Triple

T10065924
Position Surface form Disambiguated ID Type / Status
Subject Cinelândia E213101 entity
Predicate near P350 FINISHED
Object Lapa neighborhood E220149 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: Lapa neighborhood | Statement: [Cinelândia, near, Lapa neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapa neighborhood
Context triple: [Cinelândia, near, Lapa neighborhood]
  • A. Lapa neighborhood chosen
    The Lapa neighborhood is a historic and bohemian district in Rio de Janeiro, Brazil, renowned for its vibrant nightlife, samba clubs, and colonial-era architecture.
  • B. Lapa neighborhood
    Lapa neighborhood is an upscale, historic district in Lisbon known for its embassies, elegant mansions, and tranquil residential character.
  • C. Olaria neighborhood
    Olaria neighborhood is a traditional residential district in the North Zone of Rio de Janeiro, known for its working-class character and local football culture.
  • D. Vidigal neighborhood
    Vidigal neighborhood is a favela in Rio de Janeiro, Brazil, known for its hillside location between Leblon and São Conrado, ocean views, and vibrant community life.
  • E. Jurujuba neighborhood
    Jurujuba neighborhood is a coastal district of Niterói, Brazil, known for its traditional fishing community, scenic views of Guanabara Bay, and growing tourism.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30041f8a88190b24de139e4acf9bb completed April 6, 2026, 12:37 a.m.
Created at: March 30, 2026, 8:58 p.m.