Triple

T3261981
Position Surface form Disambiguated ID Type / Status
Subject BMW i4 E68431 entity
Predicate targetCompetitor P30601 FINISHED
Object Polestar 2 E320415 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: Polestar 2 | Statement: [BMW i4, targetCompetitor, Polestar 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polestar 2
Context triple: [BMW i4, targetCompetitor, Polestar 2]
  • A. Polestar chosen
    Polestar is a Swedish automotive brand focused on high-performance electric vehicles and advanced automotive technology.
  • B. BYD Atto 3
    The BYD Atto 3 is a compact electric SUV from Chinese automaker BYD, known for its competitive range, affordability, and use of BYD’s Blade Battery technology.
  • C. Volvo XC40
    The Volvo XC40 is a compact luxury crossover SUV known for its Scandinavian design, advanced safety features, and practical urban-friendly versatility.
  • 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 XC60
    The Volvo XC60 is a compact luxury crossover SUV known for its Scandinavian design, advanced safety features, and comfortable, family-oriented driving experience.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.