Triple
T19266280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhangjiagang |
E481787
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Zhangjiagang 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: Zhangjiagang Port | Statement: [Zhangjiagang, hasPort, Zhangjiagang Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhangjiagang Port Context triple: [Zhangjiagang, hasPort, Zhangjiagang Port]
-
A.
Zhenjiang Port
Zhenjiang Port is a major river port on the Yangtze River in Jiangsu Province, China, serving as an important hub for regional trade and transportation.
-
B.
Jiangyin Port
Jiangyin Port is a major river port on the Yangtze River in Jiangsu Province, China, serving as an important hub for regional trade and shipping.
-
C.
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.
-
D.
Port of Zhangjiagang
chosen
The Port of Zhangjiagang is a major deep-water river port in Jiangsu Province, China, serving as an important hub for international trade and shipping along the lower Yangtze River.
-
E.
Taicang Port
Taicang Port is a major deep-water seaport on the Yangtze River near Shanghai, serving as an important hub for international container and bulk cargo shipping in eastern China.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8d58988190a942627b1fb79285 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:29 p.m.