Triple

T1932120
Position Surface form Disambiguated ID Type / Status
Subject Botafogo FR E40968 entity
Predicate locatedIn P40 FINISHED
Object Botafogo, Rio de Janeiro E39168 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: Botafogo, Rio de Janeiro | Statement: [Botafogo FR, locatedIn, Botafogo, Rio de Janeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botafogo, Rio de Janeiro
Context triple: [Botafogo FR, locatedIn, Botafogo, Rio de Janeiro]
  • A. Botafogo chosen
    Botafogo is a seaside neighborhood in Rio de Janeiro known for its iconic view of Sugarloaf Mountain and its mix of residential, commercial, and cultural attractions.
  • B. Duque de Caxias
    Duque de Caxias is a major industrial and residential municipality in the metropolitan region of Rio de Janeiro, Brazil.
  • C. Flamengo
    Flamengo is one of Brazil’s most popular and successful football clubs, based in Rio de Janeiro and renowned for its massive fanbase and historic achievements in domestic and international competitions.
  • D. Botafogo FR
    Botafogo FR is a traditional Brazilian football club from Rio de Janeiro, known for its black-and-white striped kit and rich history in national and international competitions.
  • E. Laranjeiras
    Laranjeiras is a historic colonial-era city in the Brazilian state of Sergipe, known for its preserved architecture and rich Afro-Brazilian cultural traditions.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8405a58819096dc1eeea8fc0b93 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:35 p.m.