TSTP Solution File: CSR117+1 by Beagle---0.9.51
View Problem
- Process Solution
%------------------------------------------------------------------------------
% File : Beagle---0.9.51
% Problem : CSR117+1 : TPTP v8.1.2. Released v4.1.0.
% Transfm : none
% Format : tptp:raw
% Command : java -Dfile.encoding=UTF-8 -Xms512M -Xmx4G -Xss10M -jar /export/starexec/sandbox/solver/bin/beagle.jar -auto -q -proof -print tff -smtsolver /export/starexec/sandbox/solver/bin/cvc4-1.4-x86_64-linux-opt -liasolver cooper -t %d %s
% Computer : n004.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 : Tue Aug 22 10:36:40 EDT 2023
% Result : Theorem 119.87s 104.04s
% Output : CNFRefutation 119.87s
% Verified :
% SZS Type : -
% Comments :
%------------------------------------------------------------------------------
%----WARNING: Could not form TPTP format derivation
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.00/0.12 % Problem : CSR117+1 : TPTP v8.1.2. Released v4.1.0.
% 0.00/0.13 % Command : java -Dfile.encoding=UTF-8 -Xms512M -Xmx4G -Xss10M -jar /export/starexec/sandbox/solver/bin/beagle.jar -auto -q -proof -print tff -smtsolver /export/starexec/sandbox/solver/bin/cvc4-1.4-x86_64-linux-opt -liasolver cooper -t %d %s
% 0.13/0.34 % Computer : n004.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 : Thu Aug 3 21:07:41 EDT 2023
% 0.13/0.34 % CPUTime :
% 119.87/104.04 % SZS status Theorem for /export/starexec/sandbox/benchmark/theBenchmark.p
% 119.87/104.05
% 119.87/104.05 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 119.87/104.08 %$ latlong > s__orientation > s__capability > look_different > is_instance > capital_city > s__WaterArea > s__SymmetricPositionalAttribute > s__SymbolicString > s__SetOrClass > s__Sea > s__Region > s__PositionalAttribute > s__Object > s__Nation > s__GeopoliticalArea > s__GeographicArea > s__Entity > s__City > s__CaseRole > s__BodyOfWater > real > int > #nlpp > to_int > warsaw > vienna > sk > seoul > s__located__m > s__Warsaw > s__Vienna > s__UnitedStates > s__UnitedKingdom > s__Switzerland > s__Sweden > s__Spain > s__SouthKorea > s__Slovakia > s__Seoul > s__Prague > s__Portugal > s__Poland > s__Paris > s__OECDMemberEconomiesClass > s__Norway > s__NewZealand > s__Netherlands > s__Near > s__Moscow > s__Mexico > s__Luxembourg_City > s__Luxembourg > s__Lisbon > s__Italy > s__Iceland > s__Hungary > s__Helsinki > s__Greece > s__Germany > s__France > s__Flooding__t > s__Finland > s__Denmark > s__CzechRepublic > s__Copenhagen > s__CoastalCitiesClass > s__Canberra > s__Budapest > s__Brussels > s__Bratislava > s__Berlin > s__Belgium > s__Austria > s__Australia > s__Athens > ru > pt > prague > pl > paris > moscow > luxembourg_city > lu > lisbon > kr > hu > helsinki > gr > fr > fi > dk > de > cz > copenhagen > canberra > budapest > brussels > bratislava > berlin > be > au > athens > at > 60.17116 > 60 > 6.12997 > 55.75695 > 55.67631 > 55 > 52.516074 > 52.23537 > 52 > 50.848385 > 50.079083 > 50 > 49.609531 > 49 > 48.856925 > 48.202548 > 48.149245 > 48 > 47.506225 > 47 > 4.349685 > 38.725679 > 38 > 37.97615 > 37.614975 > 37.557121 > 37 > 24.93258 > 23.736415 > 21.009485 > 2.34121 > 19.06482 > 17.107005 > 16.368805 > 149.126556 > 14.43323 > 13.376987 > 126.977379 > 12.569355 > -9.150371 > -35.306541 > -35 > #skF_17 > #skF_11 > #skF_7 > #skF_10 > #skF_16 > #skF_15 > #skF_14 > #skF_5 > #skF_6 > #skF_13 > #skF_2 > #skF_3 > #skF_1 > #skF_9 > #skF_8 > #skF_4 > #skF_12
% 119.87/104.08
% 119.87/104.08 %Foreground sorts:
% 119.87/104.08
% 119.87/104.08
% 119.87/104.08 %Background operators:
% 119.87/104.08
% 119.87/104.08
% 119.87/104.08 %Foreground operators:
% 119.87/104.08 tff(s__Iceland, type, s__Iceland: $i).
% 119.87/104.08 tff(helsinki, type, helsinki: $i).
% 119.87/104.08 tff(copenhagen, type, copenhagen: $i).
% 119.87/104.08 tff(s__orientation, type, s__orientation: ($i * $i * $i) > $o).
% 119.87/104.08 tff(50, type, 50: $i).
% 119.87/104.08 tff(latlong, type, latlong: ($i * $i * $i * $i * $i) > $o).
% 119.87/104.08 tff(s__Slovakia, type, s__Slovakia: $i).
% 119.87/104.08 tff(s__Switzerland, type, s__Switzerland: $i).
% 119.87/104.08 tff(s__NewZealand, type, s__NewZealand: $i).
