Triple
T3408123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liaoning |
E71823
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Dalian Port |
E146531
|
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: Dalian Port | Statement: [Liaoning, hasMajorPort, Dalian Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalian Port Context triple: [Liaoning, hasMajorPort, Dalian Port]
-
A.
Port of Dalian
chosen
The Port of Dalian is a major deep-water seaport in northeastern China that serves as a key gateway for international trade and shipping in the Bohai Sea region.
-
B.
Port of Qinhuangdao
The Port of Qinhuangdao is one of China's largest and busiest coal-exporting seaports, strategically located on the Bohai Sea and serving as a key hub for maritime trade in northern China.
-
C.
Yantai Port
Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
-
D.
Port of Qingdao
The Port of Qingdao is one of the world’s busiest and most important seaports, serving as a major international trade and shipping hub on China’s Yellow Sea coast.
-
E.
Port of Shanghai
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.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdaf06c8190a8102a4e3c728066 |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.