Triple
T9926767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenhai Tower |
E187941
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object |
镇海楼
镇海楼是一座位于中国广州越秀山上的历史性古建筑和地标性城楼,因其观景与防御功能而闻名。
|
E815748
|
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: 镇海楼 | Statement: [Zhenhai Tower, ChineseName, 镇海楼]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 镇海楼 Context triple: [Zhenhai Tower, ChineseName, 镇海楼]
-
A.
春帆楼
春帆楼 is a historic traditional Japanese restaurant and inn in Shimonoseki, Yamaguchi Prefecture, famed as the site where the Treaty of Shimonoseki was signed.
-
B.
黄鹤楼
黄鹤楼是位于中国湖北省武汉市长江南岸蛇山之巅的历史名楼,以其悠久的文化底蕴和壮丽的江景闻名于世。
-
C.
城门楼
城门楼是一种建于城门之上的多层楼阁式建筑,兼具防御、瞭望与礼仪象征等功能,在中国古代城池与宫城中极具代表性。
-
D.
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。
-
E.
朝天门
朝天门 is a historic and iconic riverfront gate area in Chongqing, China, located at the confluence of the Yangtze and Jialing rivers and known today as a major transportation and commercial hub.
- 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: 镇海楼 Triple: [Zhenhai Tower, ChineseName, 镇海楼]
Generated description
镇海楼是一座位于中国广州越秀山上的历史性古建筑和地标性城楼,因其观景与防御功能而闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 镇海楼 Target entity description: 镇海楼是一座位于中国广州越秀山上的历史性古建筑和地标性城楼,因其观景与防御功能而闻名。
-
A.
春帆楼
春帆楼 is a historic traditional Japanese restaurant and inn in Shimonoseki, Yamaguchi Prefecture, famed as the site where the Treaty of Shimonoseki was signed.
-
B.
黄鹤楼
黄鹤楼是位于中国湖北省武汉市长江南岸蛇山之巅的历史名楼,以其悠久的文化底蕴和壮丽的江景闻名于世。
-
C.
城门楼
chosen
城门楼是一种建于城门之上的多层楼阁式建筑,兼具防御、瞭望与礼仪象征等功能,在中国古代城池与宫城中极具代表性。
-
D.
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。
-
E.
朝天门
朝天门 is a historic and iconic riverfront gate area in Chongqing, China, located at the confluence of the Yangtze and Jialing rivers and known today as a major transportation and commercial hub.
- F. None of above.
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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59b85f88190899ea279fc02660f |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e1eace88190a591cbab02153869 |
completed | April 5, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69d20ed2dea481909fd9a9dddac3daf1 |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fef723881909d8d57548461926f |
completed | April 5, 2026, 7:31 a.m. |
Created at: March 30, 2026, 8:43 p.m.