Triple

T1877091
Position Surface form Disambiguated ID Type / Status
Subject Botafogo E39168 entity
Predicate hasLandmark P105 FINISHED
Object Botafogo Beach E209297 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: Botafogo Beach | Statement: [Botafogo, hasLandmark, Botafogo Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botafogo Beach
Context triple: [Botafogo, hasLandmark, Botafogo Beach]
  • A. Botafogo Beach chosen
    Botafogo Beach is a small urban beach in Rio de Janeiro, Brazil, known for its scenic views of Sugarloaf Mountain and its location in the Botafogo neighborhood.
  • B. Ponta Negra Beach
    Ponta Negra Beach is a popular urban beach in Natal, Brazil, known for its lively tourist scene and the iconic Morro do Careca sand dune.
  • C. Ipanema Beach
    Ipanema Beach is a famous and fashionable stretch of sand in Rio de Janeiro, Brazil, renowned for its vibrant beach culture, scenic views, and influence on music and popular culture.
  • D. Santo António Beach
    Santo António Beach is a popular sandy seaside destination on Portugal’s Algarve coast, near the town of Vila Real de Santo António and close to the Spanish border.
  • E. Praia de São Rafael
    Praia de São Rafael is a picturesque Algarve beach in southern Portugal, known for its golden sand, clear waters, and dramatic limestone rock formations.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0da543481908ab25806e6b80375 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ca2bd48190b055dd2e657c4dd9 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:34 p.m.