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Reformulated Query 1

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Reformulated Query 1 has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

3 facts·2 predicates·2 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

  • Request[2]all time · 20c17a4d B326 46a3 A5e8 1cd6d8e8c7ff
  • String[1]all time · 5a187c47 Fa54 48fc B754 00d1a5a7c6f3

Has ValuehasValue

  • Locate the closest cafe[1]sourceall time · 5a187c47 Fa54 48fc B754 00d1a5a7c6f3

Inbound mentions (3)

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.

hasElementHas Element(1)

relatedToRelated to(1)

semanticEquivalentSemantic Equivalent(1)

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.

3 undated
—
hasValuebeam/5a187c47-fa54-48fc-b754-00d1a5a7c6f3
Locate the closest cafe
—
typebeam/20c17a4d-b326-46a3-a5e8-1cd6d8e8c7ff
ex:Request
—
typebeam/5a187c47-fa54-48fc-b754-00d1a5a7c6f3
ex:String

References (2)

2 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/5a187c47-fa54-48fc-b754-00d1a5a7c6f3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5a187c47-fa54-48fc-b754-00d1a5a7c6f3
      Show excerpt
      from elasticsearch import Elasticsearch # Initialize Elasticsearch client es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) def index_reformulated_query(query, reformulated_query): # Index the reformulated query es.index(i…
  2. [2]beam-chunk1 fact
    customctx:claims/beam/20c17a4d-b326-46a3-a5e8-1cd6d8e8c7ff
    • full textbeam-chunk
      text/plain1 KBdoc:beam/20c17a4d-b326-46a3-a5e8-1cd6d8e8c7ff
      Show excerpt
      ("What is the weather today?", "Tell me the current weather conditions"), ("Book a flight to New York", "Reserve a ticket to New York City"), ("How do I get to the airport?", "Provide directions to the airport") ] for original_…

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