Triple

T4920598
Position Surface form Disambiguated ID Type / Status
Subject Joey Dunlop E110454 entity
Predicate team P3756 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: [Joey Dunlop, team, Honda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda
Context triple: [Joey Dunlop, team, 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. 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.
  • D. Honda Civic
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • E. Acura
    Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffabccc81909115ece1b04e2061 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff4acd88190a308fbac84d3bad9 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:30 p.m.