% 119.87/104.08 tff(48.202548, type, 48.202548: $i).
% 119.87/104.08 tff(is_instance, type, is_instance: ($i * $i) > $o).
% 119.87/104.08 tff(52, type, 52: $i).
% 119.87/104.08 tff(s__UnitedStates, type, s__UnitedStates: $i).
% 119.87/104.08 tff(37.97615, type, 37.97615: $i).
% 119.87/104.08 tff(12.569355, type, 12.569355: $i).
% 119.87/104.08 tff(real, type, real: $i > $o).
% 119.87/104.08 tff('#skF_17', type, '#skF_17': $i).
% 119.87/104.08 tff(s__Greece, type, s__Greece: $i).
% 119.87/104.08 tff(look_different, type, look_different: ($i * $i) > $o).
% 119.87/104.08 tff(48, type, 48: $i).
% 119.87/104.08 tff(17.107005, type, 17.107005: $i).
% 119.87/104.08 tff('#skF_11', type, '#skF_11': $i).
% 119.87/104.08 tff(moscow, type, moscow: $i).
% 119.87/104.08 tff(37.614975, type, 37.614975: $i).
% 119.87/104.08 tff(budapest, type, budapest: $i).
% 119.87/104.08 tff(s__SymmetricPositionalAttribute, type, s__SymmetricPositionalAttribute: $i > $o).
% 119.87/104.08 tff(s__Berlin, type, s__Berlin: $i).
% 119.87/104.08 tff(s__Austria, type, s__Austria: $i).
% 119.87/104.08 tff(49, type, 49: $i).
% 119.87/104.08 tff(50.079083, type, 50.079083: $i).
% 119.87/104.08 tff(s__SouthKorea, type, s__SouthKorea: $i).
% 119.87/104.08 tff(48.856925, type, 48.856925: $i).
% 119.87/104.08 tff(vienna, type, vienna: $i).
% 119.87/104.08 tff(52.516074, type, 52.516074: $i).
% 119.87/104.08 tff(s__Paris, type, s__Paris: $i).
% 119.87/104.08 tff(s__Australia, type, s__Australia: $i).
% 119.87/104.08 tff(s__Sea, type, s__Sea: $i > $o).
% 119.87/104.08 tff(dk, type, dk: $i).
% 119.87/104.08 tff(-9.150371, type, -9.150371: $i).
% 119.87/104.08 tff(pl, type, pl: $i).
% 119.87/104.08 tff(seoul, type, seoul: $i).
% 119.87/104.08 tff(14.43323, type, 14.43323: $i).
% 119.87/104.08 tff(s__Copenhagen, type, s__Copenhagen: $i).
% 119.87/104.08 tff(2.34121, type, 2.34121: $i).
% 119.87/104.08 tff(sk, type, sk: $i).
% 119.87/104.08 tff(berlin, type, berlin: $i).
% 119.87/104.08 tff(s__BodyOfWater, type, s__BodyOfWater: $i > $o).
% 119.87/104.08 tff(s__Belgium, type, s__Belgium: $i).
% 119.87/104.08 tff(16.368805, type, 16.368805: $i).
% 119.87/104.08 tff(s__City, type, s__City: $i > $o).
% 119.87/104.08 tff(s__CaseRole, type, s__CaseRole: $i > $o).
% 119.87/104.08 tff(s__Denmark, type, s__Denmark: $i).
% 119.87/104.08 tff('#skF_7', type, '#skF_7': $i).
% 119.87/104.08 tff(de, type, de: $i).
% 119.87/104.08 tff(37, type, 37: $i).
% 119.87/104.08 tff(be, type, be: $i).
% 119.87/104.08 tff(s__located__m, type, s__located__m: $i).
% 119.87/104.08 tff(s__CzechRepublic, type, s__CzechRepublic: $i).
% 119.87/104.08 tff(38.725679, type, 38.725679: $i).
% 119.87/104.08 tff('#skF_10', type, '#skF_10': $i).
% 119.87/104.08 tff(23.736415, type, 23.736415: $i).
% 119.87/104.08 tff(s__Mexico, type, s__Mexico: $i).
% 119.87/104.08 tff('#skF_16', type, '#skF_16': $i).
% 119.87/104.08 tff(55.75695, type, 55.75695: $i).
% 119.87/104.08 tff(warsaw, type, warsaw: $i).
% 119.87/104.08 tff(s__France, type, s__France: $i).
% 119.87/104.08 tff(s__Seoul, type, s__Seoul: $i).
% 119.87/104.08 tff(s__Sweden, type, s__Sweden: $i).
% 119.87/104.08 tff(s__Spain, type, s__Spain: $i).
% 119.87/104.08 tff(bratislava, type, bratislava: $i).
% 119.87/104.08 tff(13.376987, type, 13.376987: $i).
% 119.87/104.08 tff('#skF_15', type, '#skF_15': $i > $i).
% 119.87/104.08 tff(ru, type, ru: $i).
% 119.87/104.08 tff(60.17116, type, 60.17116: $i).
% 119.87/104.08 tff(kr, type, kr: $i).
% 119.87/104.08 tff(s__Canberra, type, s__Canberra: $i).
% 119.87/104.08 tff(at, type, at: $i).
% 119.87/104.08 tff('#skF_14', type, '#skF_14': $i).
