Triple

T23013158
Position Surface form Disambiguated ID Type / Status
Subject Formula 3 teams E572960 entity
Predicate usesChassisFrom P66199 FINISHED
Object Dallara 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: Dallara | Statement: [Formula 3 teams, usesChassisFrom, Dallara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallara
Context triple: [Formula 3 teams, usesChassisFrom, Dallara]
  • A. Dallara chosen
    Dallara is an Italian race car manufacturer renowned for designing and building chassis for top-level motorsport series worldwide, including IndyCar.
  • B. Lancia Corse
    Lancia Corse was the official racing division of Lancia responsible for developing and running the brand’s competition cars in international motorsport.
  • C. Alfa Corse
    Alfa Corse was the official factory racing team of Alfa Romeo, competing in touring car and other motorsport championships.
  • D. Haas
    Haas is a German-origin surname borne by numerous individuals worldwide, including several notable figures in fields such as sports, science, and the arts.
  • E. Panoz LMP07
    The Panoz LMP07 is a late-1990s American Le Mans Prototype race car designed for top-level endurance racing, known for its advanced aerodynamics and brief, troubled competition history.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e300008190bb12c6388a8b3280 completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.