Triple

T8929466
Position Surface form Disambiguated ID Type / Status
Subject Audi Q5 E212614 entity
Predicate relatedModel P37 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: [Audi Q5, relatedModel, Porsche Macan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porsche Macan
Context triple: [Audi Q5, relatedModel, 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc667470308190a75ba63de803e3a2 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.