Dontopedia

data

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

data has 78 facts recorded in Dontopedia across 12 references, with 10 live disagreements.

78 facts·28 predicates·12 sources·10 in dispute

Mostly:contains element(13), rdf:type(11), has element(10)

Maturity scale raw canonical shape-checked rule-derived certified

Contains Elementin disputecontainsElement

  • Data Object[2]sourceall time · Cbaeb875 E16f 44dd Bc0f 36b3945d0935
  • 1[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 2[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 3[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 4[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 5[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 6[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 7[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 8[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • 9[4]sourceall time · 7fff3d79 17a8 49d4 8004 60ae5ce21589

Rdf:typein disputerdf:type

  • Array[1]all time · 5649feba 310c 425b 9ed5 Db5583522d98
  • Array[2]sourceall time · Cbaeb875 E16f 44dd Bc0f 36b3945d0935
  • Python List[3]all time · 131a150d 00ba 472b Bdc7 209aa22bc91d
  • Array[4]all time · 7fff3d79 17a8 49d4 8004 60ae5ce21589
  • Array[5]all time · 90b88f4b Aaca 4903 A75f 9b39834a8bae
  • List[6]sourceall time · Eaf4690f B473 4ddb A331 5a3e658a880c
  • Integer Array[7]all time · 7953ed99 A1a2 4fbd B99d Ee169d9d0607
  • List[8]all time · 3ec50fdd 44d2 4d86 8a95 81a6108707be
  • Json Array[9]all time · 3d7f76b4 198b 443b Ae09 Be09393d71f0
  • Json Array[10]all time · 98a3085e 61bf 4cc5 A5e8 3b6100347179

Has Elementin disputehasElement

  • 20[7]sourceall time · 7953ed99 A1a2 4fbd B99d Ee169d9d0607
  • 30[7]sourceall time · 7953ed99 A1a2 4fbd B99d Ee169d9d0607
  • 40[7]sourceall time · 7953ed99 A1a2 4fbd B99d Ee169d9d0607
  • 50[7]sourceall time · 7953ed99 A1a2 4fbd B99d Ee169d9d0607
  • 60[7]sourceall time · 7953ed99 A1a2 4fbd B99d Ee169d9d0607
  • 1[11]sourceall time · Bd021feb Fbc0 4f36 88d2 Dd73f92019a8
  • 2[11]sourceall time · Bd021feb Fbc0 4f36 88d2 Dd73f92019a8
  • 3[11]sourceall time · Bd021feb Fbc0 4f36 88d2 Dd73f92019a8
  • 4[11]sourceall time · Bd021feb Fbc0 4f36 88d2 Dd73f92019a8
  • 5[11]sourceall time · Bd021feb Fbc0 4f36 88d2 Dd73f92019a8

Inbound mentions (64)

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.

partOfPart of(49)

containsContains(3)

appliesToApplies to(1)

assignedValueAssigned Value(1)

definesVariableDefines Variable(1)

hasValueHas Value(1)

iteratesOverIterates Over(1)

memberOfMember of(1)

operatesOnOperates on(1)

processesVariableProcesses Variable(1)

takesParameterTakes Parameter(1)

usesDataUses Data(1)

usesDataVariableUses Data Variable(1)

valueSourceValue Source(1)

Other facts (41)

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.

41 facts
PredicateValueRef
Contains[[1, 2, 3], [4, 5, 6], [7, 8, 9]][4]
ContainsId Data[6]
ContainsEmbedding Data[6]
Contains1[10]
Contains2[10]
Contains3[10]
Contains4[10]
Contains5[10]
Has Member1[9]
Has Member2[9]
Has Member3[9]
Has Member4[9]
Has Member5[9]
Has Sub Array[1, 2, 3][4]
Has Sub Array[4, 5, 6][4]
Has Sub Array[7, 8, 9][4]
Contains ElementsObject 1[3]
Contains ElementsObject 2[3]
Element TypeDocument[5]
Element TypeString[12]
Elements5[10]
Elements[1,2,3,4,5][11]
Has Labeldata[4]
Has Length5[9]
First Element1[10]
Second Element2[10]
Third Element3[10]
Fourth Element4[10]
Fifth Element5[10]
Contains Integerstrue[10]
Integer Values[1, 2, 3, 4, 5][10]
Is Contained inSparse Data Object[10]
Has Element Count50[12]
Exhibits PatternRepetition Pattern[12]
Uniform Contenttrue[12]
Data Sourceinert-data-source[12]
Has Last ElementString Element 50[12]
Has First ElementString Element 1[12]
Is Contiguoustrue[12]
Exhibits Uniformitytrue[12]
Element ValueHello, 1234567890[12]

