Triple
T18014905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fangchenggang |
E430975
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Qinzhou |
—
|
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 | Statement: [Fangchenggang, locatedNear, Qinzhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qinzhou Context triple: [Fangchenggang, locatedNear, Qinzhou]
-
A.
Qinzhou
chosen
Qinzhou is a coastal prefecture-level city in southern China known for its port, maritime industries, and location along the Gulf of Tonkin in the Guangxi Zhuang Autonomous Region.
-
B.
Liuzhou
Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
-
C.
Maoming
Maoming is a coastal city in southwestern Guangdong, China, known for its petrochemical industry and agricultural production, especially lychees and longans.
-
D.
Wuzhou
Wuzhou is a prefecture-level city in eastern Guangxi, China, known as a regional transport hub and commercial center along the Xi River.
-
E.
Guigang
Guigang is a prefecture-level city in southeastern Guangxi, China, known as a regional transport hub and commercial center along the Xun River.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b522e84c8190a03f6445df9f5ac8 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.