Triple
T15499670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaoguan |
E378915
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Shaozhou |
E382174
|
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: Shaozhou | Statement: [Shaoguan, historicalName, Shaozhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaozhou Context triple: [Shaoguan, historicalName, Shaozhou]
-
A.
Haozhou
Haozhou is a historical city in China, known as the birthplace of the Hongwu Emperor, founder of the Ming dynasty.
-
B.
Shanwei
Shanwei is a coastal city in eastern Guangdong Province, China, known for its fishing industry and location along major transportation routes on the South China Sea.
-
C.
Huizhou
Huizhou is a historic cultural and commercial region in southeastern China, famed for its distinctive Huizhou architecture, merchant culture, and influential role in the development of Huizhou (Xin'an) Neo-Confucianism.
-
D.
Qingyuan
chosen
Qingyuan is a prefecture-level city in northern Guangdong Province, China, known for its karst landscapes, hot springs, and role as a regional transport hub near the Pearl River Delta.
-
E.
Lianzhou
Lianzhou is a town-level settlement located within Doumen District of Zhuhai in Guangdong Province, 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e376f08190b5ae9793a0381204 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 3:54 a.m.