Triple

T6147190
Position Surface form Disambiguated ID Type / Status
Subject Ilha Joana Bezerra E137107 entity
Predicate connectedTo P37 FINISHED
Object Ilha do Retiro E137927 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: Ilha do Retiro | Statement: [Ilha Joana Bezerra, connectedTo, Ilha do Retiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilha do Retiro
Context triple: [Ilha Joana Bezerra, connectedTo, Ilha do Retiro]
  • A. Ilha do Retiro chosen
    Ilha do Retiro is a football stadium in Recife, Brazil, best known as the home ground of Sport Club do Recife.
  • B. Largo da Lapa
    Largo da Lapa is a well-known public square in Rio de Janeiro’s historic Lapa neighborhood, recognized for its vibrant nightlife, cultural events, and traditional bars.
  • C. Arcos da Lapa
    Arcos da Lapa is a historic 18th-century aqueduct and iconic architectural landmark located in the Lapa neighborhood of Rio de Janeiro, Brazil.
  • D. Jardim da Estrela
    Jardim da Estrela is a large, picturesque 19th-century public garden in Lisbon known for its landscaped lawns, lakes, and ornate bandstand opposite the Basílica da Estrela.
  • E. 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.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdeeaa88190948d9db6eb2dbf46 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13603730881909b3991c7262509b5 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:16 p.m.