Triple
T15160945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhu Gaochi |
E362213
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Yingtian Prefecture |
E190202
|
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: Yingtian Prefecture | Statement: [Zhu Gaochi, birthPlace, Yingtian Prefecture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yingtian Prefecture Context triple: [Zhu Gaochi, birthPlace, Yingtian Prefecture]
-
A.
Xingqing Prefecture
Xingqing Prefecture was the principal political and cultural center of the Western Xia dynasty, located in what is now Yinchuan in China’s Ningxia region.
-
B.
Jianye
chosen
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
C.
Yongcheng
Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
-
D.
Wuwei City
Wuwei City is a prefecture-level city in central Gansu Province, China, historically known as a key stop on the ancient Silk Road.
-
E.
Liuzhi Special District
Liuzhi Special District is an administrative district under the jurisdiction of Liupanshui City in Guizhou Province, China, known for its mountainous terrain and coal resources.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffc94e48190844e226c245a9ce3 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:08 a.m.