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/5649feba-310c-425b-9ed5-db5583522d98
ex:Array
labelbeam/5649feba-310c-425b-9ed5-db5583522d98
data
typebeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
ex:Array
labelbeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
Data Array
containsElementbeam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
ex:data-object
typebeam/131a150d-00ba-472b-bdc7-209aa22bc91d
ex:PythonList
containsElementsbeam/131a150d-00ba-472b-bdc7-209aa22bc91d
ex:object-1
containsElementsbeam/131a150d-00ba-472b-bdc7-209aa22bc91d
ex:object-2
containsbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
typebeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
ex:Array
hasSubArraybeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
[1, 2, 3]
hasSubArraybeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
[4, 5, 6]
hasSubArraybeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
[7, 8, 9]
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
1
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
2
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
3
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
4
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
5
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
6
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
7
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
8
containsElementbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
9
hasLabelbeam/7fff3d79-17a8-49d4-8004-60ae5ce21589
data
typebeam/90b88f4b-aaca-4903-a75f-9b39834a8bae
ex:Array
containsElementbeam/90b88f4b-aaca-4903-a75f-9b39834a8bae
ex:document-1
containsElementbeam/90b88f4b-aaca-4903-a75f-9b39834a8bae
ex:document-2
elementTypebeam/90b88f4b-aaca-4903-a75f-9b39834a8bae
ex:document
typebeam/eaf4690f-b473-4ddb-a331-5a3e658a880c
ex:List
containsbeam/eaf4690f-b473-4ddb-a331-5a3e658a880c
ex:id-data
containsbeam/eaf4690f-b473-4ddb-a331-5a3e658a880c
ex:embedding-data
typebeam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
ex:IntegerArray
hasElementbeam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
20
hasElementbeam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
30
hasElementbeam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
40
hasElementbeam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
50
hasElementbeam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
60
typebeam/3ec50fdd-44d2-4d86-8a95-81a6108707be
ex:List
containsElementbeam/3ec50fdd-44d2-4d86-8a95-81a6108707be
ex:data-structure
typebeam/3d7f76b4-198b-443b-ae09-be09393d71f0
ex:JSONArray
labelbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
data array
hasMemberbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
1
hasMemberbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
2
hasMemberbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
3
hasMemberbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
4
hasMemberbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
5
hasLengthbeam/3d7f76b4-198b-443b-ae09-be09393d71f0
5
typebeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
ex:JSONArray
elementsbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
5
firstElementbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
1
secondElementbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
2
thirdElementbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
3
fourthElementbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
4
fifthElementbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
5
containsIntegersbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
true
integerValuesbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
[1, 2, 3, 4, 5]
containsbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
1
containsbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
2
containsbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
3
containsbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
4
containsbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
5
isContainedInbeam/98a3085e-61bf-4cc5-a5e8-3b6100347179
ex:sparse-data-object
elementsbeam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
[1,2,3,4,5]
hasElementbeam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
1
hasElementbeam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
2
hasElementbeam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
3
hasElementbeam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
4
hasElementbeam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
5
typebeam/73bbbe7a-0585-406f-be03-0a7b2583d082
ex:Array
hasElementCountbeam/73bbbe7a-0585-406f-be03-0a7b2583d082
50
elementTypebeam/73bbbe7a-0585-406f-be03-0a7b2583d082
ex:String
exhibitsPatternbeam/73bbbe7a-0585-406f-be03-0a7b2583d082
ex:repetition-pattern
uniformContentbeam/73bbbe7a-0585-406f-be03-0a7b2583d082
true
dataSourcebeam/73bbbe7a-0585-406f-be03-0a7b2583d082
inert-data-source
hasLastElementbeam/73bbbe7a-0585-406f-be03-0a7b2583d082
ex:string-element-50
hasFirstElementbeam/73bbbe7a-0585-406f-be03-0a7b2583d082
ex:string-element-1
isContiguousbeam/73bbbe7a-0585-406f-be03-0a7b2583d082
true
exhibitsUniformitybeam/73bbbe7a-0585-406f-be03-0a7b2583d082
true
elementValuebeam/73bbbe7a-0585-406f-be03-0a7b2583d082
Hello, 1234567890

