Triple

T10630581
Position Surface form Disambiguated ID Type / Status
Subject Baixada Fluminense E250441 entity
Predicate containsAdministrativeUnit P3892 FINISHED
Object Nilópolis E856565 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: Nilópolis | Statement: [Baixada Fluminense, containsAdministrativeUnit, Nilópolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilópolis
Context triple: [Baixada Fluminense, containsAdministrativeUnit, Nilópolis]
  • A. Nilópolis chosen
    Nilópolis is a densely populated municipality in the state of Rio de Janeiro, Brazil, known for its urban character and strong cultural ties to the Rio de Janeiro metropolitan area.
  • B. Itanhaém
    Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
  • C. Cotia
    Cotia is a municipality in the metropolitan region of São Paulo, Brazil, known for its residential areas, green spaces, and proximity to the capital city.
  • D. Cumbuco
    Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
  • E. Morada Nova
    Morada Nova is a municipality in the state of Ceará in northeastern Brazil, known for its agricultural activities and semi-arid landscape.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bb4bbf08190994ea9123c0b2dab completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:01 p.m.