Triple

T22645752
Position Surface form Disambiguated ID Type / Status
Subject Hotel Nacional (Rio de Janeiro) E558957 entity
Predicate locatedIn P40 FINISHED
Object São Conrado 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: São Conrado | Statement: [Hotel Nacional (Rio de Janeiro), locatedIn, São Conrado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Conrado
Context triple: [Hotel Nacional (Rio de Janeiro), locatedIn, São Conrado]
  • A. São Conrado chosen
    São Conrado is an affluent beachfront neighborhood in Rio de Janeiro known for its luxury high-rises, hang-gliding from Pedra Bonita, and proximity to the massive Rocinha favela.
  • B. Conceição da Barra
    Conceição da Barra is a coastal municipality in southeastern Brazil known for its beaches, mangroves, and traditional Afro-Brazilian culture.
  • C. Parreira
    Parreira is a Portuguese-language surname most notably associated with Brazilian football coach Carlos Alberto Parreira, who led Brazil to victory in the 1994 FIFA World Cup.
  • D. Ponta do Sol
    Ponta do Sol is a coastal town on the island of Santo Antão in Cape Verde, known for its dramatic oceanfront setting and role as a local administrative and fishing center.
  • E. Taboão da Serra
    Taboão da Serra is a densely populated municipality in the São Paulo metropolitan area in southeastern Brazil.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170371fe08190a6a53809d185f8b5 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.