Triple

T1877018
Position Surface form Disambiguated ID Type / Status
Subject Ipanema E39167 entity
Predicate hasPart P35 FINISHED
Object Ipanema Beach E39823 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: Ipanema Beach | Statement: [Ipanema, hasPart, Ipanema Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ipanema Beach
Context triple: [Ipanema, hasPart, Ipanema Beach]
  • A. Ipanema Beach chosen
    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.
  • B. Copacabana Beach
    Copacabana Beach is a famous crescent-shaped urban beach in Rio de Janeiro, Brazil, renowned for its lively promenade, white sands, and vibrant cultural and nightlife scene.
  • C. Copacabana
    Copacabana is a Bolivian town on the shores of Lake Titicaca, known as a religious pilgrimage site and a gateway for exploring the lake’s islands.
  • D. Ponta Negra Beach
    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.
  • E. 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.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0da543481908ab25806e6b80375 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0abe93f88190869b17557098ebbe completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:34 p.m.