Triple
T17614535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Yijun |
E429048
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Dingling Mausoleum |
—
|
NE NERFINISHED |
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: Dingling Mausoleum | Statement: [Zhu Yijun, burialPlace, Dingling Mausoleum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dingling Mausoleum Context triple: [Zhu Yijun, burialPlace, Dingling Mausoleum]
-
A.
Dingling Mausoleum
chosen
Dingling Mausoleum is an imperial tomb complex in Beijing that serves as the burial site of the Ming dynasty Wanli Emperor and his consorts.
-
B.
Xianling Mausoleum
Xianling Mausoleum is the imperial tomb complex of Emperor Gaozu, the founding ruler of China’s Tang dynasty.
-
C.
Xianling Mausoleum
Xianling Mausoleum is the imperial tomb complex in China where the Ming dynasty Hongxi Emperor is interred.
-
D.
Xiaoling Mausoleum
Xiaoling Mausoleum is the imperial tomb complex near Shenyang, China, that serves as the burial site of the Shunzhi Emperor and is part of the UNESCO-listed Eastern Qing Tombs.
-
E.
Jingling Mausoleum
Jingling Mausoleum is an imperial Ming dynasty tomb complex near Nanjing, China, best known as the burial site of the Xuande Emperor Zhu Zhanji.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d2fd96481908c9f3b566fca6907 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.