Triple

T13476923
Position Surface form Disambiguated ID Type / Status
Subject World Drivers' Championship E318273 entity
Predicate firstChampion P6585 FINISHED
Object Giuseppe Farina E1033338 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: Giuseppe Farina | Statement: [World Drivers' Championship, firstChampion, Giuseppe Farina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppe Farina
Context triple: [World Drivers' Championship, firstChampion, Giuseppe Farina]
  • A. Giuseppe Farina chosen
    Giuseppe Farina was an Italian racing driver best known as the first-ever Formula One World Drivers' Champion.
  • B. Tazio Nuvolari
    Tazio Nuvolari was a legendary Italian racing driver of the interwar era, renowned for his daring skill and victories in Grand Prix and sports car racing.
  • C. Achille Varzi
    Achille Varzi was a prominent Italian Grand Prix racing driver of the pre-World War II era, known for competing with top teams and rivaling legends like Tazio Nuvolari.
  • D. Juan Manuel Fangio
    Juan Manuel Fangio was an Argentine racing driver widely regarded as one of the greatest Formula One champions in history, winning five World Drivers' Championships in the 1950s.
  • E. Umberto Martini
    Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942424bc8190af98462f6b7a93a4 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:42 p.m.