Triple

T22955424
Position Surface form Disambiguated ID Type / Status
Subject Lancia Appia E570741 entity
Predicate coachbuilder P68307 FINISHED
Object Zagato 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: Zagato | Statement: [Lancia Appia, coachbuilder, Zagato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zagato
Context triple: [Lancia Appia, coachbuilder, Zagato]
  • A. Zagato chosen
    Zagato is an Italian automotive design and coachbuilding firm renowned for its lightweight, aerodynamically styled sports and racing cars.
  • B. Bertone
    Bertone is an Italian surname most notably associated with Tarcisio Bertone, a prominent cardinal and former Vatican Secretary of State.
  • C. Bertone
    Bertone is an Italian automotive design and coachbuilding firm renowned for styling numerous iconic European cars.
  • D. 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.
  • E. Carrozzeria Vignale
    Carrozzeria Vignale was an Italian coachbuilding and design firm renowned for crafting elegant custom bodies for marques such as Ferrari, Maserati, and Fiat during the mid-20th century.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f09de48190b55913570c965412 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.