Triple

T2271162
Position Surface form Disambiguated ID Type / Status
Subject Lexus LX E50659 entity
Predicate competesWith P1375 FINISHED
Object Mercedes-Benz G-Class E80437 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: Mercedes-Benz G-Class | Statement: [Lexus LX, competesWith, Mercedes-Benz G-Class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes-Benz G-Class
Context triple: [Lexus LX, competesWith, Mercedes-Benz G-Class]
  • A. G-Class chosen
    The G-Class is Mercedes-Benz’s iconic luxury off-road SUV, renowned for its boxy design, rugged capability, and high-end performance.
  • B. Mercedes-Benz GLS
    The Mercedes-Benz GLS is a full-size luxury SUV known for its spacious three-row interior, advanced technology, and refined performance as the flagship SUV in Mercedes-Benz’s lineup.
  • C. Lexus LX
    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.
  • D. Porsche Cayenne
    The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
  • E. Nissan Patrol
    The Nissan Patrol is a large, rugged SUV renowned for its off-road capability and long-standing use as a durable 4x4 in markets worldwide.
  • 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.