Triple

T2271165
Position Surface form Disambiguated ID Type / Status
Subject Lexus LX E50659 entity
Predicate competesWith P1375 FINISHED
Object Range Rover E221911 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: Range Rover | Statement: [Lexus LX, competesWith, Range Rover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Range Rover
Context triple: [Lexus LX, competesWith, Range Rover]
  • A. Range Rover chosen
    Range Rover is a luxury SUV line from Land Rover known for its off-road capability, upscale interiors, and status-symbol appeal.
  • B. Bentley Bentayga
    The Bentley Bentayga is a ultra-luxury SUV that combines high performance with opulent craftsmanship and advanced technology.
  • C. Bentley Arnage
    The Bentley Arnage is a full-size ultra-luxury sedan produced from the late 1990s to 2009, known for its opulent craftsmanship, powerful engines, and traditional British styling.
  • D. Porsche Cayenne
    The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
  • E. Bentley Azure
    The Bentley Azure is a full-size ultra-luxury convertible grand tourer renowned for its opulent craftsmanship, powerful performance, and exclusive status within Bentley’s lineup.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1c0de488190876b644cdaa41637 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71db927c8190a76cfb873039b04b completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.