Triple

T8795049
Position Surface form Disambiguated ID Type / Status
Subject Urca E209268 entity
Predicate hasTouristAttraction P530 FINISHED
Object Praia Vermelha E227604 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: Praia Vermelha | Statement: [Urca, hasTouristAttraction, Praia Vermelha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praia Vermelha
Context triple: [Urca, hasTouristAttraction, Praia Vermelha]
  • A. Praia Vermelha chosen
    Praia Vermelha is a small, scenic beach in Rio de Janeiro, Brazil, known for its calm waters, reddish sand, and dramatic views of Sugarloaf Mountain.
  • B. Praia Formosa
    Praia Formosa is a popular sandy beach on Santa Maria Island in the Azores, known for its calm waters and scenic coastal setting.
  • C. Praia da Marinha
    Praia da Marinha is a famous Algarve beach in southern Portugal, renowned for its dramatic limestone cliffs, clear turquoise waters, and picturesque rock formations.
  • D. Praia das Barreiras
    Praia das Barreiras is a scenic beach in Camocim, Ceará, Brazil, known for its striking coastal cliffs, expansive sands, and tranquil atmosphere.
  • E. Praia do Madeiro
    Praia do Madeiro is a scenic beach near Pipa in Brazil, known for its calm waters, surrounding cliffs, and frequent dolphin sightings.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa0c6008190a5c4d87510ad5bbd completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f532ed48190a21996f865428831 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.