Triple

T10018939
Position Surface form Disambiguated ID Type / Status
Subject Lamborghini Countach E199565 entity
Predicate designCompany P25389 FINISHED
Object Bertone E398808 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: Bertone | Statement: [Lamborghini Countach, designCompany, Bertone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bertone
Context triple: [Lamborghini Countach, designCompany, Bertone]
  • A. Bertone chosen
    Bertone is an Italian automotive design and coachbuilding firm renowned for styling numerous iconic European cars.
  • B. Zagato
    Zagato is an Italian automotive design and coachbuilding firm renowned for its lightweight, aerodynamically styled sports and racing cars.
  • C. Carrozzeria Ghia
    Carrozzeria Ghia is an Italian automotive design and coachbuilding firm renowned for its stylish mid-20th-century car designs for various major manufacturers.
  • D. Italdesign
    Italdesign is an Italian automotive design and engineering firm renowned for creating iconic car designs for major manufacturers worldwide.
  • E. Pininfarina
    Pininfarina is an Italian design and engineering firm renowned for creating iconic car designs for brands such as Ferrari, Maserati, and Alfa Romeo.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2821b22488190913d743bc40a4c8e completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:53 p.m.