{ "items" : [
    { "id" : "http://webisa.webdatacommons.org/1082693"
      "properties" : {
        "http://www.w3.org/1999/02/22-rdf-syntax-ns#type" : [ "http://www.w3.org/ns/prov#Entity" ] ,
        "http://www.w3.org/ns/prov#value" : [ "Using historical analysis for forecasting can be as simple as viewing historical data on a portfolio basis or more sophisticated by segmenting the portfolio by vintage, credit scores, or other criteria reflecting the predominate risk characteristics of the underlying receivables (asset type, size, interest rate, term, geographic location, etc.) and ensuring the data used in the forecasting capture" ] ,
        "http://www.w3.org/ns/prov#wasQuotedFrom" : [ "fdic.gov" ] } },

    { "id" : "http://webisa.webdatacommons.org/prov/337565672"
      "properties" : {
        "http://www.w3.org/ns/prov#wasDerivedFrom" : [ "http://webisa.webdatacommons.org/1082693"] } } }
