Triple

T2978116
Position Surface form Disambiguated ID Type / Status
Subject Silver Arrows E80446 entity
Predicate refersTo P37 FINISHED
Object Auto Union Grand Prix cars E80446 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: Auto Union Grand Prix cars | Statement: [Silver Arrows, refersTo, Auto Union Grand Prix cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auto Union Grand Prix cars
Context triple: [Silver Arrows, refersTo, Auto Union Grand Prix cars]
  • A. Silver Arrows chosen
    Silver Arrows refers to the iconic silver-painted Grand Prix and racing cars fielded primarily by Mercedes-Benz (and Auto Union) that dominated European motor racing in the 1930s and later eras.
  • B. Dallara
    Dallara is an Italian race car manufacturer renowned for designing and building chassis for top-level motorsport series worldwide, including IndyCar.
  • C. Gazoo Racing
    Gazoo Racing is Toyota’s global motorsport and high-performance division, responsible for its racing activities and sporty road car models.
  • D. Spyker Cars
    Spyker Cars is a Dutch boutique sports car manufacturer known for its hand-built, aviation-inspired luxury performance vehicles.
  • E. 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.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999b0d50819093dac7678b887a9b completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.