class_docstr: Training instances for the sLCWA.
class_docstr_tok: ["Training","instances","for","the","sLCWA","."]
code: def from_triples(
      cls,
      mapped_triples: MappedTriples,
      *,
      num_entities: int,
      num_relations: int,
      **kwargs,
  ) -> Instances:  # noqa: D102
      return cls(
          mapped_triples=mapped_triples,
          num_entities=num_entities,
          num_relations=num_relations,
          **kwargs,
      )
  
imports: import math
  from abc import ABC, abstractmethod
  from typing import Callable, Generic, Iterable, Iterator, List, NamedTuple, Optional, Tuple, TypeVar
  import numpy
  import scipy.sparse
  import torch
  from class_resolver import HintOrType, OptionalKwargs
  from torch.utils import data
  from .utils import compute_compressed_adjacency_list
  from ..sampling import NegativeSampler, negative_sampler_resolver
  from ..typing import MappedTriples
label_desc: Use image node_id 6 for calling the SLCWAInstances obj's underlying member method code with example usage: obj.from_triples(cls, mapped_triples) and returns: cls