Triple

T8796334
Position Surface form Disambiguated ID Type / Status
Subject Botafogo Beach E209297 entity
Predicate hasViewOf P854 FINISHED
Object Pão de Açúcar E209269 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: Pão de Açúcar | Statement: [Botafogo Beach, hasViewOf, Pão de Açúcar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pão de Açúcar
Context triple: [Botafogo Beach, hasViewOf, Pão de Açúcar]
  • A. Pão de Açúcar chosen
    Pão de Açúcar is the iconic granite peak at the entrance of Guanabara Bay in Rio de Janeiro, Brazil, famous for its panoramic cable car views of the city and coastline.
  • B. Suzano
    Suzano is a municipality in the eastern part of the São Paulo metropolitan region in Brazil, known for its industrial activity and integration into Greater São Paulo’s urban area.
  • C. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • D. Confeitaria Colombo
    Confeitaria Colombo is a historic Belle Époque café and pastry shop in downtown Rio de Janeiro, renowned as one of the city’s most traditional and elegant landmarks.
  • E. Armazéns do Porto
    Armazéns do Porto is a renovated waterfront warehouse complex in Recife’s historic district, now housing restaurants, cultural venues, and leisure spaces along the port.
  • 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_69cc5fa24ca08190a7738a7f1c446456 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:44 p.m.