天环广场
E928644
天环广场是位于广州市天河区的一座大型高端商业综合体和城市地标购物中心。
All labels observed (1)
| Label | Occurrences |
|---|---|
| 天环广场 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11484116 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 天环广场 Context triple: [天河区, 著名地标, 天环广场]
-
A.
恒隆广场
恒隆广场是位于上海南京西路核心地段的高端商业综合体和地标性购物中心，以奢侈品牌旗舰店和甲级写字楼著称。
-
B.
万达广场
万达广场是由大连万达集团在中国各大城市开发运营的大型城市综合体与购物中心连锁品牌。
-
C.
Panyu Square
Panyu Square is a major transportation and commercial hub in Guangzhou’s Panyu District, serving as a key southern gateway to the city.
-
D.
Haizhu Square
Haizhu Square is a prominent public square and commercial area in central Guangzhou, China, known as a major transportation and shopping hub along the Pearl River.
-
E.
Sungei Wang Plaza
Sungei Wang Plaza is a long-established, mid-range shopping complex in Kuala Lumpur known for its maze-like layout, affordable fashion, and diverse mix of small retailers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 天环广场 Target entity description: 天环广场是位于广州市天河区的一座大型高端商业综合体和城市地标购物中心。
-
A.
恒隆广场
恒隆广场是位于上海南京西路核心地段的高端商业综合体和地标性购物中心，以奢侈品牌旗舰店和甲级写字楼著称。
-
B.
万达广场
万达广场是由大连万达集团在中国各大城市开发运营的大型城市综合体与购物中心连锁品牌。
-
C.
Panyu Square
Panyu Square is a major transportation and commercial hub in Guangzhou’s Panyu District, serving as a key southern gateway to the city.
-
D.
Haizhu Square
Haizhu Square is a prominent public square and commercial area in central Guangzhou, China, known as a major transportation and shopping hub along the Pearl River.
-
E.
Sungei Wang Plaza
Sungei Wang Plaza is a long-established, mid-range shopping complex in Kuala Lumpur known for its maze-like layout, affordable fashion, and diverse mix of small retailers.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
商业综合体
ⓘ
城市地标建筑 ⓘ 购物中心 ⓘ |
| 中文名 | 天环广场 ⓘ |
| 主要功能 |
休闲体验
ⓘ
品牌旗舰店集聚 ⓘ 零售购物 ⓘ 餐饮娱乐 ⓘ |
| 交通方式 |
地铁可达
ⓘ
多条公交线路可达 ⓘ |
| 周边环境 |
临近珠江新城CBD
ⓘ
周边写字楼与高端住宅密集 ⓘ |
| 国家 |
中国
ⓘ
linked to:
China
|
| 地理位置 |
广州天河路商圈
ⓘ
珠江新城与天河路交界区域 ⓘ |
| 城市角色 |
区域消费与时尚潮流中心
ⓘ
广州地标性商业项目 ⓘ |
| 外文名 | Parc Central ⓘ |
| 定位 |
国际品牌集聚地
ⓘ
高端购物中心 ⓘ |
| 建筑形态 |
多层商业裙楼加地下空间
ⓘ
开放式购物公园 ⓘ |
| 性质 |
城市地标购物中心
ⓘ
大型高端商业综合体 ⓘ |
| 所在区 | 天河区 ⓘ |
| 所在商圈 |
天河路商圈
ⓘ
广州核心CBD商圈 ⓘ |
| 所在城市 |
广州市
ⓘ
linked to:
Guangzhou
|
| 服务客群 |
中高端消费人群
ⓘ
商务人群 ⓘ 旅游购物人群 ⓘ |
| 特色 |
与地铁站接驳便捷
ⓘ
开放式中庭与城市花园设计 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: 天环广场 Description of subject: 天环广场是位于广州市天河区的一座大型高端商业综合体和城市地标购物中心。
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.