Triple

T15842577
Position Surface form Disambiguated ID Type / Status
Subject Jordan Grand Prix E384133 entity
Predicate engineSupplier P17328 FINISHED
Object Honda E16304 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: Honda | Statement: [Jordan Grand Prix, engineSupplier, Honda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda
Context triple: [Jordan Grand Prix, engineSupplier, Honda]
  • A. Honda
    Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
  • B. Honda chosen
    Honda is a major Japanese automobile and motorcycle manufacturer known for its reliable, fuel-efficient vehicles and global market presence.
  • C. Mugen-Honda
    Mugen-Honda was a racing engine partnership between Mugen Motorsports and Honda that supplied competitive Formula One power units in the 1990s.
  • D. American Honda Motor Company
    American Honda Motor Company is the U.S.-based subsidiary of the Japanese automaker Honda, responsible for the marketing, sales, and distribution of Honda and Acura vehicles and products in the United States.
  • E. Mazda Motor Corporation
    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.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e88ff08190a1035269e8fdaa6a completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93ddce4819086174b2549f5e12b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.