Triple
T4060288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower of Buddhist Incense |
E86194
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
佛香阁
佛香阁是位于北京颐和园万寿山上的标志性古建筑,也是清代皇家园林中最著名的佛教建筑之一。
|
E410393
|
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: 佛香阁 | Statement: [Tower of Buddhist Incense, ChineseName, 佛香阁]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 佛香阁 Context triple: [Tower of Buddhist Incense, ChineseName, 佛香阁]
-
A.
太庙
太庙是北京故宫东侧一座明清皇家宗庙建筑群,现为对公众开放的历史文化景区。
-
B.
Guiyuan Temple
Guiyuan Temple is a historic and renowned Buddhist temple in Wuhan, China, known for its rich cultural heritage and significant religious influence.
-
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.
Nanshan Temple
Nanshan Temple is a major Buddhist temple and scenic coastal attraction in Hainan, China, known for its large Guanyin statue and tranquil seaside setting.
-
E.
Lingyin Temple
Lingyin Temple is one of China’s most renowned and historic Buddhist temples, nestled in a scenic valley near West Lake in Hangzhou.
- 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: 佛香阁 Triple: [Tower of Buddhist Incense, ChineseName, 佛香阁]
Generated description
佛香阁是位于北京颐和园万寿山上的标志性古建筑,也是清代皇家园林中最著名的佛教建筑之一。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 佛香阁 Target entity description: 佛香阁是位于北京颐和园万寿山上的标志性古建筑,也是清代皇家园林中最著名的佛教建筑之一。
-
A.
太庙
太庙是北京故宫东侧一座明清皇家宗庙建筑群,现为对公众开放的历史文化景区。
-
B.
Guiyuan Temple
Guiyuan Temple is a historic and renowned Buddhist temple in Wuhan, China, known for its rich cultural heritage and significant religious influence.
-
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.
Nanshan Temple
Nanshan Temple is a major Buddhist temple and scenic coastal attraction in Hainan, China, known for its large Guanyin statue and tranquil seaside setting.
-
E.
Lingyin Temple
Lingyin Temple is one of China’s most renowned and historic Buddhist temples, nestled in a scenic valley near West Lake in Hangzhou.
- 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_69aefbd32c0c8190bc575974ccf831b3 |
completed | March 9, 2026, 4:56 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.