Triple

T6622367
Position Surface form Disambiguated ID Type / Status
Subject Baojun passenger car platform E149706 entity
Predicate developer P73 FINISHED
Object Baojun E4516 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: Baojun | Statement: [Baojun passenger car platform, developer, Baojun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baojun
Context triple: [Baojun passenger car platform, developer, Baojun]
  • A. Baojun chosen
    Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
  • B. Baojun 510
    The Baojun 510 is a compact crossover SUV produced for the Chinese market, known for its affordable pricing and modern styling under the Baojun brand.
  • C. Baojun 310
    The Baojun 310 is a budget-friendly subcompact hatchback produced for the Chinese market under the Baojun brand, known for its practicality and value-oriented positioning.
  • D. Baojun 330
    The Baojun 330 is a compact car produced by the Chinese automaker Baojun, positioned as an affordable entry-level model in its lineup.
  • E. Baojun 530
    The Baojun 530 is a compact crossover SUV produced by SAIC-GM-Wuling for the Chinese market and various export markets under different brand names.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006cf9e881908a7cb7a8209ed7d2 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:58 p.m.