Triple

T5832649
Position Surface form Disambiguated ID Type / Status
Subject Peugeot Boxer E129387 entity
Predicate alternativeName P39 FINISHED
Object Peugeot Boxer Van E129387 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: Peugeot Boxer Van | Statement: [Peugeot Boxer, alternativeName, Peugeot Boxer Van]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peugeot Boxer Van
Context triple: [Peugeot Boxer, alternativeName, Peugeot Boxer Van]
  • A. Peugeot Boxer chosen
    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.
  • B. Citroën Jumper
    The Citroën Jumper is a large light commercial van produced by Citroën, widely used in Europe for cargo and passenger transport.
  • C. 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.
  • D. Peugeot Expert
    The Peugeot Expert is a light commercial van produced by the French automaker Peugeot, commonly used for cargo and passenger transport in European markets.
  • 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 (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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346c331c8190bac050d425961485 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfc62a5c81909fa28f08a49dc919 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:54 p.m.