Triple
T5096750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanfei River |
E114884
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Anhui |
E13352
|
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: Anhui | Statement: [Nanfei River, region, Anhui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anhui Context triple: [Nanfei River, region, Anhui]
-
A.
Anhui
chosen
Anhui is an eastern Chinese province known for its role in revolutionary history, rich cultural heritage, and scenic landscapes such as the Huangshan (Yellow Mountain) range.
-
B.
Jiangsu
Jiangsu is a populous and economically significant coastal province in eastern China, known for its rich history, dense urbanization, and major cities such as Nanjing and Suzhou.
-
C.
Jiangxi Province
Jiangxi Province is an inland province in southeastern China known for its rich revolutionary history, porcelain production in Jingdezhen, and scenic landscapes such as Lushan Mountain and Poyang Lake.
-
D.
Huainan
Huainan is a prefecture-level industrial city in China's Anhui province, historically known for its coal mining and its location in the Huai River basin.
-
E.
Huaibei
Huaibei is a prefecture-level city in northern Anhui Province, China, known historically for its coal mining industry and growing diversified economy.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75669afc81908a8db897fe56eccd |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec363bfb88190a290b92d052a46ef |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:40 p.m.