Dontopedia

Lemmas

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Lemmas has 3 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

3 facts·2 predicates·3 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (10)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

hasMethodHas Method(3)

containsContains(1)

ex:hasMethodEx:has Method(1)

iteratesIterates(1)

iteratesOverIterates Over(1)

mapsMaps(1)

returnsReturns(1)

usesUses(1)

Other facts (3)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

3 facts
PredicateValueRef
Rdf:typeList[1]
Rdf:typeSynset Method[3]
HasName[2]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/407031c6-8e67-411e-a5b3-fe9a2898c457
ex:List
hasbeam/30196b02-e710-4de9-807e-b72cfda7e001
ex:name
typebeam/edca9501-cce9-465a-87b1-ca97ba8c21a7
ex:SynsetMethod

References (3)

3 references
  1. ctx:claims/beam/407031c6-8e67-411e-a5b3-fe9a2898c457
    • full textbeam-chunk
      text/plain1 KBdoc:beam/407031c6-8e67-411e-a5b3-fe9a2898c457
      Show excerpt
      text_en = "Apple is looking at buying U.K. startup for $1 billion." text_es = "La empresa Apple comprara una startup britanica por mil millones de dolares." print(process_text(text_en)) print(process_text(text_es)) ``` ### 3. **
  2. ctx:claims/beam/30196b02-e710-4de9-807e-b72cfda7e001
    • full textbeam-chunk
      text/plain1 KBdoc:beam/30196b02-e710-4de9-807e-b72cfda7e001
      Show excerpt
      # Extract synonyms for each token synonyms = [] for token in tokens: # Use WordNet to get synonyms synsets = nltk.corpus.wordnet.synsets(token) for synset in synsets: for lemma in synset.lemma
  3. ctx:claims/beam/edca9501-cce9-465a-87b1-ca97ba8c21a7

See also

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