Triple

T1780634
Position Surface form Disambiguated ID Type / Status
Subject Bugatti Rimac E39281 entity
Predicate CEO P537 FINISHED
Object Mate Rimac E199896 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: Mate Rimac | Statement: [Bugatti Rimac, CEO, Mate Rimac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mate Rimac
Context triple: [Bugatti Rimac, CEO, Mate Rimac]
  • A. Mate Rimac chosen
    Mate Rimac is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Group and head of the Bugatti Rimac joint venture.
  • B. Rimac
    Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
  • C. Bugatti Rimac
    Bugatti Rimac is a high-performance automotive joint venture combining Bugatti’s heritage of luxury hypercars with Rimac’s cutting-edge electric powertrain technology.
  • D. Kay Fisker
    Kay Fisker was a prominent Danish architect known for his influential role in early 20th-century Nordic Classicism and for designing functional yet elegantly proportioned residential buildings.
  • E. Jon DeVaan
    Jon DeVaan is a longtime Microsoft engineering leader known for his key roles in developing and managing core Windows and Office technologies.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5cbefec8190940cf2a4f692394e completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.