Triple

T9010112
Position Surface form Disambiguated ID Type / Status
Subject Lamborghini Urus E215445 entity
Predicate sharesPlatformWith P8246 FINISHED
Object Porsche Cayenne E205143 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 Cayenne | Statement: [Lamborghini Urus, sharesPlatformWith, Porsche Cayenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porsche Cayenne
Context triple: [Lamborghini Urus, sharesPlatformWith, Porsche Cayenne]
  • A. Porsche Cayenne chosen
    The Porsche Cayenne is a luxury midsize SUV that combines sports-car performance and handling with upscale comfort and practicality.
  • B. Porsche Macan
    The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday 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. Volkswagen Touareg
    The Volkswagen Touareg is a mid-size luxury crossover SUV produced by the German automaker Volkswagen, known for its refined ride, upscale features, and available advanced all-wheel-drive systems.
  • E. Audi Q7
    The Audi Q7 is a luxury midsize SUV known for its premium interior, advanced technology, and refined all-wheel-drive performance.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9a11948190a43f60d0df71b1af completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.