Triple

T21883067
Position Surface form Disambiguated ID Type / Status
Subject Dutch Grand Prix E540336 entity
Predicate associatedWithDriver P103677 FINISHED
Object Max Verstappen NE NERFINISHED

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: Max Verstappen | Statement: [Dutch Grand Prix, associatedWithDriver, Max Verstappen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Verstappen
Context triple: [Dutch Grand Prix, associatedWithDriver, Max Verstappen]
  • A. Max Verstappen chosen
    Max Verstappen is a Dutch Formula 1 driver for Red Bull Racing, known for his aggressive driving style and multiple World Drivers’ Championship titles.
  • B. Jos Verstappen
    Jos Verstappen is a former Dutch Formula 1 driver who competed in the 1990s and early 2000s and later became known for guiding the career of his son, Max Verstappen.
  • C. Carlos Sainz
    Carlos Sainz is a legendary Spanish rally driver and two-time World Rally Champion renowned for his success with multiple manufacturers and his longevity in top-level motorsport.
  • D. Ricciardo
    Ricciardo is an Italian given name, historically borne by figures such as Ricciardo Cervini.
  • E. Lando Norris
    Lando Norris is a British Formula 1 driver for McLaren known for his speed, consistency, and charismatic presence on and off the track.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e9d3508190aadcfcdac0376387 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.