Triple

T23001355
Position Surface form Disambiguated ID Type / Status
Subject Toyota MC platform E572639 entity
Predicate usedInModel P25490 FINISHED
Object Lexus HS 250h NE NERFINISHED

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: Lexus HS 250h | Statement: [Toyota MC platform, usedInModel, Lexus HS 250h]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexus HS 250h
Context triple: [Toyota MC platform, usedInModel, Lexus HS 250h]
  • A. Lexus HS chosen
    The Lexus HS is a compact luxury hybrid sedan that was Lexus’s first dedicated hybrid model, offering fuel-efficient performance and premium comfort features.
  • B. Lexus IS
    The Lexus IS is a compact luxury sports sedan from Toyota’s premium brand, known for its refined ride, upscale interior, and strong reliability.
  • C. Lexus NX
    The Lexus NX is a compact luxury crossover SUV known for its upscale interior, advanced technology features, and refined ride.
  • D. Lexus RX
    The Lexus RX is a mid-size luxury crossover SUV known for its refined ride, upscale interior, and strong reputation for reliability.
  • E. Lexus ES
    The Lexus ES is a midsize luxury sedan known for its comfort, refinement, and reliability, positioned as a premium yet value-oriented alternative to German executive cars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18353d05481909abacb48a14ef21e completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.