Triple

T3048039
Position Surface form Disambiguated ID Type / Status
Subject BYD Auto E83495 entity
Predicate competitor P1375 FINISHED
Object SAIC Motor E16302 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 Motor | Statement: [BYD Auto, competitor, SAIC Motor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAIC Motor
Context triple: [BYD Auto, competitor, SAIC Motor]
  • A. SAIC Motor chosen
    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.
  • B. SAIC-GM-Wuling Automobile
    SAIC-GM-Wuling Automobile is a Chinese automotive joint venture known for producing affordable mass-market vehicles and operating brands such as Baojun and Wuling.
  • C. 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.
  • D. Zhejiang Geely Holding Group
    Zhejiang Geely Holding Group is a major Chinese multinational automotive conglomerate known for owning global car brands such as Volvo Cars and Geely Auto.
  • E. BYD Auto
    BYD Auto is a major Chinese automobile manufacturer best known for its electric and hybrid vehicles and rapid global expansion in the new energy vehicle market.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9baed3848190a8351d9c8c4edc79 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef7d1e081908535b7d972a147eb completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.