Triple

T22276259
Position Surface form Disambiguated ID Type / Status
Subject Audi Museum Mobile E550614 entity
Predicate ownedBy P347 FINISHED
Object Audi AG NE NERFINISHED

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: Audi AG | Statement: [Audi Museum Mobile, ownedBy, Audi AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Audi AG
Context triple: [Audi Museum Mobile, ownedBy, Audi AG]
  • A. Audi
    "Audi" is a popular hip-hop track by American rapper Smokepurpp that helped boost his rise in the SoundCloud rap scene.
  • B. Audi chosen
    Audi is a German luxury automobile manufacturer known for its premium vehicles, advanced engineering, and signature quattro all-wheel-drive technology.
  • C. 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.
  • D. 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.
  • E. Daimler AG
    Daimler AG was a major German multinational automotive corporation best known as the longtime manufacturer and corporate parent behind the Mercedes-Benz brand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.