Triple
T15609719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearl River Tower |
E375254
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
珠江城大厦
珠江城大厦是一座位于中国广州、以高能效和可持续设计著称的超高层绿色办公楼。
|
E1166981
|
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: 珠江城大厦 | Statement: [Pearl River Tower, nativeName, 珠江城大厦]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 珠江城大厦 Context triple: [Pearl River Tower, nativeName, 珠江城大厦]
-
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.
天环广场
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。
-
D.
Yintai Centre office towers
Yintai Centre office towers are a prominent trio of high-end commercial skyscrapers in Beijing’s central business district, known for their modern design and prime location.
-
E.
沙面岛
沙面岛是位于中国广州珠江中的一座历史文化小岛，以其保存完好的欧陆风情建筑群和曾为多国租界的独特殖民历史而闻名。
- 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: 珠江城大厦 Triple: [Pearl River Tower, nativeName, 珠江城大厦]
Generated description
珠江城大厦是一座位于中国广州、以高能效和可持续设计著称的超高层绿色办公楼。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 珠江城大厦 Target entity description: 珠江城大厦是一座位于中国广州、以高能效和可持续设计著称的超高层绿色办公楼。
-
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.
天环广场
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。
-
D.
Yintai Centre office towers
Yintai Centre office towers are a prominent trio of high-end commercial skyscrapers in Beijing’s central business district, known for their modern design and prime location.
-
E.
沙面岛
沙面岛是位于中国广州珠江中的一座历史文化小岛，以其保存完好的欧陆风情建筑群和曾为多国租界的独特殖民历史而闻名。
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.