Triple

T19720262
Position Surface form Disambiguated ID Type / Status
Subject Michio Suzuki E473588 entity
Predicate employer P7 FINISHED
Object Suzuki Motor Corporation 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: Suzuki Motor Corporation | Statement: [Michio Suzuki, employer, Suzuki Motor Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzuki Motor Corporation
Context triple: [Michio Suzuki, employer, Suzuki Motor Corporation]
  • A. Suzuki Motor Corporation chosen
    Suzuki Motor Corporation is a Japanese multinational automaker best known for its compact cars, motorcycles, and all-terrain vehicles sold worldwide.
  • B. Suzuki
    Suzuki is a common Japanese surname borne by many notable individuals across sports, entertainment, and other fields.
  • C. Yamaha Motor Company
    Yamaha Motor Company is a Japanese manufacturer best known for its motorcycles, marine products, and power equipment, and is one of the world’s leading powersports brands.
  • D. Pak Suzuki Motor Company
    Pak Suzuki Motor Company is a leading Pakistani automobile manufacturer and assembler, primarily known for producing and selling affordable Suzuki-branded cars and motorcycles in the local market.
  • E. Kawasaki Motors
    Kawasaki Motors is the motorcycle, ATV, and small engine manufacturing division of Kawasaki Heavy Industries, known worldwide for its high-performance bikes and power sports vehicles.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64410e5548190b60e13603b6c0053 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.