% 119.87/104.08 tff(47, type, 47: $i).
% 119.87/104.08 tff(s__Bratislava, type, s__Bratislava: $i).
% 119.87/104.08 tff('#skF_5', type, '#skF_5': $i).
% 119.87/104.08 tff(24.93258, type, 24.93258: $i).
% 119.87/104.08 tff(int, type, int: $i > $o).
% 119.87/104.08 tff(38, type, 38: $i).
% 119.87/104.08 tff(canberra, type, canberra: $i).
% 119.87/104.08 tff(126.977379, type, 126.977379: $i).
% 119.87/104.08 tff(pt, type, pt: $i).
% 119.87/104.08 tff(s__SetOrClass, type, s__SetOrClass: $i > $o).
% 119.87/104.08 tff(s__Germany, type, s__Germany: $i).
% 119.87/104.08 tff(lu, type, lu: $i).
% 119.87/104.08 tff(paris, type, paris: $i).
% 119.87/104.08 tff(hu, type, hu: $i).
% 119.87/104.08 tff(s__WaterArea, type, s__WaterArea: $i > $o).
% 119.87/104.08 tff('#skF_6', type, '#skF_6': $i).
% 119.87/104.08 tff('#skF_13', type, '#skF_13': $i).
% 119.87/104.08 tff(s__Flooding__t, type, s__Flooding__t: $i).
% 119.87/104.08 tff('#skF_2', type, '#skF_2': $i).
% 119.87/104.08 tff(s__Brussels, type, s__Brussels: $i).
% 119.87/104.08 tff(48.149245, type, 48.149245: $i).
% 119.87/104.08 tff(47.506225, type, 47.506225: $i).
% 119.87/104.08 tff(s__Luxembourg_City, type, s__Luxembourg_City: $i).
% 119.87/104.08 tff('#skF_3', type, '#skF_3': $i).
% 119.87/104.08 tff(55, type, 55: $i).
% 119.87/104.08 tff('#skF_1', type, '#skF_1': $i).
% 119.87/104.08 tff(brussels, type, brussels: $i).
% 119.87/104.08 tff(to_int, type, to_int: $i > $i).
% 119.87/104.08 tff(s__Norway, type, s__Norway: $i).
% 119.87/104.08 tff(21.009485, type, 21.009485: $i).
% 119.87/104.08 tff(luxembourg_city, type, luxembourg_city: $i).
% 119.87/104.08 tff(-35, type, -35: $i).
% 119.87/104.08 tff(s__SymbolicString, type, s__SymbolicString: $i > $o).
% 119.87/104.08 tff(s__Poland, type, s__Poland: $i).
% 119.87/104.08 tff('#skF_9', type, '#skF_9': $i).
% 119.87/104.08 tff(s__Nation, type, s__Nation: $i > $o).
% 119.87/104.08 tff(s__PositionalAttribute, type, s__PositionalAttribute: $i > $o).
% 119.87/104.08 tff(s__Budapest, type, s__Budapest: $i).
% 119.87/104.08 tff(6.12997, type, 6.12997: $i).
% 119.87/104.08 tff(s__GeopoliticalArea, type, s__GeopoliticalArea: $i > $o).
% 119.87/104.08 tff(capital_city, type, capital_city: ($i * $i) > $o).
% 119.87/104.08 tff(s__Helsinki, type, s__Helsinki: $i).
% 119.87/104.08 tff(s__Vienna, type, s__Vienna: $i).
% 119.87/104.08 tff('#skF_8', type, '#skF_8': $i).
% 119.87/104.08 tff(s__Finland, type, s__Finland: $i).
% 119.87/104.08 tff(s__Near, type, s__Near: $i).
% 119.87/104.08 tff(au, type, au: $i).
% 119.87/104.08 tff(s__Prague, type, s__Prague: $i).
% 119.87/104.08 tff(50.848385, type, 50.848385: $i).
% 119.87/104.08 tff(athens, type, athens: $i).
% 119.87/104.08 tff('#skF_4', type, '#skF_4': $i).
% 119.87/104.08 tff(cz, type, cz: $i).
% 119.87/104.08 tff(s__Moscow, type, s__Moscow: $i).
% 119.87/104.08 tff(s__capability, type, s__capability: ($i * $i * $i) > $o).
% 119.87/104.08 tff(55.67631, type, 55.67631: $i).
% 119.87/104.08 tff(fr, type, fr: $i).
% 119.87/104.08 tff(149.126556, type, 149.126556: $i).
% 119.87/104.08 tff(s__Lisbon, type, s__Lisbon: $i).
% 119.87/104.08 tff(4.349685, type, 4.349685: $i).
% 119.87/104.08 tff(-35.306541, type, -35.306541: $i).
% 119.87/104.08 tff(s__Entity, type, s__Entity: $i > $o).
% 119.87/104.08 tff(s__OECDMemberEconomiesClass, type, s__OECDMemberEconomiesClass: $i).
% 119.87/104.08 tff(s__Object, type, s__Object: $i > $o).
% 119.87/104.08 tff(s__UnitedKingdom, type, s__UnitedKingdom: $i).
% 119.87/104.08 tff(s__Warsaw, type, s__Warsaw: $i).
% 119.87/104.08 tff(s__CoastalCitiesClass, type, s__CoastalCitiesClass: $i).
% 119.87/104.08 tff(s__Hungary, type, s__Hungary: $i).
