Dontopedia

df

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

df has 9 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

9 facts·4 predicates·3 sources·2 in dispute

Mostly:rdf:type(3), has column(2), variable name(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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.

returnsReturns(1)

Other facts (7)

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.

7 facts
PredicateValueRef
Rdf:typePandas Dataframe[1]
Rdf:typeData Frame[2]
Rdf:typeVariable[3]
Has ColumnColumn Id[1]
Has ColumnColumn Vector[1]
Variable Namedf[2]
Is Assigned FromDataset Loading[3]

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/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
ex:PandasDataframe
labelbeam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
df
hasColumnbeam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
ex:column-id
hasColumnbeam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
ex:column-vector
typebeam/74d74d99-3eb6-49f1-9362-fb18408b3164
ex:DataFrame
variableNamebeam/74d74d99-3eb6-49f1-9362-fb18408b3164
df
typebeam/ba8f0f6e-4076-45ec-b8ac-81b951e5391d
ex:Variable
labelbeam/ba8f0f6e-4076-45ec-b8ac-81b951e5391d
df
isAssignedFrombeam/ba8f0f6e-4076-45ec-b8ac-81b951e5391d
ex:dataset-loading

References (3)

3 references
  1. ctx:claims/beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69
      Show excerpt
      FieldSchema(name="id", dtype=DataType.INT64, is_primary=True), FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=3) ] schema = CollectionSchema(fields, "RAG Vector Collection") collection = Collection("rag_vectors", schema
  2. ctx:claims/beam/74d74d99-3eb6-49f1-9362-fb18408b3164
  3. ctx:claims/beam/ba8f0f6e-4076-45ec-b8ac-81b951e5391d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ba8f0f6e-4076-45ec-b8ac-81b951e5391d
      Show excerpt
      nltk.download('words') word_list = set(words.words()) # Define a function to correct a query using NLTK def correct_query_nltk(query): # Split the query into words words = query.split() # Correct each word corrected_wo

See also

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