Triple

T16635628
Position Surface form Disambiguated ID Type / Status
Subject Motorpoint Stand E404191 entity
Predicate sponsor P67 FINISHED
Object Motorpoint E625055 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: Motorpoint | Statement: [Motorpoint Stand, sponsor, Motorpoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motorpoint
Context triple: [Motorpoint Stand, sponsor, Motorpoint]
  • A. Motorpoint chosen
    Motorpoint is a UK-based car supermarket group specializing in nearly new and used vehicles, operating large retail sites and an online sales platform.
  • B. Motorpoint Stand
    The Motorpoint Stand is a spectator stand at London Road Stadium, home of Peterborough United Football Club.
  • C. Cazoo
    Cazoo is a UK-based online car retailer known for its high-profile sports sponsorships and rapid growth in the digital automotive marketplace.
  • D. Copart
    Copart is a global online vehicle auction company specializing in the resale and remarketing of salvage and clean title cars, trucks, and other vehicles to buyers such as dealers, dismantlers, and the general public.
  • E. eBay
    eBay is a global e-commerce company best known for its online auction and consumer-to-consumer sales platform.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e999d48190bff680040dbc883d completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b984d081909f76ef874431ff40 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.