Data quality is enhanced when most entities have human-readble label. Once such a label is available, data quality is higher when such labels do not contain typo's. If a dataset has labels without typo's for all entities, it becomes easier to search for entities based on their name (text search).
Table 2 shows places that have more than one names, which are potentially misspellings. If the table is empty, then this quality issue no longer appears in the data.