Triple

T2633894
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Grand Prix E59697 entity
Predicate hostedBy P613 FINISHED
Object City of São Paulo E9033 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: City of São Paulo | Statement: [Brazilian Grand Prix, hostedBy, City of São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of São Paulo
Context triple: [Brazilian Grand Prix, hostedBy, City of São Paulo]
  • A. São Paulo chosen
    São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
  • B. São Paulo metropolitan area
    The São Paulo metropolitan area is Brazil’s largest and most populous urban agglomeration, encompassing the city of São Paulo and numerous surrounding municipalities that form a major economic and cultural hub in Latin America.
  • C. 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.
  • D. Belo Horizonte
    Belo Horizonte is the capital and largest city of the Brazilian state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and economic life.
  • E. Osasco
    Osasco is a major industrial and commercial city in the metropolitan region of São Paulo, 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3737db06481908b854eff532fce18 completed March 13, 2026, 2:16 a.m.
Created at: March 6, 2026, 9:50 p.m.