Triple

T12359100
Position Surface form Disambiguated ID Type / Status
Subject Luz district E294686 entity
Predicate contains P35 FINISHED
Object Jardim da Luz E980123 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: Jardim da Luz | Statement: [Luz district, contains, Jardim da Luz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jardim da Luz
Context triple: [Luz district, contains, Jardim da Luz]
  • A. Jardim da Luz chosen
    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.
  • B. 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.
  • C. Jardim Garcia de Orta
    Jardim Garcia de Orta is a themed riverside garden in Lisbon inspired by Portugal’s former overseas territories, featuring exotic plants, water features, and scenic views within the Parque das Nações district.
  • D. Jardim Silveira
    Jardim Silveira is a neighborhood within the municipality of Barueri in the São Paulo metropolitan region of Brazil.
  • E. Jardim São Paulo
    Jardim São Paulo is a residential neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f90201481909359416b8b9f7871 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef437d08190b09132fa090504a5 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.