Triple
T4396537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 汉阳 |
E99504
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
归元禅寺
归元禅寺是一座位于湖北省武汉市汉阳区、以古朴建筑和众多佛像而闻名的历史悠久佛教寺院。
|
E436743
|
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: 归元禅寺 | Statement: [汉阳, contains, 归元禅寺]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 归元禅寺 Context triple: [汉阳, contains, 归元禅寺]
-
A.
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。
-
B.
Chongshan Temple
Chongshan Temple is a historic and culturally significant Buddhist temple in Taiyuan, Shanxi Province, known for its ancient architecture and important religious relics.
-
C.
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.
-
D.
龍安寺
龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
-
E.
Chuang Yen Monastery
Chuang Yen Monastery is a major Buddhist temple complex in Putnam County, New York, known for housing one of the largest indoor Buddha statues in the Western Hemisphere.
- 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: 归元禅寺 Triple: [汉阳, contains, 归元禅寺]
Generated description
归元禅寺是一座位于湖北省武汉市汉阳区、以古朴建筑和众多佛像而闻名的历史悠久佛教寺院。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 归元禅寺 Target entity description: 归元禅寺是一座位于湖北省武汉市汉阳区、以古朴建筑和众多佛像而闻名的历史悠久佛教寺院。
-
A.
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。
-
B.
Chongshan Temple
Chongshan Temple is a historic and culturally significant Buddhist temple in Taiyuan, Shanxi Province, known for its ancient architecture and important religious relics.
-
C.
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.
-
D.
龍安寺
龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
-
E.
Chuang Yen Monastery
Chuang Yen Monastery is a major Buddhist temple complex in Putnam County, New York, known for housing one of the largest indoor Buddha statues in the Western Hemisphere.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352aca86c8190b5af7e6600072066 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e536e1848190a2517ab351adfe48 |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5eeb01b848190b15f07e6bd028c56 |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef028a448190b873eb544688d200 |
completed | March 14, 2026, 11:28 p.m. |
Created at: March 12, 2026, 11:20 p.m.