Triple

T14813205
Position Surface form Disambiguated ID Type / Status
Subject Meriti River E348238 entity
Predicate locatedIn P40 FINISHED
Object Duque de Caxias E211033 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: Duque de Caxias | Statement: [Meriti River, locatedIn, Duque de Caxias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duque de Caxias
Context triple: [Meriti River, locatedIn, Duque de Caxias]
  • A. Duque de Caxias chosen
    Duque de Caxias is a major industrial and residential municipality in the metropolitan region of Rio de Janeiro, Brazil.
  • B. 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.
  • C. Club de Regatas Botafogo
    Club de Regatas Botafogo was a Brazilian sports club from Rio de Janeiro, best known for its rowing activities and for later becoming part of the modern Botafogo de Futebol e Regatas.
  • D. Botafogo
    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.
  • E. Palmeiras–Barra Funda
    Palmeiras–Barra Funda is a major multimodal transport hub in São Paulo, Brazil, integrating metro, suburban rail, and bus services.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389598848190ba15e6eea2ba2903 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:48 a.m.