Triple
T17742313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhujiang |
E442890
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Guangzhou 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: Guangzhou port | Statement: [Zhujiang, associatedWith, Guangzhou port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guangzhou port Context triple: [Zhujiang, associatedWith, Guangzhou port]
-
A.
Port of Guangzhou
chosen
The Port of Guangzhou is one of China’s largest and busiest seaports, serving as a major hub for international trade and shipping in the Pearl River Delta region.
-
B.
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.
-
C.
Nansha Port
Nansha Port is a major deep-water seaport in Guangzhou, China, serving as a key container and logistics hub in the Pearl River Delta region.
-
D.
Zhanjiang Port
Zhanjiang Port is a key deep-water seaport and major shipping hub in Guangdong Province, serving as an important gateway for trade in southern China.
-
E.
Shantou Port
Shantou Port is a major coastal seaport in Guangdong Province, China, serving as an important hub for regional trade and maritime transportation.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ace58988190b927ca29af7a8b77 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.