Triple

T1980621
Position Surface form Disambiguated ID Type / Status
Subject BMW X7 E43016 entity
Predicate relatedModel P37 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: [BMW X7, relatedModel, BMW 7 Series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW 7 Series
Context triple: [BMW X7, relatedModel, 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032bc30c8190a136a634580571d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:37 p.m.