Dontopedia

Filtered Synonyms

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Filtered Synonyms has 6 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

6 facts·5 predicates·1 sources·1 in dispute

Mostly:rdf:type(2), excludes(1), applies filter(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (7)

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.

removesFromRemoves From(2)

convertsToConverts to(1)

filtersFilters(1)

filtersSynonymsFilters Synonyms(1)

isDerivedFromIs Derived From(1)

isSourceOfIs Source of(1)

Other facts (6)

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.

6 facts
PredicateValueRef
Rdf:typeFiltered Synonym Set[1]
Rdf:typePython Set[1]
ExcludesMulti Word Synonyms[1]
Applies FilterMulti Word Filter[1]
Is Settrue[1]
Is Derived FromRaw Synonyms[1]

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/b27efc86-7008-4384-852a-049d06d255cb
ex:FilteredSynonymSet
excludesbeam/b27efc86-7008-4384-852a-049d06d255cb
ex:multi-word-synonyms
appliesFilterbeam/b27efc86-7008-4384-852a-049d06d255cb
ex:multi-word-filter
isSetbeam/b27efc86-7008-4384-852a-049d06d255cb
true
typebeam/b27efc86-7008-4384-852a-049d06d255cb
ex:PythonSet
isDerivedFrombeam/b27efc86-7008-4384-852a-049d06d255cb
ex:raw-synonyms

References (1)

1 references
  1. ctx:claims/beam/b27efc86-7008-4384-852a-049d06d255cb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b27efc86-7008-4384-852a-049d06d255cb
      Show excerpt
      entities = [(ent.text, ent.label_) for ent in doc.ents] # Extract synonyms for each token synonyms = [] for token in tokens: pos = get_wordnet_pos(nltk.pos_tag([token])[0][1]) synsets = wordnet.synsets(t

See also

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