Triple

T16180255
Position Surface form Disambiguated ID Type / Status
Subject Acura RL E392664 entity
Predicate category P87 FINISHED
Object Acura vehicles E91036 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: Acura vehicles | Statement: [Acura RL, category, Acura vehicles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acura vehicles
Context triple: [Acura RL, category, Acura vehicles]
  • A. Acura chosen
    Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
  • B. 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.
  • C. 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.
  • D. Acura Legend
    The Acura Legend is a mid-size luxury sedan and coupe produced by Honda's Acura division from the late 1980s to mid-1990s, known for helping establish Japanese luxury cars in the North American market.
  • E. Acura RDX
    The Acura RDX is a compact luxury crossover SUV known for its blend of performance, comfort, and advanced technology features.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205c92b48190b7125dbbcff3662e completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f183d88190b269233ff6e65d75 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:02 a.m.