Triple

T4549449
Position Surface form Disambiguated ID Type / Status
Subject Alfa Romeo Giulia E110125 entity
Predicate competitor P1375 FINISHED
Object BMW 3 Series E64756 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 3 Series | Statement: [Alfa Romeo Giulia, competitor, BMW 3 Series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW 3 Series
Context triple: [Alfa Romeo Giulia, competitor, BMW 3 Series]
  • A. BMW 3 Series chosen
    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.
  • B. BMW 5 Series
    The BMW 5 Series is a line of executive mid-size luxury cars known for combining performance, comfort, and advanced technology.
  • C. BMW 4 Series
    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.
  • D. BMW 1 Series
    The BMW 1 Series is a compact premium car line from BMW, known for its sporty driving dynamics and position as an entry-level model in the brand’s lineup.
  • E. BMW 7 Series
    The BMW 7 Series is BMW’s flagship full-size luxury sedan line, known for its advanced technology, comfort, and performance.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f3f8348190868e274ac4df87ce completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb94cab408190956ef333aa810a3b completed March 20, 2026, 9:17 p.m.
Created at: March 20, 2026, 1:05 p.m.