Triple

T20638703
Position Surface form Disambiguated ID Type / Status
Subject Peugeot 305 E507158 entity
Predicate designer P184 FINISHED
Object Pininfarina E472583 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: Pininfarina | Statement: [Peugeot 305, designer, Pininfarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pininfarina
Context triple: [Peugeot 305, designer, Pininfarina]
  • A. Pininfarina chosen
    Pininfarina is an Italian design and engineering firm renowned for creating iconic car designs for brands such as Ferrari, Maserati, and Alfa Romeo.
  • B. Automobili Pininfarina
    Automobili Pininfarina is an Italian luxury electric car manufacturer known for producing ultra-high-performance, limited-production vehicles such as the Battista hypercar.
  • C. Zagato
    Zagato is an Italian automotive design and coachbuilding firm renowned for its lightweight, aerodynamically styled sports and racing cars.
  • D. Bertone
    Bertone is an Italian automotive design and coachbuilding firm renowned for styling numerous iconic European cars.
  • E. Bertone
    Bertone is an Italian surname most notably associated with Tarcisio Bertone, a prominent cardinal and former Vatican Secretary of State.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1163008190aa9df36750a952d2 completed April 20, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c588a18881909a6f7c0eac0d11f4 completed May 16, 2026, 7:29 p.m.
Created at: April 16, 2026, 11:42 a.m.