bool
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
bool has 93 facts recorded in Dontopedia across 19 references, with 17 live disagreements.
Mostly:rdf:type(17), has clause(8), contains(5)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Query Type[1]all time · 7bd85e51 293e 474e 97e0 39e4f7463398
- Bool Query[4]all time · C2651687 4b3e 4157 8b59 152b9cf0d729
- Elasticsearch Query Type[5]all time · Ef7935db F389 498e Baf5 Aff58f744d6b
- Query Type[6]all time · 67b3880f 4304 41f2 A990 5fffd8b6b339
- Query[7]sourceall time · 25e2b9f3 759c 4e89 9ed2 A7e519f20d1a
- Query Type[8]all time · 52477875 5368 4c2c 89e1 08b2f4d72518
- Elasticsearch Query Type[9]all time · 6977f5b8 A0d9 4926 B326 5bab073761a8
- Query Type[10]all time · 2e6d9029 C016 4f7e 8cb4 E4aceb2e6845
- Query Structure[11]sourceall time · 2157dee9 E970 4d48 9c1b 078d02e8d4d8
- Query Type[12]all time · 1a3ec59a C5a8 4cc0 9e26 Ce87ed77ed86
Inbound mentions (43)
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.
memberOfMember of(7)
- Filter Clause
ex:filter-clause - Filter Clause
ex:filter-clause - Must Clause
ex:must-clause - Must Clause
ex:must-clause - Must Not Clause
ex:must-not-clause - Should Clause
ex:should-clause - Should Clause
ex:should-clause
requiresProperUseOfRequires Proper Use of(5)
- Filter Clause
ex:filter-clause - Must Clause
ex:must-clause - Must Not Clause
ex:must-not-clause - Query Type Selection
ex:query-type-selection - Should Clause
ex:should-clause
usedInUsed in(3)
- Filter Context
ex:filter-context - Filter Context
ex:filter-context - Filters
filters
usesQueryTypeUses Query Type(3)
- Bool Query Command
ex:bool-query-command - Query Example 1
ex:query-example-1 - Search Query
ex:search-query
containedByContained by(2)
- Filter Clause
ex:filter-clause - Must Clause
ex:must-clause
containsQueryContains Query(2)
- Bool Query Body
ex:bool-query-body - Search Query Example
ex:search-query-example
hasBoolQueryHas Bool Query(2)
- Original Query
ex:original-query - Search Query
ex:search-query
hasQueryClauseHas Query Clause(2)
- Original Query
ex:original-query - Search Query
ex:search-query
hasQueryStructureHas Query Structure(2)
- Example Query 1
ex:example-query-1 - Example Query 2
ex:example-query-2
hasQueryTypeHas Query Type(2)
- Example Query 1
ex:example-query-1 - Intermediate Original Query
ex:intermediate-original-query
containsContains(1)
- Query Section
ex:query-section
hasBoolStructureHas Bool Structure(1)
- Intermediate Original Query
ex:intermediate-original-query
hasChildHas Child(1)
- Query Section
ex:query-section
hasComponentHas Component(1)
- Query Object
ex:query-object
hasQueryHas Query(1)
- Search Request
ex:search-request
hasStructureHas Structure(1)
- Search Query
ex:search-query
isConditionOfIs Condition of(1)
- Should Condition
ex:should-condition
mentionsQueryTypeMentions Query Type(1)
- Query Type Selection
ex:query-type-selection
partOfPart of(1)
- Filter Context
ex:filter-context
queryStructureQuery Structure(1)
- Basic Search Query
ex:basic-search-query
rdf:typeRdf:type(1)
- Bool Must Query
ex:bool-must-query
usesUses(1)
- Filter Context
ex:filter-context
usesBoolQueryUses Bool Query(1)
- Intermediate Original Query
ex:intermediate-original-query
Other facts (65)
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.
