Triple

T16266428
Position Surface form Disambiguated ID Type / Status
Subject Moto3 E394886 entity
Predicate notableManufacturer P51141 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: [Moto3, notableManufacturer, Honda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda
Context triple: [Moto3, notableManufacturer, 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c839788190b974d1d0d2525b88 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f860ecc8190be904fa793968d89 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.