Triple

T22305729
Position Surface form Disambiguated ID Type / Status
Subject Gustav Wagner E551368 entity
Predicate placeOfDeath P21 FINISHED
Object Atibaia, Brazil 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: Atibaia, Brazil | Statement: [Gustav Wagner, placeOfDeath, Atibaia, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atibaia, Brazil
Context triple: [Gustav Wagner, placeOfDeath, Atibaia, Brazil]
  • A. Atibaia chosen
    Atibaia is a municipality in southeastern Brazil known for its mild climate, flower and strawberry production, and proximity to São Paulo city.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Itajubá, Brazil
    Itajubá, Brazil is a city in the state of Minas Gerais known for its industrial base, particularly in aerospace and defense manufacturing, and for hosting a major Airbus Helicopters production facility.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157276d3c8190a55c93760a986cdc completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.