% 119.87/104.08 tff(s__Luxembourg, type, s__Luxembourg: $i).
% 119.87/104.08 tff(s__Region, type, s__Region: $i > $o).
% 119.87/104.08 tff(s__Portugal, type, s__Portugal: $i).
% 119.87/104.08 tff(s__Netherlands, type, s__Netherlands: $i).
% 119.87/104.08 tff(s__GeographicArea, type, s__GeographicArea: $i > $o).
% 119.87/104.08 tff(gr, type, gr: $i).
% 119.87/104.08 tff(fi, type, fi: $i).
% 119.87/104.08 tff(s__Italy, type, s__Italy: $i).
% 119.87/104.08 tff(prague, type, prague: $i).
% 119.87/104.08 tff(19.06482, type, 19.06482: $i).
% 119.87/104.08 tff(49.609531, type, 49.609531: $i).
% 119.87/104.08 tff(37.557121, type, 37.557121: $i).
% 119.87/104.08 tff('#skF_12', type, '#skF_12': $i).
% 119.87/104.08 tff(60, type, 60: $i).
% 119.87/104.08 tff(s__Athens, type, s__Athens: $i).
% 119.87/104.08 tff(lisbon, type, lisbon: $i).
% 119.87/104.08 tff(52.23537, type, 52.23537: $i).
% 119.87/104.08
% 119.87/104.10 tff(f_294, axiom, real(37.614975), file('/export/starexec/sandbox/benchmark/theBenchmark.p', moscow_long_type)).
% 119.87/104.10 tff(f_295, axiom, s__SymbolicString(moscow), file('/export/starexec/sandbox/benchmark/theBenchmark.p', moscow_type)).
% 119.87/104.10 tff(f_296, axiom, s__SymbolicString(ru), file('/export/starexec/sandbox/benchmark/theBenchmark.p', ru_type)).
% 119.87/104.10 tff(f_297, axiom, latlong(s__Moscow, 55.75695, 37.614975, moscow, ru), file('/export/starexec/sandbox/benchmark/theBenchmark.p', latlong_s__Moscow)).
% 119.87/104.10 tff(f_163, axiom, s__Nation(s__Denmark), file('/export/starexec/sandbox/benchmark/theBenchmark.p', s__Denmark_type)).
% 119.87/104.10 tff(f_71, axiom, (![A]: (s__Nation(A) => s__GeopoliticalArea(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_6428)).
% 119.87/104.10 tff(f_67, axiom, (![A]: (s__GeopoliticalArea(A) => s__GeographicArea(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_6345)).
% 119.87/104.10 tff(f_63, axiom, (![A]: (s__GeographicArea(A) => s__Region(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_6365)).
% 119.87/104.10 tff(f_59, axiom, (![A]: (s__Region(A) => s__Object(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_701)).
% 119.87/104.10 tff(f_226, axiom, capital_city(s__Copenhagen, s__Denmark), file('/export/starexec/sandbox/benchmark/theBenchmark.p', s__Copenhagen_s__Denmark)).
% 119.87/104.10 tff(f_164, axiom, is_instance(s__Denmark, s__OECDMemberEconomiesClass), file('/export/starexec/sandbox/benchmark/theBenchmark.p', s__Denmark_OECD)).
% 119.87/104.10 tff(f_225, axiom, s__City(s__Copenhagen), file('/export/starexec/sandbox/benchmark/theBenchmark.p', s__Copenhagen_type)).
% 119.87/104.10 tff(f_155, axiom, is_instance(s__Copenhagen, s__CoastalCitiesClass), file('/export/starexec/sandbox/benchmark/theBenchmark.p', copenhagen_coastal)).
% 119.87/104.10 tff(f_103, axiom, (![City]: (s__City(City) => (is_instance(City, s__CoastalCitiesClass) => (?[Sea]: (s__Sea(Sea) & s__orientation(City, Sea, s__Near)))))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', coastal_cities_near_water)).
% 119.87/104.10 tff(f_87, axiom, (![A]: (s__Sea(A) => s__BodyOfWater(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_Domains_9679)).
% 119.87/104.10 tff(f_83, axiom, (![A]: (s__BodyOfWater(A) => s__WaterArea(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_Domains_9582)).
% 119.87/104.10 tff(f_111, axiom, (![W, C]: ((s__WaterArea(W) & s__City(C)) => (s__orientation(C, W, s__Near) => s__capability(s__Flooding__t, s__located__m, C)))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', flood_near_water)).
% 119.87/104.10 tff(f_75, axiom, (![A]: (s__City(A) => s__GeopoliticalArea(A))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', kb_SUMO_MILO_6437)).
% 119.87/104.10 tff(f_273, axiom, real(55.67631), file('/export/starexec/sandbox/benchmark/theBenchmark.p', copenhagen_lat_type)).
% 119.87/104.10 tff(f_274, axiom, real(12.569355), file('/export/starexec/sandbox/benchmark/theBenchmark.p', copenhagen_long_type)).
% 119.87/104.10 tff(f_275, axiom, s__SymbolicString(copenhagen), file('/export/starexec/sandbox/benchmark/theBenchmark.p', copenhagen_type)).
% 119.87/104.10 tff(f_276, axiom, s__SymbolicString(dk), file('/export/starexec/sandbox/benchmark/theBenchmark.p', dk_type)).
