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Infix Re

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Infix Re 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), matches(1), rdfs:label(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Matchesmatches

Rdfs:labelrdfs:label

  • infix_re[2]sourceall time · 9e885203 13b0 4f18 89db 79cab2460230

Has PatternhasPattern

  • [-~][1]sourceall time · 18306c1f B51a 45dd B169 E340e3696b52

Inbound mentions (2)

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)

containsVariableContains Variable(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.

5 undated
—
hasPatternbeam/18306c1f-b51a-45dd-b169-e340e3696b52
[-~]
—
matchesbeam/9e885203-13b0-4f18-89db-79cab2460230
ex:hyphen_and_tilde
—
labelbeam/9e885203-13b0-4f18-89db-79cab2460230
infix_re
—
typebeam/9e885203-13b0-4f18-89db-79cab2460230
ex:Regex
—
typebeam/18306c1f-b51a-45dd-b169-e340e3696b52
ex:RegularExpression

References (2)

2 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/18306c1f-b51a-45dd-b169-e340e3696b52
    • full textbeam-chunk
      text/plain1 KBdoc:beam/18306c1f-b51a-45dd-b169-e340e3696b52
      Show excerpt
      Now, let's tokenize some text and visualize the process for debugging. ```python # Sample text text = "Hello, world! This is a test sentence with [custom] tokens." # Process the text doc = nlp(text) # Print the tokens for token in doc: …
  2. [2]beam-chunk3 facts
    customctx:claims/beam/9e885203-13b0-4f18-89db-79cab2460230
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9e885203-13b0-4f18-89db-79cab2460230
      Show excerpt
      token_match=nlp.tokenizer.token_match) # Replace the default tokenizer with the custom one nlp.tokenizer = custom_tokenizer ``` ### Full Example Code Here is the full example code combining all the steps: ``…

See also

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