Triple

T16026478
Position Surface form Disambiguated ID Type / Status
Subject Hyundai Elantra E388729 entity
Predicate competesWith P1375 FINISHED
Object Honda Civic E91713 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 Civic | Statement: [Hyundai Elantra, competesWith, Honda Civic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honda Civic
Context triple: [Hyundai Elantra, competesWith, Honda Civic]
  • A. Honda Civic chosen
    The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
  • B. Honda Accord
    The Honda Accord is a popular mid-size car known for its reliability, fuel efficiency, and long-standing presence in the global automotive market.
  • C. Honda Fit
    The Honda Fit is a subcompact hatchback known for its exceptional interior space, fuel efficiency, and versatile “Magic Seat” rear seating system.
  • D. 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.
  • E. Acura Integra
    The Acura Integra is a popular compact sport coupe and hatchback known for its agile handling, high-revving engines, and strong enthusiast following, especially in the 1990s and early 2000s.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb867ae88190945af88247d4c80b completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.