Triple

T10029201
Position Surface form Disambiguated ID Type / Status
Subject Rio–Niterói Bridge E204809 entity
Predicate connects P390 FINISHED
Object Niterói E211032 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: Niterói | Statement: [Rio–Niterói Bridge, connects, Niterói]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niterói
Context triple: [Rio–Niterói Bridge, connects, Niterói]
  • A. Niterói chosen
    Niterói is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches, views of Rio across the bay, and iconic modernist architecture by Oscar Niemeyer.
  • B. Belford Roxo
    Belford Roxo is a municipality in the state of Rio de Janeiro, Brazil, located in the Baixada Fluminense region of the Rio de Janeiro metropolitan area.
  • C. Petrópolis
    Petrópolis is a historic mountain city in Brazil known as the former summer residence of the Brazilian imperial family and for its well-preserved 19th-century architecture.
  • D. Maricá
    Maricá is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its beaches, lagoons, and growing residential communities.
  • E. São João de Meriti
    São João de Meriti is a densely populated municipality in the Baixada Fluminense region of Rio de Janeiro state, Brazil, known as a major suburban area of the Rio de Janeiro metropolitan region.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcde69bd08190a5c79ec8487dfff6 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a17359081908c3ef7df819c74f9 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:54 p.m.