Triple

T8350342
Position Surface form Disambiguated ID Type / Status
Subject Mazda6 E196141 entity
Predicate competitor P1375 FINISHED
Object Honda Accord E93257 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 Accord | Statement: [Mazda6, competitor, Honda Accord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Accord
Context triple: [Mazda6, competitor, Honda Accord]
  • A. Honda Accord chosen
    The Honda Accord is a popular mid-size car known for its reliability, fuel efficiency, and long-standing presence in the global automotive market.
  • B. 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.
  • C. Acura TSX
    The Acura TSX is a compact executive sedan produced by Honda's luxury division, known for its sporty handling, refined interior, and strong reliability.
  • D. Acura TL
    The Acura TL is a mid-size luxury sedan produced by Honda's Acura division, known for its blend of performance, comfort, and advanced features.
  • E. Honda Pilot
    The Honda Pilot is a midsize three-row crossover SUV known for its family-friendly interior, reliability, and comfortable ride.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80181ca48190bbf2e6a6aae80d69 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc74e11f881908b52d0ffea751c96 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.