Triple

T18379862
Position Surface form Disambiguated ID Type / Status
Subject Renault Scénic E446413 entity
Predicate designerBrand P184 FINISHED
Object Renault Design E100742 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: Renault Design | Statement: [Renault Scénic, designerBrand, Renault Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault Design
Context triple: [Renault Scénic, designerBrand, Renault Design]
  • A. Nissan Design Europe
    Nissan Design Europe is Nissan's London-based European design studio known for creating influential models such as the Nissan Qashqai.
  • B. Renault chosen
    Renault is a major French automobile manufacturer known for producing a wide range of passenger cars, commercial vehicles, and electric vehicles sold worldwide.
  • C. Italdesign
    Italdesign is an Italian automotive design and engineering firm renowned for creating iconic car designs for major manufacturers worldwide.
  • D. Mercedes-Benz Design
    Mercedes-Benz Design is the in-house styling and design division of Mercedes-Benz responsible for shaping the brand’s vehicle aesthetics and overall design language.
  • E. Laurent Cars
    Laurent Cars was an 18th-century French engraver and illustrator known for his detailed prints after works by prominent Rococo painters.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51799e0f4819089e8af04888549bf completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d780a3bc8190a2ae02e8190dfb68 completed May 13, 2026, 1:44 a.m.
Created at: April 10, 2026, 10:45 a.m.