Triple

T16261959
Position Surface form Disambiguated ID Type / Status
Subject Wanderlei Silva E394775 entity
Predicate birthPlace P1 FINISHED
Object Curitiba, Paraná, Brazil E115698 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: Curitiba, Paraná, Brazil | Statement: [Wanderlei Silva, birthPlace, Curitiba, Paraná, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curitiba, Paraná, Brazil
Context triple: [Wanderlei Silva, birthPlace, Curitiba, Paraná, Brazil]
  • A. Curitiba chosen
    Curitiba is the capital and largest city of the Brazilian state of Paraná, known for its innovative urban planning, extensive public transportation system, and high quality of life.
  • B. Bento Gonçalves, Brazil
    Bento Gonçalves is a city in Brazil’s southern state of Rio Grande do Sul, known for its Italian heritage and as a major center of the country’s wine production.
  • C. Paraná city
    Paraná city is the capital of Argentina’s Entre Ríos Province, located on the eastern bank of the Paraná River opposite Santa Fe.
  • D. Itaquera, São Paulo
    Itaquera, São Paulo is an eastern district of São Paulo best known for hosting Corinthians’ modern football stadium, a key venue from the 2014 FIFA World Cup.
  • E. Barueri, São Paulo, Brazil
    Barueri is a rapidly growing municipality in the São Paulo metropolitan area known for its major business district Alphaville and as a hub for corporate headquarters in Brazil.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c4a0b08190af3574f087205afc completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b3b48c8190ad0043d730b1da35 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.