Triple

T16179247
Position Surface form Disambiguated ID Type / Status
Subject MG5 EV E392643 entity
Predicate competitor P1375 FINISHED
Object Nissan Leaf E16980 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 Leaf | Statement: [MG5 EV, competitor, Nissan Leaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissan Leaf
Context triple: [MG5 EV, competitor, Nissan Leaf]
  • A. Nissan Leaf chosen
    The Nissan Leaf is a mass-market all-electric compact hatchback known for pioneering affordable zero-emission driving.
  • B. Chevrolet Bolt EV
    The Chevrolet Bolt EV is a compact all-electric hatchback known for its relatively long driving range, affordability, and role in popularizing mainstream electric vehicles in North America.
  • C. Mitsubishi i-MiEV
    The Mitsubishi i-MiEV is a compact all-electric city car from Mitsubishi Motors, recognized as one of the early mass-produced electric vehicles.
  • D. Kia Niro EV
    The Kia Niro EV is a compact all-electric crossover SUV known for its practical range, efficient performance, and versatile hatchback design.
  • E. Renault Zoe
    The Renault Zoe is a compact all-electric hatchback known for popularizing affordable urban electric mobility in Europe.
  • 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_69d87f1d32208190942e4e499a80c18c 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_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.