Triple

T14818996
Position Surface form Disambiguated ID Type / Status
Subject Benoit Jacob E348393 entity
Predicate associatedWith P37 FINISHED
Object BMW i brand E1079367 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: BMW i brand | Statement: [Benoit Jacob, associatedWith, BMW i brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW i brand
Context triple: [Benoit Jacob, associatedWith, BMW i brand]
  • A. BMW
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • B. BMW i project chosen
    The BMW i project is BMW's initiative focused on developing sustainable, innovative electric and plug-in hybrid vehicles along with associated mobility services.
  • C. BMW iX
    The BMW iX is a fully electric luxury SUV that showcases BMW’s latest advancements in electric powertrains, connectivity, and driver-assistance technology.
  • D. BMW X Series
    The BMW X Series is a lineup of BMW’s luxury crossover and sport utility vehicles known for combining premium comfort with sporty performance and all-wheel-drive capability.
  • E. BMW i Ventures
    BMW i Ventures is the corporate venture capital arm of BMW Group that invests in innovative startups focused on mobility, AI, and related cutting-edge technologies.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:50 a.m.