Triple

T1243324
Position Surface form Disambiguated ID Type / Status
Subject SAIC-GM-Wuling Automobile E26706 entity
Predicate ownsBrand P1500 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: [SAIC-GM-Wuling Automobile, ownsBrand, Baojun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baojun
Context triple: [SAIC-GM-Wuling Automobile, ownsBrand, 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 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f8a4208190bfcfeccc886de987 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:47 p.m.