Triple
T13510662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion Grove Garden |
E321129
|
entity |
| Predicate | hasNameInChinese |
P4878
|
FINISHED |
| Object |
狮子林
狮子林是位于中国苏州的一座以太湖石假山群和园林建筑著称的古典私家园林。
|
E1044039
|
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: 狮子林 | Statement: [Lion Grove Garden, hasNameInChinese, 狮子林]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 狮子林 Context triple: [Lion Grove Garden, hasNameInChinese, 狮子林]
-
A.
颐和园
颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
-
B.
云龙山
云龙山是一座位于中国的山岳景区,以秀美的自然风光和人文景观而闻名。
-
C.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
D.
Nan Lian Garden
Nan Lian Garden is a classical Chinese landscaped garden in Hong Kong, renowned for its Tang dynasty–style architecture, tranquil ponds, and meticulously manicured greenery.
-
E.
北海公园
北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
- 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: 狮子林 Triple: [Lion Grove Garden, hasNameInChinese, 狮子林]
Generated description
狮子林是位于中国苏州的一座以太湖石假山群和园林建筑著称的古典私家园林。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 狮子林 Target entity description: 狮子林是位于中国苏州的一座以太湖石假山群和园林建筑著称的古典私家园林。
-
A.
颐和园
颐和园是位于北京市西北部、以宏伟的皇家园林建筑和昆明湖、万寿山自然景观著称的世界文化遗产。
-
B.
云龙山
云龙山是一座位于中国的山岳景区,以秀美的自然风光和人文景观而闻名。
-
C.
蛇山
蛇山 is a well-known hill in Wuhan, Hubei Province, China, noted for its scenic views over the Yangtze River and its historical and cultural significance.
-
D.
Nan Lian Garden
Nan Lian Garden is a classical Chinese landscaped garden in Hong Kong, renowned for its Tang dynasty–style architecture, tranquil ponds, and meticulously manicured greenery.
-
E.
北海公园
北海公园是位于北京市中心、以皇家园林景观和历史文化遗迹著称的大型古典园林公园。
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7556329648190be791afdd197b08c |
completed | May 3, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f755c52c648190a4912725ce65ff04 |
completed | May 3, 2026, 2:03 p.m. |
Created at: April 9, 2026, 9:43 p.m.