% 119.87/104.10 tff(f_329, axiom, look_different(s__Copenhagen, s__Moscow), file('/export/starexec/sandbox/benchmark/theBenchmark.p', s__Copenhagen_not_s__Moscow)).
% 119.87/104.10 tff(f_360, axiom, (to_int(55.67631) = 55), file('/export/starexec/sandbox/benchmark/theBenchmark.p', 55.67631_55)).
% 119.87/104.10 tff(f_277, axiom, latlong(s__Copenhagen, 55.67631, 12.569355, copenhagen, dk), file('/export/starexec/sandbox/benchmark/theBenchmark.p', latlong_s__Copenhagen)).
% 119.87/104.10 tff(f_293, axiom, real(55.75695), file('/export/starexec/sandbox/benchmark/theBenchmark.p', moscow_lat_type)).
% 119.87/104.10 tff(f_361, axiom, (to_int(55.75695) = 55), file('/export/starexec/sandbox/benchmark/theBenchmark.p', 55.75695_55)).
% 119.87/104.10 tff(f_148, negated_conjecture, ~(?[City, Nation, CityLat, CityLong, CityName, CityNation, Latitude, MoscowLat, MoscowLong, MoscowName, MoscowNation]: (((((((((((((((((s__Object(City) & s__Object(Nation)) & real(CityLat)) & real(CityLong)) & s__SymbolicString(CityName)) & s__SymbolicString(CityNation)) & int(Latitude)) & real(MoscowLat)) & real(MoscowLong)) & s__SymbolicString(MoscowName)) & s__SymbolicString(MoscowNation)) & is_instance(Nation, s__OECDMemberEconomiesClass)) & capital_city(City, Nation)) & look_different(City, s__Moscow)) & latlong(City, CityLat, CityLong, CityName, CityNation)) & latlong(s__Moscow, MoscowLat, MoscowLong, MoscowName, MoscowNation)) & (to_int(CityLat) = to_int(MoscowLat))) & s__capability(s__Flooding__t, s__located__m, City))), file('/export/starexec/sandbox/benchmark/theBenchmark.p', where)).
% 119.87/104.10 tff(f_356, axiom, int(52), file('/export/starexec/sandbox/benchmark/theBenchmark.p', 52_type)).
% 119.87/104.10 tff(c_342, plain, (real(37.614975)), inference(cnfTransformation, [status(thm)], [f_294])).
% 119.87/104.10 tff(c_344, plain, (s__SymbolicString(moscow)), inference(cnfTransformation, [status(thm)], [f_295])).
% 119.87/104.10 tff(c_346, plain, (s__SymbolicString(ru)), inference(cnfTransformation, [status(thm)], [f_296])).
% 119.87/104.10 tff(c_348, plain, (latlong(s__Moscow, 55.75695, 37.614975, moscow, ru)), inference(cnfTransformation, [status(thm)], [f_297])).
% 119.87/104.10 tff(c_80, plain, (s__Nation(s__Denmark)), inference(cnfTransformation, [status(thm)], [f_163])).
% 119.87/104.10 tff(c_1350, plain, (![A_88]: (s__GeopoliticalArea(A_88) | ~s__Nation(A_88))), inference(cnfTransformation, [status(thm)], [f_71])).
% 119.87/104.10 tff(c_1454, plain, (s__GeopoliticalArea(s__Denmark)), inference(resolution, [status(thm)], [c_80, c_1350])).
% 119.87/104.10 tff(c_1876, plain, (![A_120]: (s__GeographicArea(A_120) | ~s__GeopoliticalArea(A_120))), inference(cnfTransformation, [status(thm)], [f_67])).
% 119.87/104.10 tff(c_1970, plain, (s__GeographicArea(s__Denmark)), inference(resolution, [status(thm)], [c_1454, c_1876])).
% 119.87/104.10 tff(c_916, plain, (![A_81]: (s__Region(A_81) | ~s__GeographicArea(A_81))), inference(cnfTransformation, [status(thm)], [f_63])).
% 119.87/104.10 tff(c_30, plain, (![A_1]: (s__Object(A_1) | ~s__Region(A_1))), inference(cnfTransformation, [status(thm)], [f_59])).
% 119.87/104.10 tff(c_920, plain, (![A_81]: (s__Object(A_81) | ~s__GeographicArea(A_81))), inference(resolution, [status(thm)], [c_916, c_30])).
% 119.87/104.10 tff(c_206, plain, (capital_city(s__Copenhagen, s__Denmark)), inference(cnfTransformation, [status(thm)], [f_226])).
% 119.87/104.10 tff(c_82, plain, (is_instance(s__Denmark, s__OECDMemberEconomiesClass)), inference(cnfTransformation, [status(thm)], [f_164])).
% 119.87/104.10 tff(c_204, plain, (s__City(s__Copenhagen)), inference(cnfTransformation, [status(thm)], [f_225])).
% 119.87/104.10 tff(c_70, plain, (is_instance(s__Copenhagen, s__CoastalCitiesClass)), inference(cnfTransformation, [status(thm)], [f_155])).
% 119.87/104.10 tff(c_3599, plain, (![City_251]: (s__Sea('#skF_15'(City_251)) | ~is_instance(City_251, s__CoastalCitiesClass) | ~s__City(City_251))), inference(cnfTransformation, [status(thm)], [f_103])).
