Triple

T136034
Position Surface form Disambiguated ID Type / Status
Subject Wuling E2748 entity
Predicate marketedBy P4613 FINISHED
Object SAIC-GM-Wuling Automobile 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: SAIC-GM-Wuling Automobile | Statement: [Wuling, marketedBy, SAIC-GM-Wuling Automobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAIC-GM-Wuling Automobile
Context triple: [Wuling, marketedBy, SAIC-GM-Wuling Automobile]
  • A. Baojun
    Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
  • B. Wuling chosen
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • C. Toyota Motor Corporation
    Toyota Motor Corporation is a Japanese multinational automaker renowned for its reliable vehicles, pioneering of lean manufacturing and the Toyota Production System, and global leadership in hybrid technology.
  • D. General Motors
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • E. Saab Automobile
    Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
  • 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_69a2b0198e08819088752a41f4a1d488 completed Feb. 28, 2026, 9:06 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.