Triple

T4734347
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 308 E105086 entity
Predicate competitor P1375 FINISHED
Object Renault Mégane E447886 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 Mégane | Statement: [Peugeot 308, competitor, Renault Mégane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault Mégane
Context triple: [Peugeot 308, competitor, Renault Mégane]
  • A. Renault Mégane chosen
    The Renault Mégane is a popular compact family car produced by French automaker Renault, known for its practical design, comfort, and range of body styles and powertrains.
  • B. Renault Clio
    The Renault Clio is a popular supermini car produced by French manufacturer Renault, known for its practicality, efficiency, and strong sales across Europe.
  • C. Renault Scenic
    The Renault Scenic is a compact multi-purpose vehicle (MPV) produced by the French automaker Renault, known for pioneering the modern compact minivan segment in Europe.
  • D. Citroën C3
    The Citroën C3 is a supermini car produced by the French manufacturer Citroën, known for its distinctive styling and practical, city-friendly design.
  • E. Renault Twingo
    The Renault Twingo is a popular city car introduced in the early 1990s, known for its compact size, distinctive styling, and practical urban-focused design.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6467a1fc819089485b4d76e0edc4 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a0fc0b88190a1eb07f6fb021b86 completed March 21, 2026, 6:26 a.m.
Created at: March 20, 2026, 1:19 p.m.