Dontopedia

sub

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

sub has 22 facts recorded in Dontopedia across 7 references, with 4 live disagreements.

22 facts·9 predicates·7 sources·4 in dispute

Mostly:rdf:type(8), argument(3), has parameter(3)

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.

usesUses(2)

usesFunctionUses Function(2)

usesImplementationUses Implementation(2)

callsCalls(1)

callsFunctionCalls Function(1)

invokesInvokes(1)

providesFunctionProvides Function(1)

Other facts (20)

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.

20 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typePython Function[2]
Rdf:typeFunction Call[3]
Rdf:typeFunction[4]
Rdf:typeRegular Expression Function[5]
Rdf:typePython Function[5]
Rdf:typePython Function[6]
Rdf:typeFunction Call[7]
Argumentregex_pattern[2]
Argumentreplacement[2]
Argumentinput_string[2]
Has ParameterPattern[7]
Has ParameterRepl[7]
Has ParameterString[7]
Applied toToken[4]
ModuleRe Module[5]
PerformsRegular Expression Substitution[5]
Used byParse Query[6]
Has Regex Pattern'[^\w\s]',''[7]
Has ArgumentText[7]

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/0efd0397-84c8-4ac5-a86a-75ddaab3cb1b
ex:Function
typebeam/910d6fc8-8228-4a97-97e1-5c2720f7f34e
ex:PythonFunction
argumentbeam/910d6fc8-8228-4a97-97e1-5c2720f7f34e
regex_pattern
argumentbeam/910d6fc8-8228-4a97-97e1-5c2720f7f34e
replacement
argumentbeam/910d6fc8-8228-4a97-97e1-5c2720f7f34e
input_string
typebeam/e2c45cf3-dd68-4f7d-b1c5-1eb5b7990908
ex:FunctionCall
labelbeam/e2c45cf3-dd68-4f7d-b1c5-1eb5b7990908
re.sub
typebeam/200959f7-7b94-4238-988c-0b57fc083432
ex:Function
appliedTobeam/200959f7-7b94-4238-988c-0b57fc083432
ex:token
typebeam/bdb209b7-8532-40a9-a6db-6c8b2fb1a9c7
ex:RegularExpressionFunction
typebeam/bdb209b7-8532-40a9-a6db-6c8b2fb1a9c7
ex:PythonFunction
modulebeam/bdb209b7-8532-40a9-a6db-6c8b2fb1a9c7
ex:re-module
performsbeam/bdb209b7-8532-40a9-a6db-6c8b2fb1a9c7
ex:regular-expression-substitution
typebeam/ad20a81f-ed9b-4bdf-8e2b-07b59e9c3878
ex:PythonFunction
usedBybeam/ad20a81f-ed9b-4bdf-8e2b-07b59e9c3878
ex:parse_query
typebeam/ebb5c91f-ab60-4135-97de-33797ec06f38
ex:FunctionCall
labelbeam/ebb5c91f-ab60-4135-97de-33797ec06f38
sub
hasRegexPatternbeam/ebb5c91f-ab60-4135-97de-33797ec06f38
ex:'[^\w\s]',''
hasArgumentbeam/ebb5c91f-ab60-4135-97de-33797ec06f38
ex:text
hasParameterbeam/ebb5c91f-ab60-4135-97de-33797ec06f38
ex:pattern
hasParameterbeam/ebb5c91f-ab60-4135-97de-33797ec06f38
ex:repl
hasParameterbeam/ebb5c91f-ab60-4135-97de-33797ec06f38
ex:string

References (7)

7 references
  1. ctx:claims/beam/0efd0397-84c8-4ac5-a86a-75ddaab3cb1b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0efd0397-84c8-4ac5-a86a-75ddaab3cb1b
      Show excerpt
      3. **Similarity Scoring**: - Cache the results of similarity scoring between queries and documents to avoid recomputing scores for the same pairs. 4. **Ranking and Re-ranking**: - Cache the results of initial ranking and re-ranking t
  2. ctx:claims/beam/910d6fc8-8228-4a97-97e1-5c2720f7f34e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/910d6fc8-8228-4a97-97e1-5c2720f7f34e
      Show excerpt
      - **Objective**: Clean up and standardize the tokenized output. - **Tasks**: - Remove stop words. - Lemmatize or stem tokens. - Handle edge cases and errors. - **Tools**: `spaCy`, custom postprocessing functions. ##
  3. ctx:claims/beam/e2c45cf3-dd68-4f7d-b1c5-1eb5b7990908
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e2c45cf3-dd68-4f7d-b1c5-1eb5b7990908
      Show excerpt
      processed_tokens = [] for token in adjusted_tokens: # Remove special characters token = re.sub(r'[^a-zA-Z0-9]', '', token) processed_tokens.append(token) return processed_tokens # Test the function
  4. ctx:claims/beam/200959f7-7b94-4238-988c-0b57fc083432
    • full textbeam-chunk
      text/plain1 KBdoc:beam/200959f7-7b94-4238-988c-0b57fc083432
      Show excerpt
      ```python import re def parse_query(query): # Check for empty query if not query.strip(): return [] # Tokenize the query tokens = re.split(r'\s+', query) # Process the tokens processed_tokens = []
  5. ctx:claims/beam/bdb209b7-8532-40a9-a6db-6c8b2fb1a9c7
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bdb209b7-8532-40a9-a6db-6c8b2fb1a9c7
      Show excerpt
      2. **Token Boundary Adjustment and Special Character Removal**: - Combined the token boundary adjustment and special character removal into a single step using `re.sub`. 3. **Skip Empty Tokens**: - `if token: processed_tokens.append(
  6. ctx:claims/beam/ad20a81f-ed9b-4bdf-8e2b-07b59e9c3878
  7. ctx:claims/beam/ebb5c91f-ab60-4135-97de-33797ec06f38

See also

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