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.
Mostly:rdf:type(6), has field(5), has phone number(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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)
- Query Vector Param
ex:query-vector-param - Top K Param
ex:top-k-param
returnsReturns(2)
- Response.json
ex:response.json - Return Statement
ex:return-statement
sourceSource(2)
- Query Vector Param
ex:query-vector-param - Top K Param
ex:top-k-param
appliesToApplies to(1)
- Data Validation Instruction 2
ex:data-validation-instruction-2
checksChecks(1)
- Data Validation
ex:data-validation
dataSourceData Source(1)
- Query Vector
ex:query_vector
dataSourcePOSTData Source Post(1)
- Query Vector
ex:query_vector
discussesTopicDiscusses Topic(1)
- Message 2
ex:message-2
drawsAttentionToDraws Attention to(1)
- Msg 2026 02 28 23 19
ex:msg-2026-02-28-23-19
extractsExtracts(1)
- Request Json Method
ex:request-json-method
extractsDataExtracts Data(1)
- Post
ex:post
hasVariableHas Variable(1)
- Validate and Process
ex:validate-and-process
inputTypeInput Type(1)
- Tokenization Process
ex:tokenization-process
isAddressOfIs Address of(1)
- Address 1
ex:address-1
parsesResponseContentParses Response Content(1)
- Json Method
ex:json-method
processesProcesses(1)
- Validate and Process
ex:validate-and-process
readsRequestBodyReads Request Body(1)
- Post Method
ex:post-method
requestsInputRequests Input(1)
- Omega Clarification Message
ex:omega-clarification-message
supportsSupports(1)
- Json Schema
ex:json-schema
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Parsed Data | [1] |
| Rdf:type | Variable | [4] |
| Rdf:type | Json Data | [5] |
| Rdf:type | Json Data | [6] |
| Rdf:type | Http Request Body | [7] |
| Rdf:type | Data Type | [8] |
| Has Field | Street | [2] |
| Has Field | City | [2] |
| Has Field | State | [2] |
| Has Field | Zip Code | [2] |
| Has Field | Phone Numbers | [2] |
| Has Phone Number | Phone 1 | [5] |
| Has Phone Number | Phone 2 | [5] |
| Content Type | User Object With Addresses | [3] |
| Has Type | String | [4] |
| Assigned Value | Json String Literal | [4] |
| Has Address | Address 1 | [5] |
| Has Phone Number Array | Phone Numbers Array | [5] |
| Contains Structured Data | Address Object | [5] |
| Has Address Object | Address Object | [5] |
| Exemplifies | Pydantic Input Data | [5] |
| Has Multiple Phone Numbers | true | [5] |
| Assigned to | Data Variable | [6] |
| Extracted by | Post | [7] |
| Extracted Via | Get Json | [8] |
| Retrieved by | Get 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.
References (8)
ctx:claims/beam/41e37e5c-038a-4e71-bfc7-6a9e14b02984- full textbeam-chunktext/plain1 KB
doc:beam/41e37e5c-038a-4e71-bfc7-6a9e14b02984Show 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): …
ctx:claims/beam/25cc5027-3f32-436f-a0df-09dba47fbc79- full textbeam-chunktext/plain1 KB
doc:beam/25cc5027-3f32-436f-a0df-09dba47fbc79Show 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…
ctx:claims/beam/bc5e27fc-92d9-4724-9d81-9267087b9ede- full textbeam-chunktext/plain1 KB
doc:beam/bc5e27fc-92d9-4724-9d81-9267087b9edeShow 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…
ctx:claims/beam/2d6140ef-3605-4154-b558-d9e3248a90e0ctx:claims/beam/f3ec74ad-a416-4af2-ae81-66e5caf0f16e- full textbeam-chunktext/plain1 KB
doc:beam/f3ec74ad-a416-4af2-ae81-66e5caf0f16eShow 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…
ctx:claims/beam/7f888b53-e9dd-4bea-962b-b5a76e7cc140- full textbeam-chunktext/plain1 KB
doc:beam/7f888b53-e9dd-4bea-962b-b5a76e7cc140Show 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") …
ctx:claims/beam/fdf8898b-efa0-4bd1-8940-8157d32e6ff0- full textbeam-chunktext/plain1 KB
doc:beam/fdf8898b-efa0-4bd1-8940-8157d32e6ff0Show 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') ```…
ctx:claims/beam/a8f42853-2865-4e3c-a260-ec8d3de4712d- full textbeam-chunktext/plain935 B
doc:beam/a8f42853-2865-4e3c-a260-ec8d3de4712dShow 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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