Triple

T13069964
Position Surface form Disambiguated ID Type / Status
Subject BMW xDrive E329429 entity
Predicate usedIn P98 FINISHED
Object BMW X1 E351298 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 X1 | Statement: [BMW xDrive, usedIn, BMW X1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW X1
Context triple: [BMW xDrive, usedIn, BMW X1]
  • A. BMW X1 chosen
    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.
  • B. BMW X3
    The BMW X3 is a compact luxury crossover SUV known for its sporty driving dynamics, premium interior, and advanced technology features.
  • C. BMW X Series
    The BMW X Series is a lineup of BMW’s luxury crossover and sport utility vehicles known for combining premium comfort with sporty performance and all-wheel-drive capability.
  • 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 1 Series
    The BMW 1 Series is a compact premium car line from BMW, known for its sporty driving dynamics and position as an entry-level model in the brand’s 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60510dc81909e0cba8b63a50d9c completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.