Triple

T21940757
Position Surface form Disambiguated ID Type / Status
Subject Natal, Rio Grande do Norte E541811 entity
Predicate hasBeach P1922 FINISHED
Object Ponta Negra NE NERFINISHED

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: Ponta Negra | Statement: [Natal, Rio Grande do Norte, hasBeach, Ponta Negra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponta Negra
Context triple: [Natal, Rio Grande do Norte, hasBeach, Ponta Negra]
  • A. Ponta Negra Beach chosen
    Ponta Negra Beach is a popular urban beach in Natal, Brazil, known for its lively tourist scene and the iconic Morro do Careca sand dune.
  • B. Ponta do Sol
    Ponta do Sol is a coastal town on the island of Santo Antão in Cape Verde, known for its dramatic oceanfront setting and role as a local administrative and fishing center.
  • C. Areia Branca
    Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
  • D. Porto das Dunas
    Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
  • E. Conceição da Barra
    Conceição da Barra is a coastal municipality in southeastern Brazil known for its beaches, mangroves, and traditional Afro-Brazilian culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12420b1cc81909b375891aedc0979 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.