Triple

T22430675
Position Surface form Disambiguated ID Type / Status
Subject Nippon Sharyo E554488 entity
Predicate hasManufacturingFacility P25392 FINISHED
Object Sao Paulo plant NE NERFINISHED

How this triple was built (3 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: Sao Paulo plant | Statement: [Nippon Sharyo, hasManufacturingFacility, Sao Paulo plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sao Paulo plant
Context triple: [Nippon Sharyo, hasManufacturingFacility, Sao Paulo plant]
  • A. Fiat plant, Sete Lagoas, Brazil
    The Fiat plant in Sete Lagoas, Brazil is a major automotive manufacturing facility operated by Fiat, known for producing commercial vehicles such as the Fiat Ducato for the Latin American market.
  • B. Betim plant, Minas Gerais, Brazil
    The Betim plant in Minas Gerais, Brazil, is a major Fiat automotive manufacturing complex and one of the company’s most important production hubs in Latin America.
  • C. Hortolândia
    Hortolândia is a rapidly growing municipality in southeastern Brazil, located in the metropolitan region of Campinas in the state of São Paulo and known for its industrial and technological development.
  • D. Taubaté industrial district
    Taubaté industrial district is a major manufacturing hub in the city of Taubaté, Brazil, hosting numerous factories and industrial facilities that drive the region’s economic activity.
  • E. Distrito Industrial de Campinas
    Distrito Industrial de Campinas is a major industrial zone in the city of Campinas, São Paulo, Brazil, hosting a concentration of manufacturing and logistics companies that drive the region’s economic activity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sao Paulo plant
Target entity description: The Sao Paulo plant is a manufacturing facility operated by Nippon Sharyo in Brazil, focused on producing railcars and related rolling stock for regional markets.
  • A. Fiat plant, Sete Lagoas, Brazil
    The Fiat plant in Sete Lagoas, Brazil is a major automotive manufacturing facility operated by Fiat, known for producing commercial vehicles such as the Fiat Ducato for the Latin American market.
  • B. Betim plant, Minas Gerais, Brazil
    The Betim plant in Minas Gerais, Brazil, is a major Fiat automotive manufacturing complex and one of the company’s most important production hubs in Latin America.
  • C. Hortolândia
    Hortolândia is a rapidly growing municipality in southeastern Brazil, located in the metropolitan region of Campinas in the state of São Paulo and known for its industrial and technological development.
  • D. Taubaté industrial district
    Taubaté industrial district is a major manufacturing hub in the city of Taubaté, Brazil, hosting numerous factories and industrial facilities that drive the region’s economic activity.
  • E. Distrito Industrial de Campinas
    Distrito Industrial de Campinas is a major industrial zone in the city of Campinas, São Paulo, Brazil, hosting a concentration of manufacturing and logistics companies that drive the region’s economic activity.
  • F. None of above. chosen

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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a311b148190bdb752f3f067bb3f completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.