% 119.87/104.10 tff(c_44, plain, (![A_8]: (s__BodyOfWater(A_8) | ~s__Sea(A_8))), inference(cnfTransformation, [status(thm)], [f_87])).
% 119.87/104.10 tff(c_3603, plain, (![City_251]: (s__BodyOfWater('#skF_15'(City_251)) | ~is_instance(City_251, s__CoastalCitiesClass) | ~s__City(City_251))), inference(resolution, [status(thm)], [c_3599, c_44])).
% 119.87/104.10 tff(c_42, plain, (![A_7]: (s__WaterArea(A_7) | ~s__BodyOfWater(A_7))), inference(cnfTransformation, [status(thm)], [f_83])).
% 119.87/104.10 tff(c_54, plain, (![City_10]: (s__orientation(City_10, '#skF_15'(City_10), s__Near) | ~is_instance(City_10, s__CoastalCitiesClass) | ~s__City(City_10))), inference(cnfTransformation, [status(thm)], [f_103])).
% 119.87/104.10 tff(c_3750, plain, (![C_259, W_260]: (s__capability(s__Flooding__t, s__located__m, C_259) | ~s__orientation(C_259, W_260, s__Near) | ~s__City(C_259) | ~s__WaterArea(W_260))), inference(cnfTransformation, [status(thm)], [f_111])).
% 119.87/104.10 tff(c_26875, plain, (![City_455]: (s__capability(s__Flooding__t, s__located__m, City_455) | ~s__WaterArea('#skF_15'(City_455)) | ~is_instance(City_455, s__CoastalCitiesClass) | ~s__City(City_455))), inference(resolution, [status(thm)], [c_54, c_3750])).
% 119.87/104.10 tff(c_43268, plain, (![City_595]: (s__capability(s__Flooding__t, s__located__m, City_595) | ~is_instance(City_595, s__CoastalCitiesClass) | ~s__City(City_595) | ~s__BodyOfWater('#skF_15'(City_595)))), inference(resolution, [status(thm)], [c_42, c_26875])).
% 119.87/104.10 tff(c_43569, plain, (![City_606]: (s__capability(s__Flooding__t, s__located__m, City_606) | ~is_instance(City_606, s__CoastalCitiesClass) | ~s__City(City_606))), inference(resolution, [status(thm)], [c_3603, c_43268])).
% 119.87/104.10 tff(c_38, plain, (![A_5]: (s__GeopoliticalArea(A_5) | ~s__City(A_5))), inference(cnfTransformation, [status(thm)], [f_75])).
% 119.87/104.10 tff(c_1964, plain, (![A_5]: (s__GeographicArea(A_5) | ~s__City(A_5))), inference(resolution, [status(thm)], [c_38, c_1876])).
% 119.87/104.10 tff(c_300, plain, (real(55.67631)), inference(cnfTransformation, [status(thm)], [f_273])).
% 119.87/104.10 tff(c_302, plain, (real(12.569355)), inference(cnfTransformation, [status(thm)], [f_274])).
% 119.87/104.10 tff(c_304, plain, (s__SymbolicString(copenhagen)), inference(cnfTransformation, [status(thm)], [f_275])).
% 119.87/104.10 tff(c_306, plain, (s__SymbolicString(dk)), inference(cnfTransformation, [status(thm)], [f_276])).
% 119.87/104.10 tff(c_412, plain, (look_different(s__Copenhagen, s__Moscow)), inference(cnfTransformation, [status(thm)], [f_329])).
% 119.87/104.10 tff(c_474, plain, (to_int(55.67631)=55), inference(cnfTransformation, [status(thm)], [f_360])).
% 119.87/104.10 tff(c_308, plain, (latlong(s__Copenhagen, 55.67631, 12.569355, copenhagen, dk)), inference(cnfTransformation, [status(thm)], [f_277])).
% 119.87/104.10 tff(c_340, plain, (real(55.75695)), inference(cnfTransformation, [status(thm)], [f_293])).
% 119.87/104.10 tff(c_476, plain, (to_int(55.75695)=55), inference(cnfTransformation, [status(thm)], [f_361])).
% 119.87/104.10 tff(c_60, plain, (![MoscowLat_21, MoscowName_23, CityName_18, City_14, Nation_15, MoscowNation_24, MoscowLong_22, CityLong_17, CityLat_16, CityNation_19, Latitude_20]: (~s__capability(s__Flooding__t, s__located__m, City_14) | to_int(MoscowLat_21)!=to_int(CityLat_16) | ~latlong(s__Moscow, MoscowLat_21, MoscowLong_22, MoscowName_23, MoscowNation_24) | ~latlong(City_14, CityLat_16, CityLong_17, CityName_18, CityNation_19) | ~look_different(City_14, s__Moscow) | ~capital_city(City_14, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__SymbolicString(MoscowNation_24) | ~s__SymbolicString(MoscowName_23) | ~real(MoscowLong_22) | ~real(MoscowLat_21) | ~int(Latitude_20) | ~s__SymbolicString(CityNation_19) | ~s__SymbolicString(CityName_18) | ~real(CityLong_17) | ~real(CityLat_16) | ~s__Object(Nation_15) | ~s__Object(City_14))), inference(cnfTransformation, [status(thm)], [f_148])).
