Triple

T1879699
Position Surface form Disambiguated ID Type / Status
Subject Ipanema Beach E39823 entity
Predicate hasZone P6793 FINISHED
Object Posto 8 E209293 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: Posto 8 | Statement: [Ipanema Beach, hasZone, Posto 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posto 8
Context triple: [Ipanema Beach, hasZone, Posto 8]
  • A. Posto 8 chosen
    Posto 8 is a popular lifeguard-station beach area in Ipanema, Rio de Janeiro, known for its lively atmosphere and diverse crowds.
  • B. Posto 9
    Posto 9 is a famous and trendy stretch of Ipanema Beach in Rio de Janeiro, known for its lively social scene and iconic views.
  • C. Ponto de Parada
    Ponto de Parada is a neighborhood in the city of Recife, Brazil, known primarily as a residential area within the metropolitan region.
  • D. Ossuccio
    Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
  • E. The Eight
    The Eight was a group of early 20th-century American painters who rebelled against academic art standards and helped pave the way for the Ashcan School and modern American art.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fa3d388190993073ffb0f60a84 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ca2bd48190b055dd2e657c4dd9 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:34 p.m.