Triple
T2699079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Nanking |
E58586
|
entity |
| Predicate | negotiatedBy |
P378
|
FINISHED |
| Object |
Qiying
Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
|
E291425
|
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: Qiying | Statement: [Treaty of Nanking, negotiatedBy, Qiying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qiying Context triple: [Treaty of Nanking, negotiatedBy, Qiying]
-
A.
Ying
Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
-
B.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
C.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
-
D.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
-
E.
Xue Yue
Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
- 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: Qiying Triple: [Treaty of Nanking, negotiatedBy, Qiying]
Generated description
Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qiying Target entity description: Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
-
A.
Ying
Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
-
B.
Yingqin
Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
-
C.
Zhenyuan
Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
-
D.
Jing Tian
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
-
E.
Xue Yue
Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf70f9088190acd4c8bd05deea47 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb045e304819080efecf2738453e6 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0ab2a8081909e729f883a7438d7 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.