NER Clustering

def organizations_store_clustering(organizations_store: Dict[int, Set[str]],
                                   position_clusters: List[Set[int]],
                                   organization_clusters: List[Set[str]]) -> Tuple[List[Set[int]], List[Set[str]]]:
    position_clusters: List[Set[int]] = []
    organization_clusters: List[Set[str]] = []

    for position, entry in organizations_store.items():
        entry: Set[str] = set(entry)

        if len(entry) == 0:
            create_cluster(position, entry, position_clusters, organization_clusters)
            continue

        if len(position_clusters) == 0:
            create_cluster(position, entry, position_clusters, organization_clusters)
            continue
        else:
            is_intersected = False
            for position_cluster, organization_cluster in zip(position_clusters, organization_clusters):
                if len(organization_cluster) > 0:
                    if entry.issubset(organization_cluster):
                        is_intersected = True
                        position_cluster.add(position)
                        organization_cluster.update(entry)
                        print(f'{position_cluster} {organization_cluster} updated')
                        break

            if not is_intersected:
                create_cluster(position, entry, position_clusters, organization_clusters)

    return position_clusters, organization_clusters