Triple

T16180148
Position Surface form Disambiguated ID Type / Status
Subject Acura Legend E392662 entity
Predicate competitor P1375 FINISHED
Object Lexus ES E334033 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: Lexus ES | Statement: [Acura Legend, competitor, Lexus ES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexus ES
Context triple: [Acura Legend, competitor, Lexus ES]
  • A. Lexus ES chosen
    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.
  • B. Lexus LS
    The Lexus LS is a flagship full-size luxury sedan from Toyota’s Lexus brand, known for its refinement, comfort, and reliability.
  • C. Lexus GS
    The Lexus GS is a mid-size luxury sedan known for blending refined comfort, strong performance, and advanced technology within Lexus’s premium lineup.
  • D. 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.
  • E. Lexus RX
    The Lexus RX is a mid-size luxury crossover SUV known for its refined ride, upscale interior, and strong reputation for 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.