Triple

T11956565
Position Surface form Disambiguated ID Type / Status
Subject Subaru World Rally Team E284566 entity
Predicate usedTyresFrom P36908 FINISHED
Object Pirelli E188558 NE FINISHED

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: [Subaru World Rally Team, usedTyresFrom, Pirelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pirelli
Context triple: [Subaru World Rally Team, usedTyresFrom, 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. 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.
  • E. Dunlop
    Dunlop is a well-known tire manufacturer that produces high-performance motorcycle and automotive tires used in both professional racing and everyday driving.
  • 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: usedTyresFrom
Context triple: [Subaru World Rally Team, usedTyresFrom, Pirelli]
  • A. usesSpecTyres
    Indicates that an entity operates or performs an action using special or specified types of tyres.
  • B. tireType chosen
    Indicates the specific kind or category of tire associated with an entity.
  • C. isRubberTyred
    Indicates that something operates or is equipped with rubber tires rather than steel wheels or another type of running gear.
  • D. usedOver
    Indicates that one entity has been utilized, applied, or consumed in relation to another entity, typically as a resource, medium, or tool in a particular context or period.
  • E. usedTractionType
    Indicates the type of traction or drive mechanism that was employed in performing the action or operating the entity.
  • F. None of above.

Provenance (4 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
PD Predicate disambiguation batch_69d8bb3e48e08190b2fee43af4f57323 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.