Triple
T7069883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu River |
E164658
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Liuzhou |
E409688
|
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: Liuzhou | Statement: [Liu River, hasCityOnBank, Liuzhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liuzhou Context triple: [Liu River, hasCityOnBank, Liuzhou]
-
A.
Liuzhou
chosen
Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
-
B.
Wuzhou
Wuzhou is a prefecture-level city in eastern Guangxi, China, known as a regional transport hub and commercial center along the Xi River.
-
C.
Guigang
Guigang is a prefecture-level city in southeastern Guangxi, China, known as a regional transport hub and commercial center along the Xun River.
-
D.
Qinzhou
Qinzhou is a coastal prefecture-level city in southern China known for its port, maritime industries, and location along the Gulf of Tonkin in the Guangxi Zhuang Autonomous Region.
-
E.
Nanning
Nanning is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a key economic hub and “Green City” in the Lingnan cultural area.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4aa82108190bacd5584c1c78999 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31a43b481908e535afc393b242a |
completed | March 28, 2026, 9:44 a.m. |
Created at: March 27, 2026, 2:39 p.m.