Triple

T13670211
Position Surface form Disambiguated ID Type / Status
Subject Volvo V60 E327727 entity
Predicate relatedModel P37 FINISHED
Object Volvo XC60 E323917 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: Volvo XC60 | Statement: [Volvo V60, relatedModel, Volvo XC60]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volvo XC60
Context triple: [Volvo V60, relatedModel, 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 (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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d487e2c8190909e1c80cc2262ed completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:53 p.m.