Dontopedia

json_data

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

json_data has 28 facts recorded in Dontopedia across 8 references, with 4 live disagreements.

28 facts·16 predicates·8 sources·4 in dispute

Mostly:rdf:type(6), has field(5), has phone number(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (24)

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.

extractedFromExtracted From(2)

isPhoneNumberOfIs Phone Number of(2)

returnsReturns(2)

sourceSource(2)

appliesToApplies to(1)

checksChecks(1)

dataSourceData Source(1)

dataSourcePOSTData Source Post(1)

discussesTopicDiscusses Topic(1)

drawsAttentionToDraws Attention to(1)

extractsExtracts(1)

extractsDataExtracts Data(1)

hasVariableHas Variable(1)

inputTypeInput Type(1)

isAddressOfIs Address of(1)

parsesResponseContentParses Response Content(1)

processesProcesses(1)

readsRequestBodyReads Request Body(1)

requestsInputRequests Input(1)

supportsSupports(1)

Other facts (26)

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.

26 facts
PredicateValueRef
Rdf:typeParsed Data[1]
Rdf:typeVariable[4]
Rdf:typeJson Data[5]
Rdf:typeJson Data[6]
Rdf:typeHttp Request Body[7]
Rdf:typeData Type[8]
Has FieldStreet[2]
Has FieldCity[2]
Has FieldState[2]
Has FieldZip Code[2]
Has FieldPhone Numbers[2]
Has Phone NumberPhone 1[5]
Has Phone NumberPhone 2[5]
Content TypeUser Object With Addresses[3]
Has TypeString[4]
Assigned ValueJson String Literal[4]
Has AddressAddress 1[5]
Has Phone Number ArrayPhone Numbers Array[5]
Contains Structured DataAddress Object[5]
Has Address ObjectAddress Object[5]
ExemplifiesPydantic Input Data[5]
Has Multiple Phone Numberstrue[5]
Assigned toData Variable[6]
Extracted byPost[7]
Extracted ViaGet Json[8]
Retrieved byGet Json[8]

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/41e37e5c-038a-4e71-bfc7-6a9e14b02984
ex:ParsedData
hasFieldbeam/25cc5027-3f32-436f-a0df-09dba47fbc79
ex:street
hasFieldbeam/25cc5027-3f32-436f-a0df-09dba47fbc79
ex:city
hasFieldbeam/25cc5027-3f32-436f-a0df-09dba47fbc79
ex:state
hasFieldbeam/25cc5027-3f32-436f-a0df-09dba47fbc79
ex:zipCode
hasFieldbeam/25cc5027-3f32-436f-a0df-09dba47fbc79
ex:phoneNumbers
contentTypebeam/bc5e27fc-92d9-4724-9d81-9267087b9ede
ex:user-object-with-addresses
typebeam/2d6140ef-3605-4154-b558-d9e3248a90e0
ex:Variable
labelbeam/2d6140ef-3605-4154-b558-d9e3248a90e0
json_data
hasTypebeam/2d6140ef-3605-4154-b558-d9e3248a90e0
ex:String
assignedValuebeam/2d6140ef-3605-4154-b558-d9e3248a90e0
ex:json-string-literal
typebeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:JsonData
hasAddressbeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:address-1
hasPhoneNumberbeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:phone-1
hasPhoneNumberbeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:phone-2
hasPhoneNumberArraybeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:phone-numbers-array
containsStructuredDatabeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:address-object
hasAddressObjectbeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:address-object
exemplifiesbeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
ex:pydantic-input-data
hasMultiplePhoneNumbersbeam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
true
typebeam/7f888b53-e9dd-4bea-962b-b5a76e7cc140
ex:JsonData
assignedTobeam/7f888b53-e9dd-4bea-962b-b5a76e7cc140
ex:data-variable
extractedBybeam/fdf8898b-efa0-4bd1-8940-8157d32e6ff0
ex:post
typebeam/fdf8898b-efa0-4bd1-8940-8157d32e6ff0
ex:HTTPRequestBody
typebeam/a8f42853-2865-4e3c-a260-ec8d3de4712d
ex:DataType
labelbeam/a8f42853-2865-4e3c-a260-ec8d3de4712d
JSON Data
extractedViabeam/a8f42853-2865-4e3c-a260-ec8d3de4712d
ex:get_json
retrievedBybeam/a8f42853-2865-4e3c-a260-ec8d3de4712d
ex:get_json

References (8)

8 references
  1. ctx:claims/beam/41e37e5c-038a-4e71-bfc7-6a9e14b02984
    • full textbeam-chunk
      text/plain1 KBdoc:beam/41e37e5c-038a-4e71-bfc7-6a9e14b02984
      Show excerpt
      import aiohttp import asyncio import time # Define a function to make an API call with retries async def make_api_call(session, query, max_retries=3): url = f"https://example.com/api/{query}" for attempt in range(max_retries + 1):
  2. ctx:claims/beam/25cc5027-3f32-436f-a0df-09dba47fbc79
    • full textbeam-chunk
      text/plain1 KBdoc:beam/25cc5027-3f32-436f-a0df-09dba47fbc79
      Show excerpt
      { "street": "123 Main St", "city": "Anytown", "state": "CA", "zip_code": "12345" } ], "phone_numbers": ["+1-555-1234", "+1-555-5678"] } """ try: user_data = json.l
  3. ctx:claims/beam/bc5e27fc-92d9-4724-9d81-9267087b9ede
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bc5e27fc-92d9-4724-9d81-9267087b9ede
      Show excerpt
      [Turn 5319] Assistant: Integrating Pydantic 2.0.3 for data validation is a great choice, given its efficient parsing speed and robust validation capabilities. Pydantic can help you ensure that your data adheres to a defined schema, making y
  4. ctx:claims/beam/2d6140ef-3605-4154-b558-d9e3248a90e0
  5. ctx:claims/beam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e
      Show excerpt
      "city": "Anytown", "state": "CA", "zip_code": "12345" } ], "phone_numbers": ["+1-555-1234", "+1-555-5678"] } """ validate_and_process(json_data) ``` ### Conclusion Using Pydantic for da
  6. ctx:claims/beam/7f888b53-e9dd-4bea-962b-b5a76e7cc140
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7f888b53-e9dd-4bea-962b-b5a76e7cc140
      Show excerpt
      logging.basicConfig(level=logging.DEBUG) def parse_request(request): try: # Parsing logic here data = request.json() # Validate data if not data: raise ValueError("Invalid request data")
  7. ctx:claims/beam/fdf8898b-efa0-4bd1-8940-8157d32e6ff0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/fdf8898b-efa0-4bd1-8940-8157d32e6ff0
      Show excerpt
      # For demonstration, let's assume we have a function `perform_vector_search` results = perform_vector_search(query_vector, top_k) return jsonify(results) api.add_resource(VectorSearch, '/vector-search') ```
  8. ctx:claims/beam/a8f42853-2865-4e3c-a260-ec8d3de4712d
    • full textbeam-chunk
      text/plain935 Bdoc:beam/a8f42853-2865-4e3c-a260-ec8d3de4712d
      Show excerpt
      # Perform vector search logic here results = perform_vector_search(query_vector, top_k) return jsonify(results) def post(self): data = request.get_json() query_vector = data.

See also

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