Triple

T5777740
Position Surface form Disambiguated ID Type / Status
Subject Natal E127485 entity
Predicate hasBeach P1922 FINISHED
Object Ponta Negra Beach E125389 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: Ponta Negra Beach | Statement: [Natal, hasBeach, Ponta Negra Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ponta Negra Beach
Context triple: [Natal, hasBeach, Ponta Negra Beach]
  • 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. Botafogo Beach
    Botafogo Beach is a small urban beach in Rio de Janeiro, Brazil, known for its scenic views of Sugarloaf Mountain and its location in the Botafogo neighborhood.
  • C. Ipanema Beach
    Ipanema Beach is a famous and fashionable stretch of sand in Rio de Janeiro, Brazil, renowned for its vibrant beach culture, scenic views, and influence on music and popular culture.
  • D. Santos Beach
    Santos Beach is a popular sandy swimming and family-friendly recreational beach located in the coastal town of Mossel Bay, South Africa.
  • E. Santo António Beach
    Santo António Beach is a popular sandy seaside destination on Portugal’s Algarve coast, near the town of Vila Real de Santo António and close to the Spanish border.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e349d0088190be108aa266d3af82 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:50 p.m.