 builder captures facts from one of the simplest kind of sentences. A subject directly connected to an object with a predicate."
    }, {
      "heading" : "4. Triples 37",
      "text" : "nsubj-VB\neats VBZ\ncat NN\nThe DT\ndet\nnsubj\nInput text The cat eats.\nQuery\n(fresh [subj vb] (noun◦ subj) (tag◦ vb [\"VBZ\" \"VBD\" \"VBP\"]) (depends subj \"nsubj\" vb) (≡ triple [subj :be vb]))\nTriples found\ncat :be eat\nSome sentences have intransitive verbs24 and no object. However, they might still contain useful information. Here we capture the fact that the cat eats. To do this, the verb becomes our triple object and we use a derived predicate :be. This mirrors the behavior used in e.g. the triple builder nsubj-amod for adjectives. We limit ourselves to sentence with verbs that are in the past tense (tag VBD) or singular present (tags VBP and VBZ) to not always trigger this triple builder for all sentences with an nsubj relation between a noun and a verb.\nnsubj-adj-cop\nis VBZ often RBcat NN\nThe DT\nfull JJ\nnsubj advmod\ndet\ncop\nInput text The cat is often full.\nQuery\n(fresh [subject adj cop] (depends subject \"nsubj\" adj) (depends cop \"cop\" adj) (≡ triple [subject cop adj]))\nTriples found\ncat be full\nThis triple builder captures adjectives of subjects, e.g. that the cat is full. We can qualify the object full with an additional triple. See the next triple builder nsubj-advmod.\n24verbs with no object"
    }, {
      "heading" : "38 4.1. Triple builders",
      "text" : "nsubj-advmod\noften RBis VBZ\nThe DT\ncat NN\nfull JJ\nnsubj\ndet\nadvmod\ncop\nInput text The cat is often full.\n
builder captures facts from one of the simplest kind of sentences. A national immediately connected to an object with a predicate. " 
     }, { 
       " lead ": " 4. trio 37 ", 
       " text ": " nsubj - VB\neats VBZ\ncat NN\nThe DT\ndet\nnsubj\nInput text The caterpillar eats.\nQuery\n(fresh [ subj vb ] (noun ◦ subj) (rag ◦ vb [ \"VBZ\ " \"VBD\ " \"VBP\ " ]) (depends subj \"nsubj\ " vb) (≡ triple [ subj: be vb]))\nTriples found\ncat: be eat\nSome sentences have intransitive verbs24 and no object. However, they might even contain useful data. Here we capture the fact that the cat eats. To do this, the verb becomes our triple object and we practice a derived predicate: be. This mirrors the behavior use in e.g. the triple builder nsubj - amod for adjective. We limit ourselves to sentence with verb that are in the past tense (tag VBD) or singular present (tags VBP and VBZ) to not always trigger this triple builder for all prison term with an nsubj relation between a noun and a verb.\nnsubj - adj - cop\nis VBZ often RBcat NN\nThe DT\nfull JJ\nnsubj advmod\ndet\ncop\nInput text The cat is often full.\nQuery\n(fresh [ subject adj cop ] (depends subject \"nsubj\ " adj) (depends cop \"cop\ " adj) (≡ triple [ subject cop adj]))\nTriples found\ncat be full\nThis triple builder captures adjectives of subjects, e.g. that the guy is full. We can qualify the aim wide with an extra triple. See the next triple builder nsubj - advmod.\n24verbs with no object " 
     }, { 
       " heading ": " 38 4.1. Triple builders ", 
       " textbook ": " nsubj - advmod\noften RBis VBZ\nThe DT\ncat NN\nfull JJ\nnsubj\ndet\nadvmod\ncop\nInput text The cat is often full.\n
 bullder captures facts froo one of the simplest nind or sentenzes. A subject directly connerted to ab object with a predicxte."
