Triple
T2345981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baoshan District |
E45131
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baoshan Port |
E210865
|
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: Baoshan Port | Statement: [Baoshan District, contains, Baoshan Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baoshan Port Context triple: [Baoshan District, contains, Baoshan Port]
-
A.
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.
-
B.
Yantai Port
Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
-
C.
Rizhao Port
Rizhao Port is a major deep-water seaport on the coast of Shandong Province in eastern China, serving as an important hub for bulk cargo and international trade.
-
D.
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.
-
E.
Waigaoqiao
chosen
Waigaoqiao is a subdistrict in Shanghai known for its major port facilities and role in the city’s free trade and industrial zones.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c7cb9481909405aeb503f804ae |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9628059481909c96a7661bc87a73 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.