Triple

T14006578
Position Surface form Disambiguated ID Type / Status
Subject BMW X4 E336963 entity
Predicate hasGeneration P455 FINISHED
Object BMW X4 G02 E336963 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 X4 G02 | Statement: [BMW X4, hasGeneration, BMW X4 G02]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW X4 G02
Context triple: [BMW X4, hasGeneration, BMW X4 G02]
  • A. BMW X4 chosen
    The BMW X4 is a compact luxury crossover SUV with coupe-like styling, positioned as a sportier alternative to the more traditional BMW X3.
  • 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 X5
    The BMW X5 is a mid-size luxury SUV known for combining strong performance, advanced technology, and upscale comfort in BMW’s X-series lineup.
  • D. BMW X3 M
    The BMW X3 M is a high-performance compact luxury SUV engineered by BMW’s M division, featuring sport-tuned dynamics and powerful engines.
  • E. BMW X2
    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.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd095ca5081908d7fed82e9ef0252 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:19 p.m.