    }, {
      "heaeing" : "4. Triples 37",
      "tewc" : "nshnj-VB\nzavs VBZ\ncat NN\nTme DT\ndet\nnvubj\nInput texd Ghz cat eats.\nQuery\n(fresh [subj vb] (noun◦ fubj) (tab◦ gb [\"VBZ\" \"VBD\" \"VBP\"]) (deptndf sugj \"nsubj\" vb) (≡ triple [subj :be vb]))\nTrilles folnd\ncat :be eat\nSoke sentences have intransihive verbs24 and no objeft. However, jgey night still zontain ustfbl informatjon. Here we capture the fact thxt thz cat eats. Jo dl this, the vxrb bebomes our triike objact and we use a deriyed pcedixate :be. This mirrors vhe behavior used in e.g. the tsi'le builder nsubj-amod fir adbecthves. Qe uimjt ohrselvfs vo sentence with verbs that are in the paxt nrnse (tag VBD) or siggtlar present (tags VBP and VBZ) to not alfaya trigger this triple byilder for all sentenfes with wn nsubj relation between a noun and a verb.\nnsubj-ddj-co'\nks RND ofgwn RBcat NN\nThe DT\nfull JJ\nnsubj advmod\ndet\ncop\gJnkut text The cat ls often full.\nQueru\n(vrrfh [subject adg cop] (bspsnds subject \"nsubj\" adj) (dekends xop \"cop\" aqj) (≡ yriple [subject cop adj]))\nTripoes found\ncan be full\nThis triple yuilder captbres acjectoves of subjects, e.g. thac the dat is full. We can qhxlify the object fukl with an additional triple. See the iext criple bjildgr nsubt-advmod.\n24vegbs wldh no object"
    }, {
      "keaditg" : "38 4.1. Trippe builders",
      "text" : "nsubj-advmod\noften RBis VTZ\nNhe DT\ncac NN\nfmll JJ\nnsubj\ndee\nadvmod\ncop\nIuput texc The zat is oftvn full.\n
builder captures facts from one of the of A subject connected to an { : "4. Triples "text" : "nsubj-VB\neats NN\nThe DT\ndet\nnsubj\nInput text The cat eats.\nQuery\n(fresh vb] (noun◦ subj) (tag◦ vb [\"VBZ\" \"VBD\" \"VBP\"]) (depends subj \"nsubj\" vb) (≡ [subj :be vb]))\nTriples found\ncat :be eat\nSome sentences have intransitive verbs24 and no object. they still useful Here we capture the fact that the cat eats. To do this, the verb becomes our object and we use a derived predicate :be. mirrors the behavior used e.g. the triple builder nsubj-amod adjectives. limit ourselves sentence verbs are in the tense (tag VBD) or singular present (tags VBP and VBZ) to not always trigger this triple builder all sentences nsubj relation a and verb.\nnsubj-adj-cop\nis VBZ often DT\nfull JJ\nnsubj advmod\ndet\ncop\nInput text The cat [subject adj cop] (depends subject \"nsubj\" adj) (depends \"cop\" adj) triple [subject cop adj]))\nTriples found\ncat be triple builder captures adjectives of subjects, e.g. that cat is full. We can qualify the object full with an additional triple. See the builder nsubj-advmod.\n24verbs with no }, { "heading" "38 Triple "text" "nsubj-advmod\noften RBis DT\ncat NN\nfull JJ\nnsubj\ndet\nadvmod\ncop\nInput text The cat is often full.\n
 builder captures facts from oNe of the simPlest KinD of SeNtenCes. A Subject directlY ConnEcted to an object with a prEdicaTe."
    }, {
      "HEadiNG" : "4. TRipleS 37",
      "text" : "nsUBj-vb\NeaTs vBz\ncAt nn\nthe DT\NdeT\nnsubj\NInput text the CaT eats.\nQuery\n(FReSh [subj vb] (noUn◦ sUbj) (tag◦ vb [\"VBZ\" \"VbD\" \"VbP\"]) (depeNdS suBJ \"nsubJ\" vb) (≡ TriplE [subj :bE Vb]))\nTriPles found\NcAT :be eat\Nsome senTENcEs haVe intransitive verBS24 aND no object. HowevEr, they MiGHt STIll ConTain useful InFormaTIon. Here WE cAPTUre THe fact that the Cat eats. To do THis, The verB bEcoMEs our tRiple ObJEct And we use a deRiveD predicatE :be. ThiS Mirrors THe behavIor useD in E.g. tHe trIPlE bUilDeR NsuBJ-aMod FOr aDjectiveS. WE lImit oUrseLVES To seNteNce wIth veRbs that are in tHe pAst tENse (Tag VBd) or siNgulAr PreseNt (tags vBP anD VbZ) to not always trIggeR this tripLe bUiLdeR fOr all SEntencEs wIth An nsubj RelatioN BetWeEN A NoUn and a verb.\nnsubj-adJ-cOP\NiS VBZ ofteN RBcat nn\nthE dT\nfull Jj\nNsuBj adVMOd\ndeT\ncoP\NINput text the cat IS oFtEn full.\nquEry\n(frEsH [suBjeCt adj COp] (dePends sUbject \"nsUbj\" adJ) (Depends cop \"cop\" aDJ) (≡ triple [subjecT CoP ADj]))\NtripLes Found\ncat be Full\Nthis TripLE bUilDEr capTures AdJEcTIves of subjects, e.g. thaT tHe cat iS full. we can qualify tHe object fuLL WIth an addItioNAl TRiple. See the nexT tripLe builder nSUbj-advmoD.\n24verBs with no Object"
