Triple

T3102724
Position Surface form Disambiguated ID Type / Status
Subject BMW 3 Series E64756 entity
Predicate generation P4860 FINISHED
Object E46 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: E46 | Statement: [BMW 3 Series, generation, E46]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E46
Context triple: [BMW 3 Series, generation, E46]
  • A. 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.
  • B. BMW Z4
    The BMW Z4 is a compact luxury two-seat roadster known for its sporty performance, rear-wheel-drive dynamics, and distinctive styling.
  • C. BMW 5 Series
    The BMW 5 Series is a line of executive mid-size luxury cars known for combining performance, comfort, and advanced technology.
  • D. 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.
  • E. E65
    E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26df128819086541db7680c8c24 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c4e59c819084a3aa19824c1621 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:03 p.m.