Triple

T17373759
Position Surface form Disambiguated ID Type / Status
Subject Parish of Estrela E422380 entity
Predicate hasGreenSpace P1495 FINISHED
Object Jardim da Estrela NE NERFINISHED

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: Jardim da Estrela | Statement: [Parish of Estrela, hasGreenSpace, Jardim da Estrela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jardim da Estrela
Context triple: [Parish of Estrela, hasGreenSpace, Jardim da Estrela]
  • A. Jardim da Estrela chosen
    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.
  • B. Jardim da Luz
    Jardim da Luz is a historic public garden and urban park in São Paulo, Brazil, known for its landscaped grounds, sculptures, and cultural significance in the city center.
  • C. Jardim Santa Cecília
    Jardim Santa Cecília is a neighborhood located within the municipality of Barueri in the state of São Paulo, Brazil.
  • D. Ilha do Retiro
    Ilha do Retiro is a football stadium in Recife, Brazil, best known as the home ground of Sport Club do Recife.
  • E. Bairro Alto
    Bairro Alto is a historic, bohemian neighborhood in Lisbon known for its narrow streets, vibrant nightlife, and traditional bars and restaurants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6b71148190bb10e1fac400d6c3 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.