Triple

T1284473
Position Surface form Disambiguated ID Type / Status
Subject Fiat Ducato E27402 entity
Predicate platformSharedWith P8246 FINISHED
Object Citroën Relay E152613 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: Citroën Relay | Statement: [Fiat Ducato, platformSharedWith, Citroën Relay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citroën Relay
Context triple: [Fiat Ducato, platformSharedWith, Citroën Relay]
  • A. Citroën Jumper chosen
    The Citroën Jumper is a large light commercial van produced by Citroën, widely used in Europe for cargo and passenger transport.
  • B. Citroën Berlingo
    The Citroën Berlingo is a compact multi-purpose vehicle and panel van known for its practicality, spacious interior, and popularity as both a family car and light commercial vehicle.
  • 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 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. 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.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48bec548190b25d4a74b323cc1b completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6209a388190b9f018b63120b28c completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:50 p.m.