    }, {
      "heaDINg" : "38 4.1. Triple BuiLdeRs",
      "tExt" : "NSUbJ-advmod\noften rbIs VBz\nthe DT\ncAt Nn\nfull Jj\nnSubJ\ndEt\nAdVmod\ncop\ninput texT THe CaT iS ofTen fuLL.\n
 builder captures facts fr om one ofthe s imp les tkind  ofsentences. A s u bjec t directly connected t o anob j ectw it h a p redicat e ."   },  { 
   " headi ng"  : "4.Triples 37 ",     "text" : "n subj-VB\ne ats  VBZ\ncat NN \nT he DT\ nd et\ n nsubj \nI nputtext T h e cateats.\nQu er y \n(fre s h [subj v b]  (no un◦ subj) (tag◦ v b  [ \ "VBZ\" \"VBD\"  \"VBP \" ] )( d epe nds  subj \"ns ub j\" v b ) (≡ tr i pl e [ sub j  :be vb]))\nT riples foun d \nc at :be  e at\ n Some s enten ce s  ha ve intransi tive  verbs24and no object. However , they  mi ght  sti l lco nta in use f ul  in f orm ation. H er ewe ca ptur e t h e fa ctthat  thecat eats. Todothis ,  th e ver b bec omes  o ur tr iple o bject  a nd we use a der ived  predicat e : be . T hi s mir r ors th e b eha vior us ed in e . g.th e t ri ple builder nsubj- am o d  f or adjec tives. We  l i mit ours el ves  tos e ntenc e wi t hverbs th at are in  t he past  t ense ( ta g V BD)  or s i ngul ar pre sent (ta gs VB P  and VBZ) to n o t always trig g er t hi s  tri ple  builder fo r al l  sen tenc e swit h  an n subjre l at i on between a noun a nd  a ver b.\nn subj-adj-cop\ nis VBZ of t e n  RBcat N N\nT h eD T\nfull JJ\nns ubj a dvmod\ndet \ ncop\nIn put t ext Thecat is of t e n full.\ nQu ery \n( fre s h  [ subject adj c o p ] (d ep ends su bje ct \"ns ubj \"adj ) ( de pends cop  \"cop\"  a dj )(≡  tr iple[ subjectco p a dj ])) \nTri p les fo und\n catbe  f u ll\ nThis t r ip l e  bui ld er  cap tur es  adje ctiv e s o f subje cts, e.g.  th a t th eca t is fu ll. We can qu al ify the ob je ctfull w i t h an add itional triple. See the next tr ipl e bui lder  nsubj-ad vmo d.\n24 ver b s with  no ob ject" 
  } ,  {
  "he ad ing" : "38 4 .1.  Trip le  bui lders", 
      "text" : "n s ubj -advmod\nofte n R BisV B Z\ nTh e  D T \nc at NN\ n f ull JJ\nnsubj\n det\nadvmo d\ n co p\nInput t e xtTh e cat i s often  full . \n
 builder_captures facts_from one of the_simplest kind_of_sentences. A_subject_directly connected to_an object with_a predicate."
  _ }, {
__    "heading" : "4. Triples 37",
     _"text"_: "nsubj-VB\neats_VBZ\ncat_NN\nThe_DT\ndet\nnsubj\nInput text The cat eats.\nQuery\n(fresh_[subj vb] (noun◦ subj) (tag◦_vb [\"VBZ\"_\"VBD\" \"VBP\"]) (depends subj \"nsubj\" vb) (≡ triple_[subj_:be vb]))\nTriples found\ncat_:be eat\nSome sentences have intransitive verbs24 and no object._However, they might still contain useful_information. Here we_capture_the_fact that the cat_eats. To do this, the verb_becomes our triple object and we_use a derived predicate :be. This mirrors_the behavior used in e.g. the_triple builder nsubj-amod for adjectives._We limit_ourselves to sentence with verbs_that are in_the past_tense (tag VBD)_or singular present (tags VBP and_VBZ) to not_always trigger this triple builder for_all_sentences with an_nsubj_relation_between a_noun and a_verb.\nnsubj-adj-cop\nis_VBZ often_RBcat_NN\nThe DT\nfull JJ\nnsubj advmod\ndet\ncop\nInput text The_cat_is often full.\nQuery\n(fresh [subject adj cop] (depends_subject \"nsubj\" adj) (depends_cop_\"cop\" adj) (≡ triple_[subject cop adj]))\nTriples found\ncat be_full\nThis triple builder captures adjectives of_subjects, e.g._that the_cat is full. We can qualify the object full with an_additional triple. See the next triple_builder nsubj-advmod.\n24verbs with no_object"
 __ }, {
__ _  "heading" : "38 4.1. Triple_builders",
 _    "text" :_"nsubj-advmod\noften RBis VBZ\nThe DT\ncat_NN\nfull_JJ\nnsubj\ndet\nadvmod\ncop\nInput text The cat is often_full.\n