Triple

T8795104
Position Surface form Disambiguated ID Type / Status
Subject Pão de Açúcar E209269 entity
Predicate neighborhood P988 FINISHED
Object Urca E209268 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: Urca | Statement: [Pão de Açúcar, neighborhood, Urca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urca
Context triple: [Pão de Açúcar, neighborhood, Urca]
  • A. Urca chosen
    Urca is a picturesque, upscale seaside neighborhood in Rio de Janeiro, Brazil, known for its tranquil streets, historic architecture, and scenic views of Guanabara Bay.
  • B. Fort Copacabana
    Fort Copacabana is a historic coastal military fort and popular tourist attraction located on the iconic Copacabana beachfront in Rio de Janeiro, Brazil.
  • C. 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.
  • D. Fonte da Vila
    Fonte da Vila is a historic public fountain in Castelo de Vide, Portugal, noted for its ornate architecture and role as a central gathering point in the town.
  • E. 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.
  • 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_69cfc1bbf6b881909bc154caa2fcadbe completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:43 p.m.