Triple

T6514305
Position Surface form Disambiguated ID Type / Status
Subject Baojun 310 E148214 entity
Predicate relatedModel P37 FINISHED
Object Baojun 310W E148214 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 310W | Statement: [Baojun 310, relatedModel, Baojun 310W]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baojun 310W
Context triple: [Baojun 310, relatedModel, Baojun 310W]
  • A. Baojun 310 chosen
    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.
  • 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 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.
  • D. Baojun 730
    The Baojun 730 is a compact multi-purpose vehicle (MPV) produced by the Chinese automaker Baojun, known for its affordable family-oriented design and spacious interior.
  • E. Baojun E200
    The Baojun E200 is a compact, two-seat electric city car produced for the Chinese market, designed for short-range urban commuting.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5125c448190bf47843fcac66efe completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:44 p.m.