Triple

T22755398
Position Surface form Disambiguated ID Type / Status
Subject Praia do Meio E562828 entity
Predicate adjacentTo P224 FINISHED
Object Praia do Forte NE NERFINISHED

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: Praia do Forte | Statement: [Praia do Meio, adjacentTo, Praia do Forte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia do Forte
Context triple: [Praia do Meio, adjacentTo, Praia do Forte]
  • A. Praia do Forte
    Praia do Forte is a popular urban beach in Cabo Frio, Brazil, known for its wide stretch of white sand, clear waters, and vibrant tourist infrastructure.
  • B. Praia do Forte chosen
    Praia do Forte is a popular Brazilian coastal village known for its palm-lined beaches, sea turtle conservation project, and eco-tourism resorts.
  • C. Praia do Furadouro
    Praia do Furadouro is a popular Atlantic beach and seaside resort area near Ovar in northern Portugal, known for its long sandy shoreline, surf-friendly waves, and lively summer atmosphere.
  • D. Praia do Camburi
    Praia do Camburi is a coastal beach in the city of Guarujá, Brazil, known for its scenic shoreline and Atlantic Ocean views.
  • E. Praia do Areal
    Praia do Areal is a beach located in the coastal municipality of Lourinhã in Portugal, known for its wide sandy shore and Atlantic surf.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179bc48788190b3deb9287d02cb2c completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:25 p.m.