Triple

T17770267
Position Surface form Disambiguated ID Type / Status
Subject Changan E443614 entity
Predicate hasJointVenture P26627 FINISHED
Object Changan Ford NE NERFINISHED

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: Changan Ford | Statement: [Changan, hasJointVenture, Changan Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changan Ford
Context triple: [Changan, hasJointVenture, Changan Ford]
  • A. Changan chosen
    Changan is a major Chinese automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles.
  • B. Chery Automobile
    Chery Automobile is a major Chinese state-owned car manufacturer known for producing affordable passenger vehicles and exporting them to numerous international markets.
  • C. Dongfeng
    Dongfeng is a major Chinese state-owned automobile manufacturer known for producing a wide range of commercial and passenger vehicles and partnering with global car brands.
  • D. Wuling Motors
    Wuling Motors is a Chinese automobile manufacturer best known for producing affordable compact vehicles and microvans, including some of the country’s best-selling minivans.
  • E. SAIC Motor
    SAIC Motor is a major Chinese state-owned automotive manufacturer and one of the country’s largest carmakers, producing vehicles under its own brands and through joint ventures with global and regional partners.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485ff928481909fe32260ba57978f completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.