Triple

T15842554
Position Surface form Disambiguated ID Type / Status
Subject Jordan Grand Prix E384133 entity
Predicate base P2909 FINISHED
Object Silverstone E319322 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: Silverstone | Statement: [Jordan Grand Prix, base, Silverstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silverstone
Context triple: [Jordan Grand Prix, base, Silverstone]
  • A. Silverstone
    Silverstone is a surname most notably associated with American actress and animal rights activist Alicia Silverstone.
  • B. Silverstone Circuit chosen
    Silverstone Circuit is a world-famous British motor racing track best known as the long-time home of the Formula One British Grand Prix.
  • C. Enstone
    Enstone is a rural village in Oxfordshire, England, known for its historic buildings and picturesque Cotswold countryside setting.
  • D. Goodwood Circuit
    Goodwood Circuit is a historic British motor racing track near Chichester, renowned for classic car events like the Goodwood Revival and Members’ Meeting.
  • E. Brands Hatch
    Brands Hatch is a renowned motor racing circuit in Kent, England, known for hosting major international events in both car and motorcycle racing.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e88ff08190a1035269e8fdaa6a completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93ddce4819086174b2549f5e12b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.