Triple
T5102422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giga Shanghai |
E115010
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Shanghai port |
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 | Statement: [Giga Shanghai, locatedNear, Shanghai port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shanghai port Context triple: [Giga Shanghai, locatedNear, Shanghai port]
-
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.
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.
-
C.
Beihai Port
Beihai Port is a major seaport on the southern coast of China that serves as an important maritime gateway for trade in the Beibu Gulf region.
-
D.
Yantai Port
Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
-
E.
Port of Shenzhen
The Port of Shenzhen is one of the world’s busiest and most important container ports, serving as a major gateway for China’s international trade and manufacturing exports.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe4e829c819092acbc078e552d75 |
completed | March 21, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:41 p.m.