Triple
T16789175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaowu River |
E408059
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Shaowu |
E401067
|
NE FINISHED |
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: Shaowu | Statement: [Shaowu River, flowsThrough, Shaowu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaowu Context triple: [Shaowu River, flowsThrough, Shaowu]
-
A.
Shaowu
chosen
Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
-
B.
Shenfeng
Shenfeng was a historical Chinese era name used during the reign of Sun Quan, ruler of Eastern Wu in the Three Kingdoms period.
-
C.
Shen
Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
-
D.
Kwu Tung
Kwu Tung is a developing area in Hong Kong’s New Territories known for its planned new town, residential projects, and transport links including a future MTR station.
-
E.
Xingzhen
Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a50e18819090a30e1f38e520e0 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28970748190836806c68ad9e230 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.