Triple
T4396538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 汉阳 |
E99504
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
晴川阁
晴川阁是一座位于湖北武汉汉阳江畔、以优美江景和深厚历史文化底蕴著称的古典楼阁式建筑。
|
E436744
|
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: 晴川阁 | Statement: [汉阳, contains, 晴川阁]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 晴川阁 Context triple: [汉阳, contains, 晴川阁]
-
A.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
-
B.
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。
-
C.
西堤
西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观,以其连桥叠景和湖山胜色著称。
-
D.
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.
-
E.
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.
- 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: 晴川阁 Triple: [汉阳, contains, 晴川阁]
Generated description
晴川阁是一座位于湖北武汉汉阳江畔、以优美江景和深厚历史文化底蕴著称的古典楼阁式建筑。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 晴川阁 Target entity description: 晴川阁是一座位于湖北武汉汉阳江畔、以优美江景和深厚历史文化底蕴著称的古典楼阁式建筑。
-
A.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
-
B.
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。
-
C.
西堤
西堤是位于北京颐和园昆明湖西侧的一条仿杭州苏堤而建的长堤景观,以其连桥叠景和湖山胜色著称。
-
D.
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.
-
E.
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.
- 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.