Triple

T22871521
Position Surface form Disambiguated ID Type / Status
Subject Praia de Calhetas E567207 entity
Predicate situadaPróximaA P61362 FINISHED
Object Praia de Suape 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 de Suape | Statement: [Praia de Calhetas, situadaPróximaA, Praia de Suape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia de Suape
Context triple: [Praia de Calhetas, situadaPróximaA, Praia de Suape]
  • A. Galeão Beach
    Galeão Beach is a coastal area in Rio de Janeiro, Brazil, historically significant as the namesake of the city’s main international airport.
  • B. Praia de Pernambuco
    Praia de Pernambuco is a popular beach in Guarujá, São Paulo, known for its scenic coastline, upscale resorts, and good conditions for surfing and water sports.
  • C. Praia de Maceió
    Praia de Maceió is a scenic beach in Camocim, Ceará, Brazil, known for its tranquil atmosphere, dunes, and traditional fishing boats.
  • D. Consolação Beach
    Consolação Beach is a popular Atlantic coastal beach near Peniche, Portugal, known for its strong surf, long sandy shoreline, and scenic fort overlooking the sea.
  • E. Suape Bay chosen
    Suape Bay is a coastal inlet in the state of Pernambuco, northeastern Brazil, known for hosting one of the country’s major industrial and port complexes.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f05c688819097ba3d24ea8e52f5 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.