Triple

T13426066
Position Surface form Disambiguated ID Type / Status
Subject World Rally Car E313484 entity
Predicate tireSupplier P17063 FINISHED
Object Pirelli (various eras) E188558 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: Pirelli (various eras) | Statement: [World Rally Car, tireSupplier, Pirelli (various eras)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pirelli (various eras)
Context triple: [World Rally Car, tireSupplier, Pirelli (various eras)]
  • A. Pirelli chosen
    Pirelli is an Italian multinational company best known as one of the world’s leading manufacturers of high-performance tyres, particularly in motorsport and premium road vehicles.
  • B. Pirelli DP-L10
    The Pirelli DP-L10 is a GSM mobile phone handset commonly used as a low-cost, supported platform for open-source baseband experimentation and development.
  • C. Bridgestone
    Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
  • D. Michelin
    Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
  • E. Continental Motors
    Continental Motors is an American manufacturer best known for producing aircraft and military vehicle engines, including powerplants for tanks and other armored vehicles.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed066408190a416880affd8416e completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461d27948190a5ca9136e27fdd62 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:40 p.m.