Triple

T2977703
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz G-Class E80437 entity
Predicate alsoKnownAs P39 FINISHED
Object 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: G-Class | Statement: [Mercedes-Benz G-Class, alsoKnownAs, G-Class]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G-Class
Context triple: [Mercedes-Benz G-Class, alsoKnownAs, 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. Mercedes-Benz EQV
    The Mercedes-Benz EQV is a fully electric premium multi-purpose vehicle (MPV) that combines the spacious practicality of the V-Class with zero-emission battery-electric drive.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999b0d50819093dac7678b887a9b completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ecef788190ad40dba81f1036c6 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.