Triple
T9629808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shunpanrō |
E232567
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
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.
|
E810622
|
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: 春帆楼 | Statement: [Shunpanrō, hasNameInJapanese, 春帆楼]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 春帆楼 Context triple: [Shunpanrō, hasNameInJapanese, 春帆楼]
-
A.
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。
-
B.
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。
-
C.
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.
-
D.
沙面岛
沙面岛是位于中国广州珠江中的一座历史文化小岛，以其保存完好的欧陆风情建筑群和曾为多国租界的独特殖民历史而闻名。
-
E.
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。
- 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: 春帆楼 Triple: [Shunpanrō, hasNameInJapanese, 春帆楼]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 春帆楼 Target entity description: 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.
-
A.
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。
-
B.
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。
-
C.
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.
-
D.
沙面岛
沙面岛是位于中国广州珠江中的一座历史文化小岛，以其保存完好的欧陆风情建筑群和曾为多国租界的独特殖民历史而闻名。
-
E.
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。
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b01863c8190a9ec4684804f96bc |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1798bf4f081908fd3731783e441c1 |
completed | April 4, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d17bf818208190b34f8475b013829a |
completed | April 4, 2026, 9 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17c597c608190b7a589e3781dc9dd |
completed | April 4, 2026, 9:02 p.m. |
Created at: March 30, 2026, 8:10 p.m.