Triple

T13502805
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz GLK-Class E320934 entity
Predicate competitor P1375 FINISHED
Object BMW X3 E395826 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 X3 | Statement: [Mercedes-Benz GLK-Class, competitor, BMW X3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMW X3
Context triple: [Mercedes-Benz GLK-Class, competitor, BMW X3]
  • A. BMW X3 chosen
    The BMW X3 is a compact luxury crossover SUV known for its sporty driving dynamics, premium interior, and advanced technology features.
  • B. 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.
  • C. 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.
  • D. BMW X6
    The BMW X6 is a mid-size luxury crossover SUV known for its distinctive coupe-like roofline and sporty performance within BMW's lineup.
  • E. 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.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf50f4a48190a44fc537b78c32fd completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9009688190b8f18bb3525c6afd completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:43 p.m.