Triple
T6475070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baojun 510 |
E146050
|
entity |
| Predicate | brand |
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: [Baojun 510, brand, Baojun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baojun Context triple: [Baojun 510, brand, 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653a595b881909e5d3cb781ad5ad4 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:50 p.m.