Triple
T20103245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huizhou |
E496601
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 惠州 |
—
|
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: 惠州 | Statement: [Huizhou, hasChineseName, 惠州]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 惠州 Context triple: [Huizhou, hasChineseName, 惠州]
-
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.
Huizhou (city)
chosen
Huizhou is a prefecture-level city in Guangdong Province, China, known for its rapidly developing economy, electronics manufacturing industry, and scenic lakes and mountains near the Pearl River Delta.
-
C.
Huizhou
Huizhou is a historic cultural and commercial region in southeastern China, famed for its distinctive Huizhou architecture, merchant culture, and influential role in the development of Huizhou (Xin'an) Neo-Confucianism.
-
D.
Jieyang
Jieyang is a city in eastern Guangdong Province, China, known as part of the Chaoshan region where the Teochew people and their distinctive Teochew culture are prominent.
-
E.
Huizhou District
Huizhou District is an administrative district of Huangshan City in Anhui Province, China, known for its historic Huizhou culture and traditional architecture.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.