Triple

T1971912
Position Surface form Disambiguated ID Type / Status
Subject Lapa E42819 entity
Predicate hasLandmark P105 FINISHED
Object Arcos da Lapa E213099 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: Arcos da Lapa | Statement: [Lapa, hasLandmark, Arcos da Lapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arcos da Lapa
Context triple: [Lapa, hasLandmark, Arcos da Lapa]
  • A. Arcos da Lapa chosen
    Arcos da Lapa is a historic 18th-century aqueduct and iconic architectural landmark located in the Lapa neighborhood of Rio de Janeiro, Brazil.
  • B. Ilha do Retiro
    Ilha do Retiro is a football stadium in Recife, Brazil, best known as the home ground of Sport Club do Recife.
  • C. Terreiro do Paço
    Terreiro do Paço is the historic riverfront square in Lisbon, Portugal, now commonly known as Praça do Comércio and famed as one of the city's largest and most important public plazas.
  • D. Barra da Tijuca
    Barra da Tijuca is a large, modern beachfront neighborhood in Rio de Janeiro, Brazil, known for its extensive beaches, high-rise developments, and role as a major hub during the 2016 Summer Olympics.
  • E. Gávea
    Gávea is an affluent residential neighborhood in Rio de Janeiro, Brazil, known for its leafy streets, proximity to the Tijuca Forest, and landmarks like the Jockey Club and the Pontifical Catholic University of Rio de Janeiro (PUC-Rio).
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f275408190affa93f8cb6a8184 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbdb5d7c8190ab3e7c368041c641 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.