Triple
T14564696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chery Automobile |
E341752
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 奇瑞汽车 |
E341752
|
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: 奇瑞汽车 | Statement: [Chery Automobile, nativeName, 奇瑞汽车]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 奇瑞汽车 Context triple: [Chery Automobile, nativeName, 奇瑞汽车]
-
A.
Chery Automobile
chosen
Chery Automobile is a major Chinese state-owned car manufacturer known for producing affordable passenger vehicles and exporting them to numerous international markets.
-
B.
Wuling Motors
Wuling Motors is a Chinese automobile manufacturer best known for producing affordable compact vehicles and microvans, including some of the country’s best-selling minivans.
-
C.
Chery QQ
The Chery QQ is a small, low-cost city car produced by Chinese automaker Chery, known for its compact size and affordability in emerging markets.
-
D.
Baojun
Baojun is a Chinese automobile marque known for producing affordable mass-market vehicles through a joint venture involving General Motors.
-
E.
Nanjing Automobile
Nanjing Automobile is a major Chinese state-owned automobile manufacturer known for acquiring the MG brand and producing passenger cars and commercial vehicles.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac485688190a2917251a7c8721a |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.