Triple

T16684024
Position Surface form Disambiguated ID Type / Status
Subject Toyo Kogyo Co., Ltd. E405411 entity
Predicate notableBrand P1500 FINISHED
Object Mazda 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: Mazda | Statement: [Toyo Kogyo Co., Ltd., notableBrand, Mazda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda
Context triple: [Toyo Kogyo Co., Ltd., notableBrand, Mazda]
  • A. Mazda Motor Corporation chosen
    Mazda Motor Corporation is a Japanese automaker known for its innovative engineering, including rotary engines and driver-focused vehicles, and for its global presence in the automotive market.
  • B. Mazda Motor Manufacturing USA
    Mazda Motor Manufacturing USA was a former automotive manufacturing joint venture facility in Flat Rock, Michigan, that produced vehicles for Mazda (and later Ford) before being renamed the Flat Rock Assembly Plant.
  • C. Mazda MX series
    The Mazda MX series is a lineup of Mazda’s sporty, performance-oriented vehicles that includes models like the MX-5 Miata and MX-6.
  • D. Honda
    Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
  • E. Honda
    Honda is a major Japanese automobile and motorcycle manufacturer known for its reliable, fuel-efficient vehicles and global market presence.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d71a66881908c8d06cc074fdf29 completed April 18, 2026, 12:47 p.m.
Created at: April 10, 2026, 5:19 a.m.