Triple
T23289277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qingdao Port International Co., Ltd. |
E589980
|
entity |
| Predicate | hasMainPort |
P942
|
FINISHED |
| Object | Qingdao Port |
—
|
NE NERFINISHED |
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: Qingdao Port | Statement: [Qingdao Port International Co., Ltd., hasMainPort, Qingdao Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qingdao Port Context triple: [Qingdao Port International Co., Ltd., hasMainPort, Qingdao Port]
-
A.
Port of Qingdao
chosen
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.
-
B.
Yantai Port
Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
-
C.
Longkou Port
Longkou Port is a major coastal seaport in Shandong Province, China, serving as an important hub for regional trade and maritime transportation across the Bohai Sea.
-
D.
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.
-
E.
Taishan Port
Taishan Port is a regional seaport serving Taishan City in Guangdong Province, China, supporting local industry and maritime trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964a4c548190bda1e85b8d316e8a |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5:01 p.m.