Triple
T20634298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venucia |
E507036
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Baojun |
—
|
NE NERFINISHED |
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: [Venucia, competitor, Baojun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baojun Context triple: [Venucia, competitor, 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 (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0e5fc481909e4f0dd7fb1203fc |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.