Triple

T4821425
Position Surface form Disambiguated ID Type / Status
Subject Maserati Quattroporte E107717 entity
Predicate competitor P1375 FINISHED
Object Porsche Panamera E204386 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 Panamera | Statement: [Maserati Quattroporte, competitor, Porsche Panamera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porsche Panamera
Context triple: [Maserati Quattroporte, competitor, Porsche Panamera]
  • A. Porsche Panamera chosen
    The Porsche Panamera is a luxury four-door grand tourer that combines sports-car performance with the comfort and practicality of a premium sedan.
  • 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 Macan
    The Porsche Macan is a compact luxury crossover SUV known for combining sports-car performance with everyday practicality.
  • D. 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.
  • E. Porsche 911 Turbo
    The Porsche 911 Turbo is a high-performance, turbocharged variant of Porsche’s iconic 911 sports car, renowned for its blistering acceleration, everyday usability, and all-weather capability.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc3cf5c8190bcd6ef039bab9878 completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.