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 (19)
ctx:claims/beam/7bd85e51-293e-474e-97e0-39e4f7463398- full textbeam-chunktext/plain1 KB
doc:beam/7bd85e51-293e-474e-97e0-39e4f7463398Show excerpt
"bool": { "must": [ { "match": { "title": "example" } }, { "match": { "content": "example" } } ], "filter": [ { "term": { "status": "active" }} ] …
ctx:claims/beam/30cfcb2d-27af-4962-b51a-166d7c86b3a4ctx:claims/beam/da7bd534-79a8-4eed-8605-b5947e8a32d2- full textbeam-chunktext/plain1 KB
doc:beam/da7bd534-79a8-4eed-8605-b5947e8a32d2Show excerpt
metadata.update_artifact("1", name="UpdatedArtifact1", version="1.1", owner="Charlie") # Remove artifact metadata.remove_artifact("2") # Search artifacts results = metadata.search_artifacts(owner="Charlie") for artifact in results: pr…
ctx:claims/beam/c2651687-4b3e-4157-8b59-152b9cf0d729ctx:claims/beam/ef7935db-f389-498e-baf5-aff58f744d6bctx:claims/beam/67b3880f-4304-41f2-a990-5fffd8b6b339- full textbeam-chunktext/plain1 KB
doc:beam/67b3880f-4304-41f2-a990-5fffd8b6b339Show excerpt
- Understanding when to use `match`, `term`, `bool`, `filter`, etc. - Proper use of `must`, `should`, `must_not`, and `filter` clauses. 2. **Filter Context**: - Using `filter` context for conditions that can be cached and reused. …
ctx:claims/beam/25e2b9f3-759c-4e89-9ed2-a7e519f20d1a- full textbeam-chunktext/plain1 KB
doc:beam/25e2b9f3-759c-4e89-9ed2-a7e519f20d1aShow excerpt
} } } }' ``` 2. **Index Documents**: - Use the `POST` method to index documents. - Example indexing: ```sh curl -X POST "http://localhost:9200/my_index/_doc" -H 'Content-Type: applicatio…
ctx:claims/beam/52477875-5368-4c2c-89e1-08b2f4d72518- full textbeam-chunktext/plain1 KB
doc:beam/52477875-5368-4c2c-89e1-08b2f4d72518Show excerpt
- **Filter Cache**: Use the filter cache for frequently used filters. ### 4. **Monitor and Profile** - **Use the Explain API**: Use the `_explain` API to understand how Elasticsearch is executing your query. - **Use the Profile API**: Use…
ctx:claims/beam/6977f5b8-a0d9-4926-b326-5bab073761a8- full textbeam-chunktext/plain1 KB
doc:beam/6977f5b8-a0d9-4926-b326-5bab073761a8Show excerpt
When searching, you can leverage the enriched data to improve relevance. ```json GET /my_index/_search { "query": { "bool": { "should": [ { "match": { "normalized_text": "sample" } …
ctx:claims/beam/2e6d9029-c016-4f7e-8cb4-e4aceb2e6845- full textbeam-chunktext/plain1 KB
doc:beam/2e6d9029-c016-4f7e-8cb4-e4aceb2e6845Show excerpt
- Batch documents into groups of 500-1000 for optimal performance. #### Example Code ```python from elasticsearch import Elasticsearch es = Elasticsearch(["http://localhost:9200"]) actions = [ { "_index": "my_index", …
ctx:claims/beam/2157dee9-e970-4d48-9c1b-078d02e8d4d8- full textbeam-chunktext/plain1 KB
doc:beam/2157dee9-e970-4d48-9c1b-078d02e8d4d8Show excerpt
- **Index Shards**: Ensure that the number of shards is appropriate for your data volume. Too many shards can lead to performance degradation. ```json PUT /your-index-name/_settings { "number_of_shards": 5 } ``` ### 2. Query…
ctx:claims/beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86- full textbeam-chunktext/plain1 KB
doc:beam/1a3ec59a-c5a8-4cc0-9e26-ce87ed77ed86Show excerpt
Ensure your queries are optimized for performance. 1. **Use Efficient Query Types**: Prefer `term` and `terms` queries over `match` and `match_phrase` queries when possible. ```json { "query": { "bool": { "mu…
ctx:claims/beam/670e056f-4c4f-44c8-a6bd-86fd66ec1102ctx:claims/beam/b5493bfc-15b0-462f-9e72-cb64b5007812ctx:claims/beam/01eaccfb-7615-4204-98ea-bc544cdc2fbb- full textbeam-chunktext/plain1 KB
doc:beam/01eaccfb-7615-4204-98ea-bc544cdc2fbbShow excerpt
- Use `refresh_interval` setting in the index settings. ### Example Configuration Here's an example of how you might configure your Elasticsearch index and queries for better performance: ```python from elasticsearch import Elasticsear…
ctx:claims/beam/9b8f6129-279b-4ba5-b802-69921d2c1ae5- full textbeam-chunktext/plain1 KB
doc:beam/9b8f6129-279b-4ba5-b802-69921d2c1ae5Show excerpt
- **Replicas**: Use replicas to improve read performance and availability. Typically, 1 replica is sufficient, but you can adjust based on your needs. ### 2. **Data Distribution and Routing** - **Index Settings**: Configure index settin…
ctx:claims/beam/958b21c1-ac2f-492c-9ace-ddc56b7f93f6ctx:claims/beam/63484f14-f077-4119-aad4-2ec5f59e1801ctx:claims/beam/c6323fc0-a08f-4ae2-9fa7-873afeec348d- full textbeam-chunktext/plain1 KB
doc:beam/c6323fc0-a08f-4ae2-9fa7-873afeec348dShow excerpt
"number_of_shards": 5, "number_of_replicas": 1, "refresh_interval": "30s" } mappings = { "properties": { "title": {"type": "text"}, "content": {"type": "text", "analyzer": "standard"} } } # Create an in…
See also
- Must Clause
- Filter Clause
- Query Type
- Must Array
- Bool Query
- Should Clause
- Original Query
- Elasticsearch Query Type
- Must Key
- Should Key
- Must and Should
- Title Match
- Content Match
- Tags Match
- Query
- Must Condition
- Result Narrowing
- Bool Nested Object
- Should Condition
- Search Query Example
- Combined Conditions
- Query Structure
- Filter Context
- Elasticsearch Query
- Elasticsearch Bool Query
- Match Condition
- Match Clause
- Filter Array
- Search Query
- Term Clause
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.