% 119.87/104.10 tff(c_541, plain, (![MoscowLat_21, MoscowName_23, CityName_18, City_14, Nation_15, MoscowNation_24, MoscowLong_22, CityLong_17, CityLat_16, CityNation_19]: (~s__capability(s__Flooding__t, s__located__m, City_14) | to_int(MoscowLat_21)!=to_int(CityLat_16) | ~latlong(s__Moscow, MoscowLat_21, MoscowLong_22, MoscowName_23, MoscowNation_24) | ~latlong(City_14, CityLat_16, CityLong_17, CityName_18, CityNation_19) | ~look_different(City_14, s__Moscow) | ~capital_city(City_14, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__SymbolicString(MoscowNation_24) | ~s__SymbolicString(MoscowName_23) | ~real(MoscowLong_22) | ~real(MoscowLat_21) | ~s__SymbolicString(CityNation_19) | ~s__SymbolicString(CityName_18) | ~real(CityLong_17) | ~real(CityLat_16) | ~s__Object(Nation_15) | ~s__Object(City_14))), inference(splitLeft, [status(thm)], [c_60])).
% 119.87/104.10 tff(c_637, plain, (![MoscowName_23, CityName_18, City_14, Nation_15, MoscowNation_24, MoscowLong_22, CityLong_17, CityLat_16, CityNation_19]: (~s__capability(s__Flooding__t, s__located__m, City_14) | to_int(CityLat_16)!=55 | ~latlong(s__Moscow, 55.75695, MoscowLong_22, MoscowName_23, MoscowNation_24) | ~latlong(City_14, CityLat_16, CityLong_17, CityName_18, CityNation_19) | ~look_different(City_14, s__Moscow) | ~capital_city(City_14, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__SymbolicString(MoscowNation_24) | ~s__SymbolicString(MoscowName_23) | ~real(MoscowLong_22) | ~real(55.75695) | ~s__SymbolicString(CityNation_19) | ~s__SymbolicString(CityName_18) | ~real(CityLong_17) | ~real(CityLat_16) | ~s__Object(Nation_15) | ~s__Object(City_14))), inference(superposition, [status(thm), theory('equality')], [c_476, c_541])).
% 119.87/104.10 tff(c_643, plain, (![MoscowName_23, CityName_18, City_14, Nation_15, MoscowNation_24, MoscowLong_22, CityLong_17, CityLat_16, CityNation_19]: (~s__capability(s__Flooding__t, s__located__m, City_14) | to_int(CityLat_16)!=55 | ~latlong(s__Moscow, 55.75695, MoscowLong_22, MoscowName_23, MoscowNation_24) | ~latlong(City_14, CityLat_16, CityLong_17, CityName_18, CityNation_19) | ~look_different(City_14, s__Moscow) | ~capital_city(City_14, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__SymbolicString(MoscowNation_24) | ~s__SymbolicString(MoscowName_23) | ~real(MoscowLong_22) | ~s__SymbolicString(CityNation_19) | ~s__SymbolicString(CityName_18) | ~real(CityLong_17) | ~real(CityLat_16) | ~s__Object(Nation_15) | ~s__Object(City_14))), inference(demodulation, [status(thm), theory('equality')], [c_340, c_637])).
% 119.87/104.10 tff(c_647, plain, (![CityName_18, City_14, Nation_15, CityLong_17, CityLat_16, CityNation_19]: (to_int(CityLat_16)!=55 | ~s__capability(s__Flooding__t, s__located__m, City_14) | ~latlong(City_14, CityLat_16, CityLong_17, CityName_18, CityNation_19) | ~look_different(City_14, s__Moscow) | ~capital_city(City_14, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__SymbolicString(CityNation_19) | ~s__SymbolicString(CityName_18) | ~real(CityLong_17) | ~real(CityLat_16) | ~s__Object(Nation_15) | ~s__Object(City_14))), inference(splitLeft, [status(thm)], [c_643])).
% 119.87/104.10 tff(c_2955, plain, (![Nation_15]: (to_int(55.67631)!=55 | ~s__capability(s__Flooding__t, s__located__m, s__Copenhagen) | ~look_different(s__Copenhagen, s__Moscow) | ~capital_city(s__Copenhagen, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__SymbolicString(dk) | ~s__SymbolicString(copenhagen) | ~real(12.569355) | ~real(55.67631) | ~s__Object(Nation_15) | ~s__Object(s__Copenhagen))), inference(resolution, [status(thm)], [c_308, c_647])).
% 119.87/104.10 tff(c_2978, plain, (![Nation_15]: (~s__capability(s__Flooding__t, s__located__m, s__Copenhagen) | ~capital_city(s__Copenhagen, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__Object(Nation_15) | ~s__Object(s__Copenhagen))), inference(demodulation, [status(thm), theory('equality')], [c_300, c_302, c_304, c_306, c_412, c_474, c_2955])).
% 119.87/104.10 tff(c_37592, plain, (~s__Object(s__Copenhagen)), inference(splitLeft, [status(thm)], [c_2978])).
% 119.87/104.10 tff(c_37617, plain, (~s__GeographicArea(s__Copenhagen)), inference(resolution, [status(thm)], [c_920, c_37592])).
% 119.87/104.10 tff(c_38506, plain, (~s__City(s__Copenhagen)), inference(resolution, [status(thm)], [c_1964, c_37617])).
% 119.87/104.10 tff(c_38511, plain, $false, inference(demodulation, [status(thm), theory('equality')], [c_204, c_38506])).
