Triple

T9249592
Position Surface form Disambiguated ID Type / Status
Subject Mirante do Leblon E222287 entity
Predicate name P16 FINISHED
Object Mirante do Leblon E222287 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: Mirante do Leblon | Statement: [Mirante do Leblon, name, Mirante do Leblon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirante do Leblon
Context triple: [Mirante do Leblon, name, Mirante do Leblon]
  • A. Mirante do Leblon chosen
    Mirante do Leblon is a popular seaside lookout point in Rio de Janeiro offering panoramic views of Leblon, Ipanema, and the Atlantic Ocean.
  • B. Pedra da Gávea
    Pedra da Gávea is a massive coastal monolith and popular hiking destination in Rio de Janeiro, Brazil, known for its dramatic cliffs and panoramic views of the city and Atlantic Ocean.
  • C. Mirante da Boa Viagem
    Mirante da Boa Viagem is a scenic lookout point in Niterói, Brazil, known for its panoramic views of Guanabara Bay and the city of Rio de Janeiro.
  • D. Praia da Urca
    Praia da Urca is a small, scenic beach in Rio de Janeiro’s Urca neighborhood, known for its calm waters, views of Sugarloaf Mountain, and relaxed local atmosphere.
  • E. Miradouro da Senhora do Monte
    Miradouro da Senhora do Monte is a popular hilltop viewpoint in Lisbon offering panoramic views over the city and the Tagus River.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.