Triple

T18379950
Position Surface form Disambiguated ID Type / Status
Subject Renault Kangoo E446415 entity
Predicate variant P4680 FINISHED
Object Renault Kangoo Express 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: Renault Kangoo Express | Statement: [Renault Kangoo, variant, Renault Kangoo Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renault Kangoo Express
Context triple: [Renault Kangoo, variant, Renault Kangoo Express]
  • A. Renault Kangoo chosen
    The Renault Kangoo is a compact multi-purpose vehicle and light commercial van known for its practicality, sliding side doors, and popularity as both a family car and small business workhorse.
  • B. Renault Master
    The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
  • C. Citroën Jumper
    The Citroën Jumper is a large light commercial van produced by Citroën, widely used in Europe for cargo and passenger transport.
  • D. Peugeot Boxer
    The Peugeot Boxer is a large light commercial van produced by the French automaker Peugeot, widely used for cargo transport, passenger shuttles, and camper conversions.
  • E. Renault Trafic
    The Renault Trafic is a light commercial van produced by French automaker Renault, widely used in Europe for cargo and passenger transport.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179aa328819097f5ed8193cfa401 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.