Triple

T3007328
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz S-Class E81933 entity
Predicate competitor P1375 FINISHED
Object BMW 7 Series E66610 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 7 Series | Statement: [Mercedes-Benz S-Class, competitor, BMW 7 Series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW 7 Series
Context triple: [Mercedes-Benz S-Class, competitor, BMW 7 Series]
  • A. BMW 7 Series chosen
    The BMW 7 Series is BMW’s flagship full-size luxury sedan line, known for its advanced technology, comfort, and performance.
  • 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 X7
    The BMW X7 is a full-size luxury SUV that serves as BMW’s flagship utility vehicle, offering three-row seating, premium features, and powerful performance.
  • D. 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.
  • E. 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.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4a12508190a48ae1c86233d25e completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea3a31481908db6871cf6c37781 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.