Triple

T8866563
Position Surface form Disambiguated ID Type / Status
Subject Niterói E211032 entity
Predicate hasLandmark P105 FINISHED
Object MAC Niterói E154545 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: MAC Niterói | Statement: [Niterói, hasLandmark, MAC Niterói]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAC Niterói
Context triple: [Niterói, hasLandmark, MAC Niterói]
  • A. MAC Niterói chosen
    MAC Niterói is a landmark contemporary art museum in Niterói, Brazil, renowned for its futuristic saucer-shaped design by architect Oscar Niemeyer overlooking Guanabara Bay.
  • B. Niterói
    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.
  • C. Rio de Janeiro Big Four
    The Rio de Janeiro Big Four are the four most prominent and historically successful football clubs from Rio de Janeiro that dominate the state’s football scene.
  • D. 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.
  • E. Laranjeiras
    Laranjeiras is a traditional residential neighborhood in Rio de Janeiro, Brazil, known for its historic architecture, tree-lined streets, and strong cultural and football heritage.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6106d41081909db710bda8aaf6fd completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba113870819096438aebeddbf34a completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:51 p.m.