Triple

T16120340
Position Surface form Disambiguated ID Type / Status
Subject Li Auto E391117 entity
Predicate alsoKnownAs P39 FINISHED
Object Li Xiang Automobile E1196597 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: Li Xiang Automobile | Statement: [Li Auto, alsoKnownAs, Li Xiang Automobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Xiang Automobile
Context triple: [Li Auto, alsoKnownAs, Li Xiang Automobile]
  • A. Li Xiang Auto chosen
    Li Xiang Auto is a Chinese electric vehicle manufacturer known for its range-extended hybrid SUVs and focus on family-oriented smart cars.
  • 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. Nanjing Automobile
    Nanjing Automobile is a major Chinese state-owned automobile manufacturer known for acquiring the MG brand and producing passenger cars and commercial vehicles.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20200acac8190a47e6a917ff8dd34 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.