Triple
T18181971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qinzhou |
E435308
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Qinzhou 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: Qinzhou Port | Statement: [Qinzhou, hasPort, Qinzhou Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qinzhou Port Context triple: [Qinzhou, hasPort, Qinzhou Port]
-
A.
Qinzhou Port
chosen
Qinzhou Port is a major seaport and logistics hub on the Beibu Gulf in southern China, serving as a key gateway for trade between western China and Southeast Asia.
-
B.
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.
-
C.
Xiuying Port
Xiuying Port is a major seaport and transportation hub in Haikou, Hainan, serving as a key gateway for passenger and cargo traffic between the island and mainland China.
-
D.
Fangchenggang Port
Fangchenggang Port is a major deep-water seaport in Guangxi, southern China, serving as an important hub for regional trade and maritime transport near the border with Vietnam.
-
E.
Taizhou Port
Taizhou Port is a coastal Chinese seaport serving as a key regional hub for maritime trade and transportation in and around Taizhou.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffb3bc88190a627be9c444d5c7d |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.