% 119.87/104.10 tff(c_38512, plain, (![Nation_15]: (~s__capability(s__Flooding__t, s__located__m, s__Copenhagen) | ~capital_city(s__Copenhagen, Nation_15) | ~is_instance(Nation_15, s__OECDMemberEconomiesClass) | ~s__Object(Nation_15))), inference(splitRight, [status(thm)], [c_2978])).
% 119.87/104.10 tff(c_43275, plain, (~s__capability(s__Flooding__t, s__located__m, s__Copenhagen)), inference(splitLeft, [status(thm)], [c_38512])).
% 119.87/104.10 tff(c_43575, plain, (~is_instance(s__Copenhagen, s__CoastalCitiesClass) | ~s__City(s__Copenhagen)), inference(resolution, [status(thm)], [c_43569, c_43275])).
% 119.87/104.10 tff(c_43621, plain, $false, inference(demodulation, [status(thm), theory('equality')], [c_204, c_70, c_43575])).
% 119.87/104.10 tff(c_43626, plain, (![Nation_607]: (~capital_city(s__Copenhagen, Nation_607) | ~is_instance(Nation_607, s__OECDMemberEconomiesClass) | ~s__Object(Nation_607))), inference(splitRight, [status(thm)], [c_38512])).
% 119.87/104.10 tff(c_43683, plain, (~capital_city(s__Copenhagen, s__Denmark) | ~s__Object(s__Denmark)), inference(resolution, [status(thm)], [c_82, c_43626])).
% 119.87/104.10 tff(c_43725, plain, (~s__Object(s__Denmark)), inference(demodulation, [status(thm), theory('equality')], [c_206, c_43683])).
% 119.87/104.10 tff(c_43763, plain, (~s__GeographicArea(s__Denmark)), inference(resolution, [status(thm)], [c_920, c_43725])).
% 119.87/104.10 tff(c_43767, plain, $false, inference(demodulation, [status(thm), theory('equality')], [c_1970, c_43763])).
% 119.87/104.10 tff(c_43768, plain, (![MoscowLong_22, MoscowName_23, MoscowNation_24]: (~latlong(s__Moscow, 55.75695, MoscowLong_22, MoscowName_23, MoscowNation_24) | ~s__SymbolicString(MoscowNation_24) | ~s__SymbolicString(MoscowName_23) | ~real(MoscowLong_22))), inference(splitRight, [status(thm)], [c_643])).
% 119.87/104.10 tff(c_45688, plain, (~s__SymbolicString(ru) | ~s__SymbolicString(moscow) | ~real(37.614975)), inference(resolution, [status(thm)], [c_348, c_43768])).
% 119.87/104.10 tff(c_45700, plain, $false, inference(demodulation, [status(thm), theory('equality')], [c_342, c_344, c_346, c_45688])).
% 119.87/104.10 tff(c_45701, plain, (![Latitude_20]: (~int(Latitude_20))), inference(splitRight, [status(thm)], [c_60])).
% 119.87/104.10 tff(c_466, plain, (int(52)), inference(cnfTransformation, [status(thm)], [f_356])).
% 119.87/104.10 tff(c_45705, plain, $false, inference(negUnitSimplification, [status(thm)], [c_45701, c_466])).
% 119.87/104.10 % SZS output end CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% 119.87/104.10
% 119.87/104.10 Inference rules
% 119.87/104.10 ----------------------
% 119.87/104.10 #Ref : 1
% 119.87/104.10 #Sup : 10029
% 119.87/104.10 #Fact : 0
% 119.87/104.10 #Define : 0
% 119.87/104.10 #Split : 1161
% 119.87/104.10 #Chain : 0
% 119.87/104.10 #Close : 0
% 119.87/104.10
% 119.87/104.10 Ordering : KBO
% 119.87/104.10
% 119.87/104.10 Simplification rules
% 119.87/104.10 ----------------------
% 119.87/104.10 #Subsume : 3945
% 119.87/104.10 #Demod : 2638
% 119.87/104.10 #Tautology : 83
% 119.87/104.10 #SimpNegUnit : 3
% 119.87/104.10 #BackRed : 3
% 119.87/104.10
% 119.87/104.10 #Partial instantiations: 0
% 119.87/104.10 #Strategies tried : 1
% 119.87/104.10
% 119.87/104.10 Timing (in seconds)
% 119.87/104.10 ----------------------
% 119.87/104.10 Preprocessing : 0.74
% 119.87/104.10 Parsing : 0.41
% 119.87/104.10 CNF conversion : 0.06
% 119.87/104.10 Main loop : 102.29
% 119.87/104.10 Inferencing : 23.39
% 119.87/104.10 Reduction : 47.67
% 119.87/104.10 Demodulation : 30.43
% 119.87/104.10 BG Simplification : 0.10
% 119.87/104.10 Subsumption : 21.31
% 119.87/104.10 Abstraction : 0.91
% 119.87/104.10 MUC search : 0.00
% 119.87/104.10 Cooper : 0.00
% 119.87/104.10 Total : 103.10
% 119.87/104.10 Index Insertion : 0.00
% 119.87/104.10 Index Deletion : 0.00
% 119.87/104.10 Index Matching : 0.00
% 119.87/104.10 BG Taut test : 0.00
%------------------------------------------------------------------------------