Triple
T4060382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 颐和园 |
E86196
|
entity |
| Predicate | 主要建筑 |
P1544
|
FINISHED |
| Object |
排云殿
排云殿是位于北京颐和园内的一组重要宫殿式建筑群,曾为清代皇室举行庆典和宴会的主要场所之一。
|
E410395
|
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: 排云殿 | Statement: [颐和园, 主要建筑, 排云殿]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 排云殿 Context triple: [颐和园, 主要建筑, 排云殿]
-
A.
交泰殿
交泰殿 is a historic hall within Beijing’s Forbidden City, traditionally used for important imperial ceremonies and symbolizing the harmony of heaven and earth in Chinese imperial architecture.
-
B.
保和殿
保和殿 is one of the principal ceremonial halls within Beijing’s Forbidden City, historically used for imperial banquets and important state rituals.
-
C.
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。
-
D.
中和殿
中和殿 is a ceremonial hall within Beijing’s Forbidden City, historically used by Chinese emperors to rest and prepare before major state rituals.
-
E.
Canglang Pavilion
Canglang Pavilion is one of Suzhou’s oldest and most renowned classical Chinese gardens, celebrated for its elegant pavilions, poetic landscaping, and integration of water and rock scenery.
- 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: 排云殿 Triple: [颐和园, 主要建筑, 排云殿]
Generated description
排云殿是位于北京颐和园内的一组重要宫殿式建筑群,曾为清代皇室举行庆典和宴会的主要场所之一。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 排云殿 Target entity description: 排云殿是位于北京颐和园内的一组重要宫殿式建筑群,曾为清代皇室举行庆典和宴会的主要场所之一。
-
A.
交泰殿
交泰殿 is a historic hall within Beijing’s Forbidden City, traditionally used for important imperial ceremonies and symbolizing the harmony of heaven and earth in Chinese imperial architecture.
-
B.
保和殿
保和殿 is one of the principal ceremonial halls within Beijing’s Forbidden City, historically used for imperial banquets and important state rituals.
-
C.
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。
-
D.
中和殿
中和殿 is a ceremonial hall within Beijing’s Forbidden City, historically used by Chinese emperors to rest and prepare before major state rituals.
-
E.
Canglang Pavilion
Canglang Pavilion is one of Suzhou’s oldest and most renowned classical Chinese gardens, celebrated for its elegant pavilions, poetic landscaping, and integration of water and rock scenery.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01994b0c8190b34af36acadad5c6 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a98c488190a7e77cd46ff998bc |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.