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Corrected Df

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

Corrected Df has 6 facts recorded in Dontopedia across 1 reference.

6 facts·6 predicates·1 sources

Mostly:result of(1), expected type(1), type annotation(1)

Maturity scale raw canonical shape-checked rule-derived certified

Result ofresultOf

Expected TypeexpectedType

  • pd.DataFrame[1]all time · 18e5a306 7222 46b8 A4df 255c6c5a3962

Type AnnotationtypeAnnotation

  • DataFrame[1]all time · 18e5a306 7222 46b8 A4df 255c6c5a3962

Assigned byassignedBy

Rdfs:labelrdfs:label

  • corrected_df[1]sourceall time · 18e5a306 7222 46b8 A4df 255c6c5a3962

Rdf:typerdf:type

  • Variable[1]all time · 18e5a306 7222 46b8 A4df 255c6c5a3962

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.

assignsResultToAssigns Result to(1)

outputsOutputs(1)

outputsVariableOutputs Variable(1)

printsPrints(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.

assignedBybeam/18e5a306-7222-46b8-a4df-255c6c5a3962
ex:apply_correction_rules
expectedTypebeam/18e5a306-7222-46b8-a4df-255c6c5a3962
pd.DataFrame
labelbeam/18e5a306-7222-46b8-a4df-255c6c5a3962
corrected_df
typebeam/18e5a306-7222-46b8-a4df-255c6c5a3962
ex:Variable
resultOfbeam/18e5a306-7222-46b8-a4df-255c6c5a3962
ex:apply_correction_rules
typeAnnotationbeam/18e5a306-7222-46b8-a4df-255c6c5a3962
DataFrame

References (1)

1 references
  1. [1]beam-chunk6 facts
    customctx:claims/beam/18e5a306-7222-46b8-a4df-255c6c5a3962
    • full textbeam-chunk
      text/plain1 KBdoc:beam/18e5a306-7222-46b8-a4df-255c6c5a3962
      Show excerpt
      row (pd.Series): Series representing a row of the DataFrame. Returns: str: Classification of error rate ('high_error', 'medium_error', 'low_error'). """ try: error_rate = row['error_rate'] if error_rate

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