Address object
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
Address object has 13 facts recorded in Dontopedia across 3 references, with 4 live disagreements.
Mostly:rdf:type(4), has component(3), has attribute(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
Other facts (11)
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 | Address Instance | [1] |
| Rdf:type | Object | [2] |
| Rdf:type | Structured Address | [3] |
| Rdf:type | Address Object | [3] |
| Has Component | City Field | [3] |
| Has Component | State Field | [3] |
| Has Component | Zip Code Field | [3] |
| Has Attribute | Street Value 123 Main St | [2] |
| Has Attribute | Street Attribute | [2] |
| Expected in | Addresses Array | [1] |
| Has Nested Structure | true | [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.
References (3)
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…
See also
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