Triple

T22276279
Position Surface form Disambiguated ID Type / Status
Subject Audi Museum Mobile E550614 entity
Predicate brandCovered P147660 FINISHED
Object DKW 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: DKW | Statement: [Audi Museum Mobile, brandCovered, DKW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DKW
Context triple: [Audi Museum Mobile, brandCovered, DKW]
  • A. DKW automobiles chosen
    DKW automobiles were a historic German car and motorcycle brand, later part of Auto Union (a predecessor of Audi), known for their small two-stroke vehicles in the early to mid-20th century.
  • B. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • C. KdF
    KdF was a Nazi-era state leisure and tourism organization in Germany designed to provide subsidized vacations and cultural activities while promoting regime propaganda and social control.
  • D. Toyota Kluger
    The Toyota Kluger is a mid-size crossover SUV produced by Toyota, marketed in various regions as a comfortable, family-oriented vehicle with three-row seating.
  • E. Škoda
    Škoda is a Czech automobile manufacturer known for producing practical, affordable cars and operating as a subsidiary brand within the Volkswagen Group.
  • 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.