Triple

T514231
Position Surface form Disambiguated ID Type / Status
Subject BMW E10671 entity
Predicate fullName P16 FINISHED
Object Bayerische Motoren Werke AG E10671 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: Bayerische Motoren Werke AG | Statement: [BMW, fullName, Bayerische Motoren Werke AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayerische Motoren Werke AG
Context triple: [BMW, fullName, Bayerische Motoren Werke AG]
  • A. Volkswagen Group
    Volkswagen Group is a major German multinational automotive manufacturer that owns brands such as Volkswagen, Audi, Porsche, and Škoda and is one of the largest car producers in the world.
  • B. Mercedes-Benz
    Mercedes-Benz is a German luxury automobile manufacturer renowned for its premium cars, engineering innovation, and iconic three-pointed star logo.
  • C. BMW chosen
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • D. Audi
    Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
  • E. Bayerische Flugzeugwerke
    Bayerische Flugzeugwerke was a German aircraft manufacturer that became known as the predecessor to Messerschmitt AG, producing several notable military aircraft in the interwar and World War II periods.
  • 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_69a4a14f9cc88190ada7a80d5f8ec6fc completed March 1, 2026, 8:27 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.