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Tokenizer Then Filters

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Tokenizer Then Filters has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

5 facts·4 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), ordered as(1), implemented by(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Ordered AsorderedAs

  • tokenizer-first[1]all time · 9591b25b Db90 434d 9769 0189bd3f70c2

Implemented byimplementedBy

Rdfs:labelrdfs:label

  • tokenizer followed by filters[1]all time · 9591b25b Db90 434d 9769 0189bd3f70c2

Inbound mentions (4)

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.

consistsOfConsists of(1)

executionOrderExecution Order(1)

processingChainProcessing Chain(1)

processingSequenceProcessing Sequence(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.

implementedBybeam/9591b25b-db90-434d-9769-0189bd3f70c2
ex:analyzer-chain
orderedAsbeam/9591b25b-db90-434d-9769-0189bd3f70c2
tokenizer-first
labelbeam/9591b25b-db90-434d-9769-0189bd3f70c2
tokenizer followed by filters
typebeam/3b6c342c-d063-4158-bc0a-b84634edf7e8
ex:ProcessingSequence
typebeam/9591b25b-db90-434d-9769-0189bd3f70c2
ex:ProcessingSequence

References (2)

2 references
  1. customctx:claims/beam/9591b25b-db90-434d-9769-0189bd3f70c2
  2. [2]beam-chunk1 fact
    customctx:claims/beam/3b6c342c-d063-4158-bc0a-b84634edf7e8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3b6c342c-d063-4158-bc0a-b84634edf7e8
      Show excerpt
      # Rewrite the query using the first synonym query['term'] = synonyms[0] return query # Example usage: query = {'term': 'hello'} rewritten_query = rewrite_query(query) print(rewritten_query) # Output: {'term': 'hi'} #

See also

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