Triple
T201568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baojun |
E4516
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Baojun RS-3 |
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 RS-3 | Statement: [Baojun, hasModel, Baojun RS-3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baojun RS-3 Context triple: [Baojun, hasModel, Baojun RS-3]
-
A.
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.
-
B.
Baojun
chosen
Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
-
C.
Baojun E200
The Baojun E200 is a compact, two-seat electric city car produced for the Chinese market, designed for short-range urban commuting.
-
D.
Wuling
Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
-
E.
SAIC Motor
SAIC Motor is a major Chinese state-owned automotive manufacturer and one of the country’s largest carmakers, producing vehicles under its own brands and through joint ventures with global and regional partners.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be5a6d081909723b23a6361d6ea |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a34764cb5c8190b9095a38866387d9 |
completed | Feb. 28, 2026, 7:52 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.