Triple

T3048049
Position Surface form Disambiguated ID Type / Status
Subject Toyota Financial Services E83496 entity
Predicate servesBrand P6337 FINISHED
Object Lexus E167735 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 | Statement: [Toyota Financial Services, servesBrand, Lexus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexus
Context triple: [Toyota Financial Services, servesBrand, Lexus]
  • A. Lexus chosen
    Lexus is the luxury vehicle division of the Japanese automaker Toyota, known for its premium sedans, SUVs, and hybrids that emphasize comfort, reliability, and advanced technology.
  • B. Infiniti
    Infiniti is Nissan's luxury vehicle division, known for producing premium performance-oriented cars and SUVs.
  • C. Lexus LS
    The Lexus LS is a flagship full-size luxury sedan from Toyota’s Lexus brand, known for its refinement, comfort, and reliability.
  • D. Acura
    Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9baed3848190a8351d9c8c4edc79 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f86f538481908e3e9c286e4fb676 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:01 p.m.