Triple
T22542963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanning railway station |
E557341
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Fangchenggang |
—
|
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: Fangchenggang | Statement: [Nanning railway station, connectsTo, Fangchenggang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fangchenggang Context triple: [Nanning railway station, connectsTo, Fangchenggang]
-
A.
Fangchenggang
chosen
Fangchenggang is a coastal prefecture-level city in southern China known for its port on the Gulf of Tonkin and proximity to the Vietnam border.
-
B.
Lianyungang
Lianyungang is a major coastal city and seaport in eastern China, serving as an important transportation and trade hub on the Yellow Sea.
-
C.
Longkou
Longkou is a coastal city in northeastern Shandong Province, China, known for its port, marine-based industries, and production of Longkou vermicelli.
-
D.
Dongyang
Dongyang is a county-level city in central Zhejiang Province, China, known for its woodcarving tradition and as part of the Jinhua metropolitan area.
-
E.
Kaiping
Kaiping is a county-level city in Guangdong Province, China, known for its distinctive diaolou watchtowers and as part of the Sze Yup region with a strong overseas Chinese heritage.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f330a40819098df6a9b0f27635e |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.