Triple
T6373611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taizhou |
E143408
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
泰州
泰州是中国江苏省中部的一座历史文化名城和重要港口城市,以长江水运、制造业和传统美食而闻名。
|
E588968
|
NE FINISHED |
How this triple was built (4 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: 泰州 | Statement: [Taizhou, hasChineseName, 泰州]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 泰州 Context triple: [Taizhou, hasChineseName, 泰州]
-
A.
Huaian
Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
-
B.
Xuzhou
Xuzhou is a major historic city in northern Jiangsu Province, China, known as a strategic transportation hub and former battleground in multiple Chinese conflicts.
-
C.
Yancheng
Yancheng is a coastal prefecture-level city in eastern China known for its wetlands, nature reserves, and rapidly developing economy.
-
D.
Taicang, Jiangsu
Taicang, Jiangsu is a county-level city under Suzhou in eastern China, known for its developed port on the Yangtze River estuary and its strong manufacturing and logistics industries.
-
E.
Yangzhou
Yangzhou is a historic city in eastern China renowned for its canals, gardens, and role as a major cultural and commercial center along the Grand Canal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 泰州 Triple: [Taizhou, hasChineseName, 泰州]
Generated description
泰州是中国江苏省中部的一座历史文化名城和重要港口城市,以长江水运、制造业和传统美食而闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 泰州 Target entity description: 泰州是中国江苏省中部的一座历史文化名城和重要港口城市,以长江水运、制造业和传统美食而闻名。
-
A.
Huaian
Huaian is a historic prefecture-level city in northern Jiangsu Province, China, known as the birthplace of Premier Zhou Enlai and for its Grand Canal heritage.
-
B.
Xuzhou
Xuzhou is a major historic city in northern Jiangsu Province, China, known as a strategic transportation hub and former battleground in multiple Chinese conflicts.
-
C.
Yancheng
Yancheng is a coastal prefecture-level city in eastern China known for its wetlands, nature reserves, and rapidly developing economy.
-
D.
Taicang, Jiangsu
Taicang, Jiangsu is a county-level city under Suzhou in eastern China, known for its developed port on the Yangtze River estuary and its strong manufacturing and logistics industries.
-
E.
Yangzhou
Yangzhou is a historic city in eastern China renowned for its canals, gardens, and role as a major cultural and commercial center along the Grand Canal.
- F. None of above. chosen
Provenance (5 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068390af08190967a3d25ec9a50e5 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d9820f08190b12754d94507228f |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e6ba24481908845287b0eb65f3c |
completed | March 27, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62ecd35a88190a819b5764ecfbe55 |
completed | March 27, 2026, 7:16 a.m. |
Created at: March 22, 2026, 4:33 p.m.