Triple

T17253278
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen up! E418811 entity
Predicate assemblyLocation P40 FINISHED
Object Taubaté, Brazil E322525 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: Taubaté, Brazil | Statement: [Volkswagen up!, assemblyLocation, Taubaté, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taubaté, Brazil
Context triple: [Volkswagen up!, assemblyLocation, Taubaté, Brazil]
  • A. 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.
  • B. São Caetano do Sul, Brazil
    São Caetano do Sul is a highly industrialized and affluent city in the São Paulo metropolitan area of Brazil, known for its strong automotive manufacturing sector.
  • C. Taubaté chosen
    Taubaté is a historic industrial and educational city in southeastern Brazil, located in the Paraíba Valley between São Paulo and Rio de Janeiro.
  • D. 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.
  • E. Nova Lima, Brazil
    Nova Lima is a city in the state of Minas Gerais, Brazil, known for its mining heritage, affluent residential areas, and proximity to the state capital Belo Horizonte.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6a1b648190a8bb2deb67bbdfdc completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170fb89248190ae431ce51dfeaffd completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.