Triple

T17201351
Position Surface form Disambiguated ID Type / Status
Subject Lagos, Portugal E417480 entity
Predicate hasBeach P1922 FINISHED
Object Meia Praia E148476 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Meia Praia | Statement: [Lagos, Portugal, hasBeach, Meia Praia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meia Praia
Context triple: [Lagos, Portugal, hasBeach, Meia Praia]
  • A. Meia Praia chosen
    Meia Praia is a long, sandy Atlantic beach near the town of Lagos in Portugal’s Algarve region, popular for swimming, water sports, and seaside relaxation.
  • B. Praia do Meio
    Praia do Meio is a popular urban beach in Natal, Brazil, known for its central location, coastal scenery, and role as a traditional leisure spot for locals and tourists.
  • C. Praia Grande
    Praia Grande is a coastal city in southeastern Brazil known for its extensive urban beaches and role as a major seaside destination in the state of São Paulo.
  • D. Praia Grande
    Praia Grande is a popular Atlantic beach in the Sintra region of Portugal, known for its long sandy shoreline, strong surf, and scenic cliffs.
  • E. Praia Grande
    Praia Grande is a popular sandy beach near the village of Ferragudo in Portugal’s Algarve region, known for its calm waters and family-friendly atmosphere.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daf2e5c81909c97d2e7a3ed7b88 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e9d4308190a7c97da472d5e4b7 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.