Triple

T13893656
Position Surface form Disambiguated ID Type / Status
Subject Lexus ES E334033 entity
Predicate manufacturer P490 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: [Lexus ES, manufacturer, Lexus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexus
Context triple: [Lexus ES, manufacturer, 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 RX/NX/GX
    The Lexus RX/NX/GX are Lexus’s popular luxury SUV lineup, spanning compact, midsize, and off-road-capable models known for comfort, refinement, and reliability.
  • D. 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.
  • E. Lexus LS
    The Lexus LS is a flagship full-size luxury sedan from Toyota’s Lexus brand, known for its refinement, comfort, and 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71ca8a881908ac02687fbfe62fb completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.