Triple
T2212634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beiyang Fleet |
E50951
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Ding Ruchang |
E62836
|
NE FINISHED |
How this triple was built (2 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: Ding Ruchang | Statement: [Beiyang Fleet, commander, Ding Ruchang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ding Ruchang Context triple: [Beiyang Fleet, commander, Ding Ruchang]
-
A.
Ding Ruchang
chosen
Ding Ruchang was a late Qing dynasty Chinese naval officer best known for leading the Beiyang Fleet during the First Sino-Japanese War.
-
B.
Tang Shengzhi
Tang Shengzhi was a Chinese Nationalist general best known for his controversial leadership during the Second Sino-Japanese War, particularly in the defense and fall of Nanjing in 1937.
-
C.
Sheng Xuanhuai
Sheng Xuanhuai was a late Qing dynasty Chinese industrialist and statesman who played a key role in China's early modernization, particularly in industry, commerce, and education.
-
D.
Zeng Liansong
Zeng Liansong was a Chinese designer best known for creating the national flag of the People's Republic of China.
-
E.
Yin Jichang
Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfee6ae48190825ca792e8f99946 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af834e87b48190b3299c70a0679b47 |
completed | March 10, 2026, 2:34 a.m. |
Created at: March 4, 2026, 7:46 p.m.