Triple
T8860164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waigaoqiao |
E210865
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Shanghai port system |
E48168
|
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: Shanghai port system | Statement: [Waigaoqiao, partOf, Shanghai port system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shanghai port system Context triple: [Waigaoqiao, partOf, Shanghai port system]
-
A.
Port of Shanghai
chosen
The Port of Shanghai is the world’s busiest container port and a major global shipping and logistics hub located at the mouth of the Yangtze River in eastern China.
-
B.
Waigaoqiao Port
Waigaoqiao Port is a major deep-water container and cargo port in Shanghai, China, serving as a key hub for international maritime trade.
-
C.
Zhoushan Port
Zhoushan Port is a major deep-water seaport in eastern China that serves as a key hub for maritime trade and shipping in the East China Sea.
-
D.
Yangshan Deep-Water Port
Yangshan Deep-Water Port is a major offshore container port complex near Shanghai, China, known as one of the world’s busiest and most advanced deep-water shipping hubs.
-
E.
Zhenjiang Port
Zhenjiang Port is a major river port on the Yangtze River in Jiangsu Province, China, serving as an important hub for regional trade and transportation.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8fef348190a25e978085e8e656 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:50 p.m.