Triple

T514255
Position Surface form Disambiguated ID Type / Status
Subject BMW E10671 entity
Predicate productLine P3585 FINISHED
Object BMW 2 Series E43016 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 2 Series | Statement: [BMW, productLine, BMW 2 Series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW 2 Series
Context triple: [BMW, productLine, BMW 2 Series]
  • A. BMW 132
    The BMW 132 was a German nine-cylinder air-cooled radial aircraft engine widely used in Luftwaffe bombers and transport aircraft during the 1930s and World War II.
  • B. BMW X7 chosen
    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.
  • C. BMW
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • D. Lotus Elise
    The Lotus Elise is a lightweight, mid-engined British sports car renowned for its agile handling and minimalist, driver-focused design.
  • E. Mercury Milan
    The Mercury Milan is a mid-size sedan produced by Ford's Mercury division from 2006 to 2011, positioned as a more upscale counterpart to the Ford Fusion.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1824a248190808591ab3ece7dff completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a42a4a648190a1a01d823b698ae3 completed March 1, 2026, 8:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.