Triple

T3047696
Position Surface form Disambiguated ID Type / Status
Subject Toyota Motor Corporation E83488 entity
Predicate hasDivision P35 FINISHED
Object Lexus Division 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 Division | Statement: [Toyota Motor Corporation, hasDivision, Lexus Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexus Division
Context triple: [Toyota Motor Corporation, hasDivision, Lexus Division]
  • 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. 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 RX
    The Lexus RX is a mid-size luxury crossover SUV known for its refined ride, upscale interior, and strong reputation for reliability.
  • D. Infiniti
    Infiniti is Nissan's luxury vehicle division, known for producing premium performance-oriented cars and SUVs.
  • E. Toyota Motor North America
    Toyota Motor North America is the regional headquarters responsible for managing Toyota’s automotive operations, sales, marketing, and manufacturing across the United States, Canada, and Mexico.
  • 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_69ad9bad11b48190a5bd01e91a320e14 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.