Triple

T2000034
Position Surface form Disambiguated ID Type / Status
Subject BBC Sport E43446 entity
Predicate coversSport P887 FINISHED
Object Formula 1 E80445 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: Formula 1 | Statement: [BBC Sport, coversSport, Formula 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formula 1
Context triple: [BBC Sport, coversSport, Formula 1]
  • A. Formula 1
    Formula 1 is a renowned line of sports watches by TAG Heuer inspired by the speed, precision, and aesthetics of top-tier motor racing.
  • B. Formula One chosen
    Formula One is the highest class of international single-seater auto racing, featuring technologically advanced open-wheel cars competing in a global championship series.
  • C. Grand Prix
    The Grand Prix is one of the most prestigious awards at the Cannes Film Festival, typically regarded as the festival’s second-highest honor after the Palme d’Or.
  • D. IndyCar
    IndyCar is a premier American open-wheel racing series known for high-speed competition on ovals, road courses, and street circuits, including the iconic Indianapolis 500.
  • E. Formula 2 Championship
    The Formula 2 Championship is an international single-seater racing series that serves as the primary feeder category to Formula 1, showcasing emerging driving talent on many of the same circuits.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87f78f0819098e787a5f3e062fd completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae034122ec819096a72685b34c84b9 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.