Triple
T6791471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Dongting |
E155941
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Li River (Hunan) |
E160794
|
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: Li River (Hunan) | Statement: [Lake Dongting, inflow, Li River (Hunan)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li River (Hunan) Context triple: [Lake Dongting, inflow, Li River (Hunan)]
-
A.
Li River (Hunan)
chosen
Li River (Hunan) is a scenic river flowing through China’s Hunan Province, known for its picturesque landscapes and regional ecological and cultural significance.
-
B.
Xiangxi River
The Xiangxi River is a tributary waterway in China that feeds into the Jialing River within the upper Yangtze River basin.
-
C.
Lian River
The Lian River is a significant river in southern China that serves as a major tributary within the Xiang River system, contributing to the hydrology of the broader Yangtze River basin.
-
D.
Liujiang River
The Liujiang River is a major river in Guangxi, China, known for flowing through Liuzhou and its surrounding karst landscapes.
-
E.
Liu River
The Liu River is a significant river in the Guangxi Zhuang Autonomous Region of southern China, known for flowing through the industrial city of Liuzhou and contributing to the region’s transportation and economy.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.