Triple
T14016558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viceroy of Zhili |
E337217
|
entity |
| Predicate | hasNotableOfficeHolder |
P537
|
FINISHED |
| Object | Ronglu |
E590201
|
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: Ronglu | Statement: [Viceroy of Zhili, hasNotableOfficeHolder, Ronglu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronglu Context triple: [Viceroy of Zhili, hasNotableOfficeHolder, Ronglu]
-
A.
Ronglu
chosen
Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
-
B.
Chongde
Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
-
C.
Muzong
Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
-
D.
Huanwu
Huanwu is the given name of Peng Huanwu, a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics.
-
E.
Jianyan
Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.