Triple

T17930742
Position Surface form Disambiguated ID Type / Status
Subject GM Ecotec LNF E448323 entity
Predicate turbochargerSupplier P89014 FINISHED
Object BorgWarner NE NERFINISHED

How this triple was built (4 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: BorgWarner | Statement: [GM Ecotec LNF, turbochargerSupplier, BorgWarner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BorgWarner
Context triple: [GM Ecotec LNF, turbochargerSupplier, BorgWarner]
  • A. Tenneco
    Tenneco is a global automotive parts manufacturer known for producing ride performance, clean air, and powertrain components for vehicle manufacturers and the aftermarket.
  • B. Meritor
    Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
  • C. Denso Corporation
    Denso Corporation is a leading global automotive components manufacturer headquartered in Japan and a key supplier of advanced technologies and systems to major automakers worldwide.
  • D. Eaton
    Eaton is a small town located within Madison County in the state of New York, United States.
  • E. Eaton
    Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
  • 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: BorgWarner
Target entity description: BorgWarner is a global automotive industry supplier best known for designing and manufacturing advanced powertrain components such as turbochargers and drivetrain systems for major vehicle manufacturers.
  • A. Tenneco
    Tenneco is a global automotive parts manufacturer known for producing ride performance, clean air, and powertrain components for vehicle manufacturers and the aftermarket.
  • B. Meritor
    Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
  • C. Denso Corporation
    Denso Corporation is a leading global automotive components manufacturer headquartered in Japan and a key supplier of advanced technologies and systems to major automakers worldwide.
  • D. Eaton
    Eaton is a small town located within Madison County in the state of New York, United States.
  • E. Eaton
    Eaton is a surname most notably associated with American decathlete and Olympic gold medalist Ashton Eaton.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: turbochargerSupplier
Context triple: [GM Ecotec LNF, turbochargerSupplier, BorgWarner]
  • A. hasTurbineSupplier chosen
    Indicates that an entity has a specific supplier responsible for providing its turbine(s).
  • B. turbochargedVariant
    Indicates that one entity is a turbocharged version or configuration of another entity.
  • C. chassisSupplier
    Indicates that one entity serves as the supplier or provider of the chassis for another entity.
  • D. turbochargedEngineAvailable
    Indicates that a turbocharged engine option is offered or can be equipped for the given vehicle or model.
  • E. engineSupplier
    Indicates a relationship where one entity supplies or provides engines to another entity.
  • F. None of above.

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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a551e1788190abad0d6a85ec55e1 completed April 19, 2026, 9:50 a.m.
PD Predicate disambiguation batch_69e3f8e713d481908b4a126258c18b63 completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:20 a.m.