Triple
T22741918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donggang Port |
E562435
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Donggang urban area |
—
|
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: Donggang urban area | Statement: [Donggang Port, near, Donggang urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donggang urban area Context triple: [Donggang Port, near, Donggang urban area]
-
A.
Dongsheng urban area
Dongsheng urban area is the main urban center and administrative heart of Ordos in Inner Mongolia, China.
-
B.
Donggang District
Donggang District is the central urban district and administrative seat of the coastal city of Rizhao in Shandong Province, China.
-
C.
Gangnan urban area
Gangnan urban area is the main built-up district of Guigang, a prefecture-level city in the Guangxi Zhuang Autonomous Region of southern China.
-
D.
Gangbei urban area
Gangbei urban area is the main built-up urban district of Guigang, a prefecture-level city in the Guangxi Zhuang Autonomous Region of southern China.
-
E.
Donggang
chosen
Donggang is a county-level coastal city in southeastern Liaoning Province, China, known for its fishing industry and proximity to the North Korean border.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.