Triple

T13069680
Position Surface form Disambiguated ID Type / Status
Subject BMW F32 E329423 entity
Predicate modelSeries P39689 FINISHED
Object BMW 4 Series E65565 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 4 Series | Statement: [BMW F32, modelSeries, BMW 4 Series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW 4 Series
Context triple: [BMW F32, modelSeries, BMW 4 Series]
  • A. BMW 4 Series chosen
    The BMW 4 Series is a line of compact executive coupés and convertibles known for its sporty performance, premium features, and distinctive styling within BMW’s lineup.
  • B. BMW 2 Series Gran Coupe
    The BMW 2 Series Gran Coupe is a compact luxury four-door coupe that combines sporty performance with upscale features and styling in BMW’s entry-level lineup.
  • C. BMW Z4
    The BMW Z4 is a compact luxury two-seat roadster known for its sporty performance, rear-wheel-drive dynamics, and distinctive styling.
  • D. BMW 3 Series
    The BMW 3 Series is a line of compact executive cars renowned for its sporty handling, premium build quality, and status as one of BMW’s most popular and influential models.
  • E. BMW 5 Series
    The BMW 5 Series is a line of executive mid-size luxury cars known for combining performance, comfort, and advanced technology.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60510dc81909e0cba8b63a50d9c completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.