text: SELECT tab2.country1 AS country1 , tab6.person AS person , tab4.player AS player , tab7.country2 AS country2 , tab1.cityType AS cityType , tab3.inst AS inst , tab0.capital AS capital , tab8.population AS population , tab5.city AS city 
   FROM    (SELECT sub AS cityType 
  	 FROM skos__prefLabel$$2$$
  	 
  	 WHERE obj = '"city"@eng'
  	) tab1
   JOIN    (SELECT obj AS cityType , sub AS capital 
  	 FROM rdf__type$$1$$
  	) tab0
   ON(tab1.cityType=tab0.cityType)
   JOIN    (SELECT sub AS country1 , obj AS capital 
  	 FROM _L_hasCapital_B_$$3$$
  	) tab2
   ON(tab0.capital=tab2.capital)
   JOIN    (SELECT obj AS inst , sub AS capital 
  	 FROM _L_linksTo_B_$$4$$
  	) tab3
   ON(tab2.capital=tab3.capital)
   JOIN    (SELECT sub AS player , obj AS inst 
  	 FROM _L_playsFor_B_$$5$$
  	) tab4
   ON(tab3.inst=tab4.inst)
   JOIN    (SELECT sub AS player , obj AS city 
  	 FROM _L_wasBornIn_B_$$6$$
  	) tab5
   ON(tab4.player=tab5.player)
   JOIN    (SELECT sub AS person , obj AS city 
  	 FROM _L_diedIn_B_$$7$$
  	) tab6
   ON(tab5.city=tab6.city)
   JOIN    (SELECT sub AS person , obj AS country2 
  	 FROM _L_isCitizenOf_B_$$8$$
  	
  	) tab7
   ON(tab6.person=tab7.person)
   JOIN    (SELECT sub AS country2 , obj AS population 
  	 FROM _L_hasNumberOfPeople_B_$$9$$
  	
  	) tab8
   ON(tab7.country2=tab8.country2)
  
  
  ++++++Tables Statistic
  _L_hasNumberOfPeople_B_$$9$$	1	SO	_L_hasNumberOfPeople_B_/_L_isCitizenOf_B_
  	VP	<hasNumberOfPeople>	230745
  	SO	<hasNumberOfPeople><isCitizenOf>	239	0.0
  ------
  _L_playsFor_B_$$5$$	0	VP	_L_playsFor_B_/
  	VP	<playsFor>	412388
  	SS	<playsFor><wasBornIn>	173640	0.42
  ------
  _L_hasCapital_B_$$3$$	0	VP	_L_hasCapital_B_/
  	VP	<hasCapital>	1937
  	OS	<hasCapital><rdf__type>	1937	1.0
  	OS	<hasCapital><linksTo>	1936	1.0
  ------
  rdf__type$$1$$	2	SO	rdf__type/_L_hasCapital_B_
  	VP	<rdf__type>	61165359
  	OS	<rdf__type><skos__prefLabel>	42863266	0.7
  	SO	<rdf__type><hasCapital>	38308	0.0
  	SS	<rdf__type><linksTo>	60208765	0.98
  ------
  _L_isCitizenOf_B_$$8$$	0	VP	_L_isCitizenOf_B_/
  	VP	<isCitizenOf>	46060
  	SS	<isCitizenOf><diedIn>	6811	0.15
  	OS	<isCitizenOf><hasNumberOfPeople>	19987	0.43
  ------
  skos__prefLabel$$2$$	1	SO	skos__prefLabel/rdf__type
  	VP	<skos__prefLabel>	2954875
  	SO	<skos__prefLabel><rdf__type>	8678	0.0
  ------
  _L_diedIn_B_$$7$$	0	VP	_L_diedIn_B_/
  	VP	<diedIn>	54174
  	SS	<diedIn><isCitizenOf>	6736	0.12
  ------
  _L_linksTo_B_$$4$$	2	SO	_L_linksTo_B_/_L_hasCapital_B_
  	VP	<linksTo>	38048450
  	SS	<linksTo><rdf__type>	38048450	1.0
  	SO	<linksTo><hasCapital>	103623	0.0
  ------
  _L_wasBornIn_B_$$6$$	0	VP	_L_wasBornIn_B_/
  	VP	<wasBornIn>	218757
  	SS	<wasBornIn><playsFor>	38231	0.17
  ------
  