@prefix this: <http://purl.org/np/RANsg2-DobvZZT0XFrDXMTZfBVypxhj6mN4mLEV3tYmZU> .
@prefix sub: <http://purl.org/np/RANsg2-DobvZZT0XFrDXMTZfBVypxhj6mN4mLEV3tYmZU#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix pav: <http://purl.org/pav/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix doco: <http://purl.org/spar/doco/> .
@prefix c4o: <http://purl.org/spar/c4o/> .

sub:Head {
  this: np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo;
    a np:Nanopublication .
}

sub:assertion {
  sub:paragraph c4o:hasContent "In our experiments, the assessed triples were extracted from the DBpedia dataset (version 3.9). 9 As de- scribed in Section 4.1, the TripleCheckMate tool was used in the contest. For the microtask crowdsourcing approaches, Algorithms 1 and 2 were implemented to generate the corresponding microtasks for the Find and Verify stages, respectively, in Python 2.7.2. Resulting microtasks were submitted as HITs to Amazon Mechanical Turk using the MTurk SDK for Java. 10";
    a doco:Paragraph .
}

sub:provenance {
  sub:assertion prov:hadPrimarySource <http://dx.doi.org/10.3233/SW-160239>;
    prov:wasAttributedTo <https://orcid.org/0000-0003-0530-4305> .
}

sub:pubinfo {
  this: dc:created "2019-11-10T18:05:11+01:00"^^xsd:dateTime;
    pav:createdBy <https://orcid.org/0000-0002-7114-6459> .
}