Triple

T16179941
Position Surface form Disambiguated ID Type / Status
Subject Renault Captur E392657 entity
Predicate competitor P1375 FINISHED
Object Nissan Juke E126342 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: Nissan Juke | Statement: [Renault Captur, competitor, Nissan Juke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan Juke
Context triple: [Renault Captur, competitor, Nissan Juke]
  • A. Nissan Juke chosen
    The Nissan Juke is a subcompact crossover SUV known for its distinctive, unconventional styling and sporty driving character.
  • B. Nissan Kicks
    The Nissan Kicks is a subcompact crossover SUV known for its urban-friendly size, fuel efficiency, and value-oriented pricing.
  • C. Mitsubishi Eclipse Cross
    The Mitsubishi Eclipse Cross is a compact crossover SUV known for its distinctive coupe-like styling, turbocharged performance, and position as a global model in Mitsubishi’s modern lineup.
  • D. Nissan Qashqai
    The Nissan Qashqai is a compact crossover SUV popular for its practical size, fuel efficiency, and family-friendly versatility, especially in European markets.
  • E. Mitsubishi ASX
    The Mitsubishi ASX is a compact crossover SUV produced by Mitsubishi Motors, known for its practical size, elevated driving position, and versatility for urban and light off-road use.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.