplify],['17','18','19'])).
% 1.76/0.76
% 1.76/0.76 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 1.76/0.76
% 1.76/0.76 run 2 fork 1 statistics:
% 1.76/0.76 ----------------------------------
% 1.76/0.76 this run seconds: 0.020956
% 1.76/0.76 total seconds: 0.082897
% 1.76/0.76 stat_given_used: 254
% 1.76/0.76 stat_given_used_at_endgame: 0
% 1.76/0.76 stat_given_candidates: 348
% 1.76/0.76 stat_given_candidates_at_endgame: 0
% 1.76/0.76 stat_given_candidates_h: 0
% 1.76/0.76 stat_binres_derived_cl: 1096
% 1.76/0.76 stat_binres_derived_cl_h: 0
% 1.76/0.76 stat_factor_derived_cl: 1
% 1.76/0.76 stat_para_derived_cl: 0
% 1.76/0.76 stat_tautologies_discarded: 0
% 1.76/0.76 stat_forward_subsumed: 10
% 1.76/0.76 stat_derived_cut: 57
% 1.76/0.76 stat_derived_rewritten: 0
% 1.76/0.76 stat_weight_discarded_building: 0
% 1.76/0.76 stat_weight_discarded_cl: 0
% 1.76/0.76 stat_internlimit_discarded_cl: 0
% 1.76/0.76 stat_simplified: 0 simplified 0 derived 0 given
% 1.76/0.76 stat_kept_cl: 1086
% 1.76/0.76 stat_built_cl: 22382
% 1.76/0.76 stat_hyperres_partial_cl: 0
% 1.76/0.76 stat_made_rewriters: 0
% 1.76/0.76 stat_backward_subsumed: 0
% 1.76/0.76 stat_propagated_subsumed: 0
% 1.76/0.76 stat_clsubs_attempted: 194
% 1.76/0.76 stat_clsubs_fact_groundunit_found: 46
% 1.76/0.76 stat_clsubs_rule_groundunit_found: 0
% 1.76/0.76 stat_clsubs_top_meta_attempted: 1012
% 1.76/0.76 stat_clsubs_top_meta_failed: 818
% 1.76/0.76 stat_clsubs_top_meta_nonpref_attempted: 1012
% 1.76/0.76 stat_clsubs_top_meta_nonpref_succeeded: 255
% 1.76/0.76 stat_clsubs_top_meta_pref_attempted: 255
% 1.76/0.76 stat_clsubs_top_meta_pref1_succeeded: 218
% 1.76/0.76 stat_clsubs_top_meta_pref2_succeeded: 194
% 1.76/0.76 stat_clsubs_top_meta_pref3_succeeded: 194
% 1.76/0.76 stat_clsubs_top_meta_pref_succeeded: 194
% 1.76/0.76 stat_clsubs_meta_attempted: 1296
% 1.76/0.76 stat_clsubs_meta_failed: 747
% 1.76/0.76 stat_clsubs_predsymbs_attempted: 0
% 1.76/0.76 stat_clsubs_unit_attempted: 2
% 1.76/0.76 stat_clsubs_full_attempted: 192
% 1.76/0.76 stat_forwardsubs_attempted: 1097
% 1.76/0.76 stat_lit_hash_added: 21598
% 1.76/0.76 stat_lit_hash_computed: 28234
% 1.76/0.76 stat_lit_hash_match_found: 118
% 1.76/0.76 stat_lit_hash_match_miss: 9750
% 1.76/0.76 stat_lit_hash_cut_ok: 62
% 1.76/0.76 stat_lit_strong_cut_ok: 1
% 1.76/0.76 stat_lit_hash_subsume_ok: 10
% 1.76/0.76 clqueue els 10000000 used 1
% 1.76/0.76 clactive els 10000000 used 10649
% 1.76/0.76 clactivesubsume els 10000000 used 133
% 1.76/0.76 queue_termbuf els 200000000 used 50623
% 1.76/0.76 hyper_termbuf els 100000000 used 1
% 1.76/0.76 active_termbuf els 100000000 used 87930
% 1.76/0.76 varstack els 5000 last used 1
% 1.76/0.76 given_termbuf els 10000000 last used 1
% 1.76/0.76 simplified_termbuf els 10000000 last used 1
% 1.76/0.76 derived_termbuf els 10000000 last used 22
% 1.76/0.76 wr_mallocs: 121889
% 1.76/0.76 wr_callocs: 21
% 1.76/0.76 wr_reallocs: 301
% 1.76/0.76 wr_frees: 2
% 1.76/0.76 wr_malloc_bytes: 4166819556
% 1.76/0.76 wr_calloc_bytes: 112065536
% 1.76/0.76 wr_realloc_bytes: 700512
% 1.76/0.76 wr_realloc_freebytes: 0
% 1.76/0.76 ----------------------------------
%------------------------------------------------------------------------------