fields
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
fields has 20 facts recorded in Dontopedia across 6 references, with 6 live disagreements.
Mostly:contains(5), rdf:type(4), has member(4)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (13)
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.
isMemberOfIs Member of(9)
assignsAssigns(1)
- Example Usage Block
ex:example-usage-block
contains-fields-arrayContains Fields Array(1)
- Qld Place Names Query Response
ex:qld-place-names-query-response
hasFieldsHas Fields(1)
- Collection Schema
ex:collection-schema
possessesPossesses(1)
- User
ex:user
Other facts (18)
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 |
|---|---|---|
| Contains | Field1 | [2] |
| Contains | Field2 | [2] |
| Contains | Field3 | [2] |
| Contains | Id Field | [5] |
| Contains | Embedding Field | [5] |
| Rdf:type | Data Structure | [3] |
| Rdf:type | Schema Field List | [4] |
| Rdf:type | Python List | [5] |
| Rdf:type | Collection | [6] |
| Has Member | Timestamps | [6] |
| Has Member | User Ids | [6] |
| Has Member | Operation Types | [6] |
| Has Member | Outcomes | [6] |
| Includes Definition | Ref No Field Definition | [1] |
| Includes Definition | Place Name Field Definition | [1] |
| Contains Field | Field Schema Id | [4] |
| Contains Field | Field Schema Vector | [4] |
| Is Defined in | Example Usage Block | [2] |
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 (6)
ctx:genes/rosie-reynolds-massacre-connection/loops358-367/summary-loop-364-e6ef9c2f18ctx:claims/beam/c017aa14-d297-41b4-88ff-66825370d070- full textbeam-chunktext/plain1 KB
doc:beam/c017aa14-d297-41b4-88ff-66825370d070Show excerpt
[Turn 1132] User: I'm designing a system for tech integration to boost accuracy by 12%, and I'm proposing 9 data fields. I want to make sure my design is compatible with the existing system, so can you help me review my data modeling? I've …
ctx:claims/beam/69d53d99-9e74-491d-a1aa-ba8c5b9b0e4c- full textbeam-chunktext/plain1 KB
doc:beam/69d53d99-9e74-491d-a1aa-ba8c5b9b0e4cShow excerpt
[Turn 1144] User: I'm designing a system for proposing 7 index fields to reduce search times by 15%, and I want to make sure my design is compatible with the existing system. Can you help me review my data modeling? I've got a list of field…
ctx:claims/beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69- full textbeam-chunktext/plain1 KB
doc:beam/d4c82979-1650-4b89-a2fa-a0ec5b37bb69Show 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…
ctx:claims/beam/845a6907-ed34-463a-9173-bf20dfde1501- full textbeam-chunktext/plain1 KB
doc:beam/845a6907-ed34-463a-9173-bf20dfde1501Show excerpt
FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=True), FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=128) ] schema = CollectionSchema(fields, "Test Collection") # Create a collection collectio…
ctx:claims/beam/a7bd7913-c177-40f6-88e7-f5515a24306e- full textbeam-chunktext/plain1 KB
doc:beam/a7bd7913-c177-40f6-88e7-f5515a24306eShow excerpt
[Turn 9454] User: As I continue to work on the RAG system's security, I'm realizing the importance of debugging strategies, particularly in identifying and addressing access violations, and I was wondering if you could share some best pract…
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