Triple
T17851991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yizhuang |
E445829
|
entity |
| Predicate | hasPinyinName |
P2508
|
FINISHED |
| Object |
Yìzhuāng
Yìzhuāng is a major suburban development area in Beijing, China, known for its economic and technological development zone and growing residential communities.
|
E1292325
|
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: Yìzhuāng | Statement: [Yizhuang, hasPinyinName, Yìzhuāng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yìzhuāng Context triple: [Yizhuang, hasPinyinName, Yìzhuāng]
-
A.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
B.
Liangjiazhuang
Liangjiazhuang is a town in Shanxi Province, China, that serves as the administrative center of Wutai County.
-
C.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
D.
Fusui Zhuang
Fusui Zhuang is a variety of the Zhuang language spoken by the Zhuang people in the Fusui region of Guangxi, southern China.
-
E.
Jingxi Zhuang
Jingxi Zhuang is a variety of the Zhuang language spoken in the Jingxi region of Guangxi, China, belonging to the Central Tai branch of the Tai–Kadai language family.
- 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: Yìzhuāng Triple: [Yizhuang, hasPinyinName, Yìzhuāng]
Generated description
Yìzhuāng is a major suburban development area in Beijing, China, known for its economic and technological development zone and growing residential communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yìzhuāng Target entity description: Yìzhuāng is a major suburban development area in Beijing, China, known for its economic and technological development zone and growing residential communities.
-
A.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
B.
Liangjiazhuang
Liangjiazhuang is a town in Shanxi Province, China, that serves as the administrative center of Wutai County.
-
C.
Zhaoyuan
Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
-
D.
Fusui Zhuang
Fusui Zhuang is a variety of the Zhuang language spoken by the Zhuang people in the Fusui region of Guangxi, southern China.
-
E.
Jingxi Zhuang
Jingxi Zhuang is a variety of the Zhuang language spoken in the Jingxi region of Guangxi, China, belonging to the Central Tai branch of the Tai–Kadai language family.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c5e368081908df3a20cd40aeb9f |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030d2ebb44819083c58cfae6c7ca47 |
completed | May 12, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030e1b78388190bbad5f4f967c31d3 |
completed | May 12, 2026, 11:25 a.m. |
Created at: April 10, 2026, 10:17 a.m.