Triple

T9213464
Position Surface form Disambiguated ID Type / Status
Subject Posto 10 E221182 entity
Predicate partOf P40 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: [Posto 10, partOf, Ipanema Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ipanema Beach
Context triple: [Posto 10, partOf, 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. Barra da Tijuca Beach
    Barra da Tijuca Beach is a long, popular oceanfront beach in Rio de Janeiro known for its wide sands, strong waves, and vibrant surf and kitesurf culture.
  • C. 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.
  • D. Cumbuco Beach
    Cumbuco Beach is a popular coastal destination in northeastern Brazil known for its sand dunes, strong winds, and water sports like kitesurfing and windsurfing.
  • E. Jatiúca Beach
    Jatiúca Beach is a popular urban beach in Maceió, Brazil, known for its palm-lined shoreline, lively waterfront, and strong waves that attract surfers.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c70fa90881909ba9e797ef24768b completed April 4, 2026, 8:08 a.m.
Created at: March 30, 2026, 7:27 p.m.