Triple

T9234938
Position Surface form Disambiguated ID Type / Status
Subject Range Rover E221911 entity
Predicate competitor P1375 FINISHED
Object Lexus LX E50659 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 LX | Statement: [Range Rover, competitor, Lexus LX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lexus LX
Context triple: [Range Rover, competitor, Lexus LX]
  • A. Lexus LX chosen
    The Lexus LX is a full-size luxury SUV known for its off-road capability, premium features, and close relation to the Toyota Land Cruiser.
  • B. Lexus GX
    The Lexus GX is a mid-size luxury SUV known for its body-on-frame construction, off-road capability, and upscale interior.
  • 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. Toyota Land Cruiser
    The Toyota Land Cruiser is a renowned full-size four-wheel-drive SUV celebrated for its durability, off-road capability, and long-standing global reputation for reliability.
  • E. Lexus NX
    The Lexus NX is a compact luxury crossover SUV known for its upscale interior, advanced technology features, and refined ride.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1cca0c8190bf587f54236c9e45 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1c5c654819084a9f0e8fce75d13 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:29 p.m.