Dontopedia

Match Object

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

Match Object has 8 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

8 facts·5 predicates·4 sources·2 in dispute

Mostly:rdf:type(3), contains(2), contains field(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound 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.

containsContains(1)

hasValueHas Value(1)

Other facts (8)

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.

8 facts
PredicateValueRef
Rdf:typeJson Object[2]
Rdf:typeJson Object[3]
Rdf:typePython Dictionary[4]
ContainsText Key[2]
ContainsMatch Field[3]
Contains Fieldcontent[1]
Contains Valueexample[1]
Contains ItemTerm Match Value[4]

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.

containsFieldbeam/5bf33c44-db58-4937-b48b-2e0fbb169a1b
content
containsValuebeam/5bf33c44-db58-4937-b48b-2e0fbb169a1b
example
typebeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
ex:JSONObject
containsbeam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
ex:text-key
typebeam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
ex:JsonObject
containsbeam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
ex:match-field
typebeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:PythonDictionary
containsItembeam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
ex:term-match-value

References (4)

4 references
  1. ctx:claims/beam/5bf33c44-db58-4937-b48b-2e0fbb169a1b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5bf33c44-db58-4937-b48b-2e0fbb169a1b
      Show excerpt
      # Example usage es = Elasticsearch(["http://localhost:9200"]) indexer = Indexer(es) query_handler = QueryHandler(es) result_aggregator = ResultAggregator() cache_manager = CacheManager() documents = ["Document 1", "Document 2", "Document 3
  2. ctx:claims/beam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5f26f8c5-dfd9-40e7-a81f-f613a88eead6
      Show excerpt
      } }) # Bulk index some data documents = [ {'_index': index_name, '_source': {'text': 'This is some example text'}}, {'_index': index_name, '_source': {'text': 'Another example text'}}, {'_index': index_name, '_source': {'te
  3. ctx:claims/beam/670e056f-4c4f-44c8-a6bd-86fd66ec1102
  4. ctx:claims/beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/dc43e263-ae12-4ebe-aaee-b46ef58b17d0
      Show excerpt
      'settings': { 'analysis': { 'analyzer': { 'synonym_analyzer': { 'type': 'custom', 'tokenizer': 'standard', 'filter': ['synonym_filter']

See also

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