Triple

T15930836
Position Surface form Disambiguated ID Type / Status
Subject Allan Moffat E386318 entity
Predicate racedFor P32080 FINISHED
Object Mazda E91822 NE FINISHED

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: [Allan Moffat, racedFor, Mazda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazda
Context triple: [Allan Moffat, racedFor, 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 (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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a5b9348190962ddc1c35caf44f completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b2a8888190824f2252b65920f2 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.