Triple

T22204082
Position Surface form Disambiguated ID Type / Status
Subject Continental Tyres League Cup E548757 entity
Predicate sponsor P67 FINISHED
Object Continental Tyres 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: Continental Tyres | Statement: [Continental Tyres League Cup, sponsor, Continental Tyres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Continental Tyres
Context triple: [Continental Tyres League Cup, sponsor, Continental Tyres]
  • A. 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.
  • B. Continental chosen
    Continental is a major German automotive manufacturing company best known for producing tires, braking systems, and other vehicle components.
  • C. Nokian Tyres
    Nokian Tyres is a Finnish tire manufacturer best known for its high-quality winter and all-weather tires designed for challenging Nordic conditions.
  • D. Continental Commercial Company
    Continental Commercial Company was a business firm known as the early employer of New Thought author and businessman Charles F. Haanel.
  • E. Michelin
    Michelin is a major French multinational tire manufacturer renowned for its tires, travel guides, and the Michelin star restaurant rating system.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b25eac4819094b3c50027ed66db completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.