Triple

T16302557
Position Surface form Disambiguated ID Type / Status
Subject BMW X3 E395826 entity
Predicate competitor P1375 FINISHED
Object Porsche Macan E208782 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: Porsche Macan | Statement: [BMW X3, competitor, Porsche Macan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porsche Macan
Context triple: [BMW X3, competitor, Porsche Macan]
  • A. Porsche Macan chosen
    The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday practicality.
  • B. Porsche Cayenne
    The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
  • C. Porsche Panamera
    The Porsche Panamera is a luxury four-door grand tourer that combines sports-car performance with the comfort and practicality of a premium sedan.
  • D. Bentley Bentayga
    The Bentley Bentayga is a ultra-luxury SUV that combines high performance with opulent craftsmanship and advanced technology.
  • E. Porsche Taycan
    The Porsche Taycan is a high-performance all-electric luxury sports sedan known for its rapid acceleration, advanced technology, and Porsche’s signature driving dynamics.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e3404288190a7106d62c15c3193 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.