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In this type of task, the crowd in the Find stage focused on assessing triples whose objects correspond to language-tagged literals. Figure 7a shows the distribution of the datatypes and language tags in the sampled triples processed by the crowd. Out of the 341 analyzed triples, 307 triples identified as ‘erroneous’ in this stage were annotated with language tags. As reported on Table 6, the crowd in the Find stage achieved a precision of 0.1466, being the lowest precision achieved in all the microtask settings. Most of the triples (72 out of 341) identified as ‘incorrect’ in this stage were annotated with the English language tag. We corroborated that false positives in other languages were not generated due to malfunctions of the interface of the HITs: microtasks were properly displaying non UTF-8 characters used in several languages in DBpedia, e.g., Russian, Japanese, Chinese, among others.
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