Triple
T18264879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 汉江 |
E437456
|
entity |
| Predicate | 跨越地形区 |
P103580
|
FINISHED |
| Object | 江汉平原 |
—
|
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: 江汉平原 | Statement: [汉江, 跨越地形区, 江汉平原]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 江汉平原 Context triple: [汉江, 跨越地形区, 江汉平原]
-
A.
Jianghan Plain
chosen
Jianghan Plain is a fertile alluvial plain in central China formed by the Yangtze and Han rivers, known as an important agricultural and densely populated region.
-
B.
黄陂
黄陂是中国湖北省武汉市下辖的一个区,位于长江中游北岸,以其悠久历史和城乡结合的区域特征而闻名。
-
C.
middle and lower Yangtze Plain
The middle and lower Yangtze Plain is a vast, fertile alluvial lowland in central-eastern China, characterized by dense river networks, extensive lakes, and some of the country’s most productive agricultural and densely populated regions.
-
D.
Dongting Lake Plain
Dongting Lake Plain is a fertile alluvial lowland in south-central China known for its extensive wetlands, rice cultivation, and role as a major floodplain of the Yangtze River system.
-
E.
长江武汉段
长江武汉段是指流经湖北省省会武汉市境内的长江河段,是重要的航运通道和城市景观带。
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.