Triple

T23355630
Position Surface form Disambiguated ID Type / Status
Subject West Zone of Recife E593038 entity
Predicate containsNeighborhood P4813 FINISHED
Object Jardim São Paulo 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 São Paulo | Statement: [West Zone of Recife, containsNeighborhood, Jardim São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jardim São Paulo
Context triple: [West Zone of Recife, containsNeighborhood, Jardim São Paulo]
  • A. Jardim São Paulo chosen
    Jardim São Paulo is a residential neighborhood located in the city of Recife, in Brazil’s northeastern state of Pernambuco.
  • B. Jardim Silveira
    Jardim Silveira is a neighborhood within the municipality of Barueri in the São Paulo metropolitan region of Brazil.
  • C. Jardim Santa Cecília
    Jardim Santa Cecília is a neighborhood located within the municipality of Barueri in the state of São Paulo, Brazil.
  • D. Jardim Itaquiti
    Jardim Itaquiti is a neighborhood located within the municipality of Barueri in the state of São Paulo, Brazil.
  • E. Jardim São Pedro
    Jardim São Pedro is a neighborhood located within the municipality of Barueri in the state of São Paulo, Brazil.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a176b548190bf5a08bb2585344d completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:26 p.m.