Triple

T13878766
Position Surface form Disambiguated ID Type / Status
Subject Kincumber E333651 entity
Predicate locatedNear P294 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: [Kincumber, locatedNear, Copacabana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copacabana
Context triple: [Kincumber, locatedNear, 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be71d388190909290cad2c6daf5 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7100b308190bdd5feaa116ee5fe completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.