Triple

T14564671
Position Surface form Disambiguated ID Type / Status
Subject Chery Automobile E341752 entity
Predicate hasBrand P1500 FINISHED
Object Chery E341752 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: Chery | Statement: [Chery Automobile, hasBrand, Chery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chery
Context triple: [Chery Automobile, hasBrand, Chery]
  • A. Chery Automobile chosen
    Chery Automobile is a major Chinese state-owned car manufacturer known for producing affordable passenger vehicles and exporting them to numerous international markets.
  • B. Changan
    Changan is a major Chinese automobile manufacturer known for producing a wide range of passenger cars and commercial vehicles.
  • 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. Jiangling
    Jiangling was an important ancient Chinese city that served as a major political and cultural center of the State of Chu during the Zhou dynasty period.
  • E. 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.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac485688190a2917251a7c8721a completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.