Triple

T18367640
Position Surface form Disambiguated ID Type / Status
Subject Alpine F1 Team E440089 entity
Predicate usesTyres P109340 FINISHED
Object Pirelli NE NERFINISHED

How this triple was built (3 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 | Statement: [Alpine F1 Team, usesTyres, Pirelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pirelli
Context triple: [Alpine F1 Team, usesTyres, Pirelli]
  • 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. Michelin
    Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
  • 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. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTyres
Context triple: [Alpine F1 Team, usesTyres, Pirelli]
  • A. usesSpecTyres
    Indicates that an entity operates or performs an action using special or specified types of tyres.
  • B. isRubberTyred
    Indicates that something operates or is equipped with rubber tires rather than steel wheels or another type of running gear.
  • C. tireType
    Indicates the specific kind or category of tire associated with an entity.
  • D. tyreBrand chosen
    Indicates the brand or manufacturer associated with a given tyre.
  • E. tyreStress
    Indicates the level or presence of mechanical load, strain, or fatigue experienced by a tyre during use.
  • F. None of above.

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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174f5f448190a1fc67d3039aadd9 completed April 19, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69e44fed3fdc81908f4ed6a81db42416 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:38 a.m.