Triple
T10559079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donghai Bridge |
E249165
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Yangshan Port |
E712497
|
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: Yangshan Port | Statement: [Donghai Bridge, regionServed, Yangshan Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yangshan Port Context triple: [Donghai Bridge, regionServed, Yangshan Port]
-
A.
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.
-
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.
Xiuying Port
Xiuying Port is a major seaport and transportation hub in Haikou, Hainan, serving as a key gateway for passenger and cargo traffic between the island and mainland China.
-
D.
Yangshan Deep-Water Port
chosen
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.
Futian Port
Futian Port is a major land border crossing and transportation hub between Shenzhen, China and Hong Kong, facilitating significant passenger and cargo movement.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271e65688190bcf7931373d87f94 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9988fca088190b13b651985677a6a |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 12:35 p.m.