Triple

T15550264
Position Surface form Disambiguated ID Type / Status
Subject Macmasters Beach E370723 entity
Predicate adjacentTo P224 FINISHED
Object Copacabana E343181 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: Copacabana | Statement: [Macmasters Beach, adjacentTo, Copacabana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copacabana
Context triple: [Macmasters Beach, adjacentTo, Copacabana]
  • A. 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.
  • B. Copacabana chosen
    Copacabana is a coastal suburb on the Central Coast of New South Wales, Australia, known for its sandy beach and relaxed seaside atmosphere.
  • C. Copacabana
    Copacabana is a municipality in the Antioquia Department of Colombia, located just north of Medellín in the Aburrá Valley.
  • D. 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.
  • E. 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.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455dfbcc8190a93e90c59b2d3045 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.