Triple
T20968151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hokkien people |
E516422
|
entity |
| Predicate | historicalCenter |
P2536
|
FINISHED |
| Object | Zhangzhou 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: Zhangzhou port | Statement: [Hokkien people, historicalCenter, Zhangzhou port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhangzhou port Context triple: [Hokkien people, historicalCenter, Zhangzhou port]
-
A.
Zhangzhou Port
chosen
Zhangzhou Port is a coastal seaport in Fujian Province, China, serving as a regional hub for maritime trade and transportation.
-
B.
Fuzhou Port
Fuzhou Port is a key seaport and shipping hub in Fujian Province that supports international trade and regional economic activity in southern China.
-
C.
Jinjiang Port
Jinjiang Port is a coastal commercial port in Jinjiang, Fujian Province, China, serving as a regional hub for maritime trade and logistics.
-
D.
Taizhou Port
Taizhou Port is a coastal Chinese seaport serving as a key regional hub for maritime trade and transportation in and around Taizhou.
-
E.
Huizhou Port
Huizhou Port is a major coastal seaport in Guangdong Province, China, serving as an important hub for regional trade and industrial shipping.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:40 p.m.