Triple

T136041
Position Surface form Disambiguated ID Type / Status
Subject Wuling E2748 entity
Predicate hasModel P2390 FINISHED
Object Wuling Hongguang Mini EV E2748 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: Wuling Hongguang Mini EV | Statement: [Wuling, hasModel, Wuling Hongguang Mini EV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuling Hongguang Mini EV
Context triple: [Wuling, hasModel, Wuling Hongguang Mini EV]
  • A. Baojun
    Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
  • B. Hyundai Kona Electric
    The Hyundai Kona Electric is a subcompact all-electric crossover SUV known for its practical range, compact size, and affordability in the mainstream EV market.
  • C. Nissan Leaf
    The Nissan Leaf is a mass-market all-electric compact hatchback known for pioneering affordable zero-emission driving.
  • D. 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.
  • E. Wuling chosen
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a4edf081908c494c8370c76b9a completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c939ea148190984dfd347b12d136 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.