Triple

T18869524
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz GLC-Class E461529 entity
Predicate competitor P1375 FINISHED
Object Volvo XC60 NE NERFINISHED

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: Volvo XC60 | Statement: [Mercedes-Benz GLC-Class, competitor, Volvo XC60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volvo XC60
Context triple: [Mercedes-Benz GLC-Class, competitor, Volvo XC60]
  • A. Volvo XC60 chosen
    The Volvo XC60 is a compact luxury crossover SUV known for its Scandinavian design, advanced safety features, and comfortable, family-oriented driving experience.
  • B. Volvo XC40
    The Volvo XC40 is a compact luxury crossover SUV known for its Scandinavian design, advanced safety features, and practical urban-friendly versatility.
  • C. Volvo XC90
    The Volvo XC90 is a mid-size luxury SUV known for its Scandinavian design, advanced safety features, and family-friendly practicality.
  • D. Volvo V60
    The Volvo V60 is a premium compact estate car known for its Scandinavian design, advanced safety features, and practical yet upscale interior.
  • E. Volvo V90
    The Volvo V90 is a premium mid-size estate car known for its Scandinavian design, advanced safety features, and practical yet luxurious interior.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a7e1308190a1667d2d2d43df6c completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.