Triple
T3161316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Preserving Harmony |
E66106
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
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.
|
E332187
|
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: 保和殿 | Statement: [Hall of Preserving Harmony, ChineseName, 保和殿]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 保和殿 Context triple: [Hall of Preserving Harmony, ChineseName, 保和殿]
-
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.
皇居
皇居は、日本の天皇と皇室の公的な居所および宮中行事の中心となる東京都千代田区に位置する宮殿・庭園の総称である。
-
C.
Huairen Hall
Huairen Hall is a prominent building within Beijing’s Zhongnanhai leadership compound, historically used for important government meetings and state activities.
-
D.
Qinzheng Hall
Qinzheng Hall is a key government building within Beijing’s Zhongnanhai leadership compound, used for important official meetings and state affairs of China’s central leadership.
-
E.
Nanjing Imperial Palace
Nanjing Imperial Palace was the primary Ming dynasty imperial residence and political center in Nanjing before the capital moved to Beijing.
- 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: 保和殿 Triple: [Hall of Preserving Harmony, ChineseName, 保和殿]
Generated description
保和殿 is one of the principal ceremonial halls within Beijing’s Forbidden City, historically used for imperial banquets and important state rituals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 保和殿 Target entity description: 保和殿 is one of the principal ceremonial halls within Beijing’s Forbidden City, historically used for imperial banquets and important state rituals.
-
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.
皇居
皇居は、日本の天皇と皇室の公的な居所および宮中行事の中心となる東京都千代田区に位置する宮殿・庭園の総称である。
-
C.
Huairen Hall
Huairen Hall is a prominent building within Beijing’s Zhongnanhai leadership compound, historically used for important government meetings and state activities.
-
D.
Qinzheng Hall
Qinzheng Hall is a key government building within Beijing’s Zhongnanhai leadership compound, used for important official meetings and state affairs of China’s central leadership.
-
E.
Nanjing Imperial Palace
Nanjing Imperial Palace was the primary Ming dynasty imperial residence and political center in Nanjing before the capital moved to Beijing.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada617824c8190a293230041b2f1ea |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250fa3348190b1dc2825147a2fde |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b22910d9008190a92cddde647e994d |
completed | March 12, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b22966412481909a08742c15ac64df |
completed | March 12, 2026, 2:48 a.m. |
Created at: March 8, 2026, 3:05 p.m.