Triple

T16067395
Position Surface form Disambiguated ID Type / Status
Subject Aisin Corporation E389767 entity
Predicate majorCustomer P927 FINISHED
Object BMW 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: BMW | Statement: [Aisin Corporation, majorCustomer, BMW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW
Context triple: [Aisin Corporation, majorCustomer, BMW]
  • A. BMW chosen
    BMW is a German luxury automobile and motorcycle manufacturer renowned for its performance-oriented vehicles and engineering.
  • B. BMW G11
    The BMW G11 is the sixth-generation BMW 7 Series luxury sedan, featuring advanced technology, lightweight construction, and a range of powerful engines.
  • C. Audi
    "Audi" is a popular hip-hop track by American rapper Smokepurpp that helped boost his rise in the SoundCloud rap scene.
  • 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 Motoren Werke AG
    Bayerische Motoren Werke AG is a German multinational company best known for producing premium automobiles and motorcycles under the BMW, MINI, and Rolls-Royce brands.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183baf29481908e5c66879e125363 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe480d59c8190962ac596a872b5e0 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.