Triple

T14174536
Position Surface form Disambiguated ID Type / Status
Subject BMW X1 E351298 entity
Predicate relatedTo P37 FINISHED
Object BMW X2 E1020409 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: BMW X2 | Statement: [BMW X1, relatedTo, BMW X2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW X2
Context triple: [BMW X1, relatedTo, BMW X2]
  • A. BMW X2 chosen
    The BMW X2 is a compact luxury crossover SUV that combines sporty coupe-like styling with the practicality and elevated driving position of an SUV.
  • B. BMW X1
    The BMW X1 is a compact luxury crossover SUV known for its premium interior, sporty driving dynamics, and position as an entry-level model in BMW’s SUV lineup.
  • C. BMW X3
    The BMW X3 is a compact luxury crossover SUV known for its sporty driving dynamics, premium interior, and advanced technology features.
  • D. BMW X4
    The BMW X4 is a compact luxury crossover SUV with coupe-like styling, positioned as a sportier alternative to the more traditional BMW X3.
  • E. BMW 2 Series Gran Coupe
    The BMW 2 Series Gran Coupe is a compact luxury four-door coupe that combines sporty performance with upscale features and styling in BMW’s entry-level lineup.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:02 a.m.