Triple
T21943002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhui |
E541867
|
entity |
| Predicate | chineseName |
P4878
|
FINISHED |
| Object | 新会区 |
—
|
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: 新会区 | Statement: [Xinhui, chineseName, 新会区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 新会区 Context triple: [Xinhui, chineseName, 新会区]
-
A.
台山市
台山市是中国广东省江门市下辖的一座沿海县级市，以侨乡文化、海岛风光和碉楼建筑而闻名。
-
B.
新會
新會 is a historic town and district-level area in Jiangmen, Guangdong, China, known as a traditional emigration center and part of the culturally rich Sze Yup region.
-
C.
Shunde District
Shunde District is a prosperous urban district in Foshan, Guangdong, China, known for its manufacturing industry, Cantonese cuisine, and cultural attractions.
-
D.
Xinhui District, Jiangmen
chosen
Xinhui District, Jiangmen is a district of Jiangmen City in Guangdong Province, China, historically known as Xinhui and noted as the ancestral home of many overseas Chinese.
-
E.
Jiangmen High-tech Zone
Jiangmen High-tech Zone is a state-level industrial and technological development area in Jiangmen, Guangdong, focused on high-tech manufacturing and innovation-driven industries.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.