Triple

T7731255
Position Surface form Disambiguated ID Type / Status
Subject Franz von Holzhausen E175260 entity
Predicate designed P184 FINISHED
Object Tesla Model 3 E8414 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: Tesla Model 3 | Statement: [Franz von Holzhausen, designed, Tesla Model 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tesla Model 3
Context triple: [Franz von Holzhausen, designed, Tesla Model 3]
  • A. Tesla Model 3 chosen
    The Tesla Model 3 is a mass-market electric sedan known for its long range, high performance, and role in popularizing electric vehicles worldwide.
  • B. Tesla Model S
    The Tesla Model S is a luxury all-electric sedan known for its long range, high performance, and role in popularizing mainstream electric vehicles.
  • C. Tesla Model Y
    The Tesla Model Y is a compact all-electric crossover SUV known for its long range, advanced driver-assistance features, and minimalist high-tech interior.
  • D. BYD Atto 3
    The BYD Atto 3 is a compact electric SUV from Chinese automaker BYD, known for its competitive range, affordability, and use of BYD’s Blade Battery technology.
  • E. Volkswagen ID.3
    The Volkswagen ID.3 is a compact all-electric hatchback from Volkswagen’s ID family, designed as a mass-market EV successor to the Golf in Europe.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70336aafc819099a060950ab8922f completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52e176481908595fea4ace7a607 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.