References (12)

12 references
  1. ctx:claims/beam/5649feba-310c-425b-9ed5-db5583522d98
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5649feba-310c-425b-9ed5-db5583522d98
      Show excerpt
      client.data_object.create(data[0], "MyClass") print("Data inserted successfully.") except Exception as e: print(f"Failed to insert data: {e}") ``` #### 4. Check Query Implementation Ensure the query is correctly implemented and
  2. ctx:claims/beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
    • full textbeam-chunk
      text/plain1 KBdoc:beam/cbaeb875-e16f-44dd-bc0f-36b3945d0935
      Show excerpt
      print("Query successful:") print(result) ``` ### Example with Vector Search If you want to perform a vector search and retrieve both text and vector data, you can use the `nearVector` filter: ```python # Perform a vector search query_vec
  3. ctx:claims/beam/131a150d-00ba-472b-bdc7-209aa22bc91d
  4. ctx:claims/beam/7fff3d79-17a8-49d4-8004-60ae5ce21589
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7fff3d79-17a8-49d4-8004-60ae5ce21589
      Show excerpt
      return vectors # Example usage: vectorizer = Vectorizer(10) data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] vectors = vectorizer.vectorize(data) print(vectors) ``` However, I'm not sure if this is the most efficient way to handle high-dim
  5. ctx:claims/beam/90b88f4b-aaca-4903-a75f-9b39834a8bae
  6. ctx:claims/beam/eaf4690f-b473-4ddb-a331-5a3e658a880c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/eaf4690f-b473-4ddb-a331-5a3e658a880c
      Show excerpt
      ```python from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection import numpy as np # Connect to Milvus connections.connect("default", host="localhost", port="19530") # Define the schema fields = [ Field
  7. ctx:claims/beam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7953ed99-a1a2-4fbd-b99d-ee169d9d0607
      Show excerpt
      elif selected_metric == 'metric3': data = [20, 30, 40, 50, 60] figure = { 'data': [ go.Scatter( x=[1, 2, 3, 4, 5], y=data ) ], 'layout': go
  8. ctx:claims/beam/3ec50fdd-44d2-4d86-8a95-81a6108707be
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3ec50fdd-44d2-4d86-8a95-81a6108707be
      Show excerpt
      {"id": 2, "title": "Title 2", "content": "Content 2"}, ] @app.post("/query", response_model=QueryResponse) def query(request: QueryRequest): # Simulate querying the data store start = request.offset end = request.offset + r
  9. ctx:claims/beam/3d7f76b4-198b-443b-ae09-be09393d71f0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3d7f76b4-198b-443b-ae09-be09393d71f0
      Show excerpt
      from flask_timeout import FlaskTimeout app = Flask(__name__) limiter = Limiter(app, key_func=get_remote_address) timeout = FlaskTimeout(app) # Set the timeout to 3 seconds timeout.timeout = 3 # Define the API endpoint @app.route("/api/v1
  10. ctx:claims/beam/98a3085e-61bf-4cc5-a5e8-3b6100347179
  11. ctx:claims/beam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bd021feb-fbc0-4f36-88d2-dd73f92019a8
      Show excerpt
      except Exception as e: return jsonify({"error": str(e)}), 500 def retrieve_sparse_data(): # Simulate retrieving sparse data from a database or other source # This is just a placeholder function return {"data": [1, 2
  12. ctx:claims/beam/73bbbe7a-0585-406f-be03-0a7b2583d082

See also

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