Triple
T18238517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 晴川阁 |
E436744
|
entity |
| Predicate | 所在省份 |
P26493
|
FINISHED |
| Object | 湖北省 |
—
|
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: 湖北省 | Statement: [晴川阁, 所在省份, 湖北省]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 湖北省 Context triple: [晴川阁, 所在省份, 湖北省]
-
A.
Hubei Province
chosen
Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
-
B.
湖北省部分地区
湖北省部分地区是中国中部湖北省内使用湘语方言的若干区域，主要分布在与湖南接壤的毗邻地带。
-
C.
northwestern Hubei Province
Northwestern Hubei Province is a mountainous region of central China known for its rugged terrain, river valleys, and the Danjiangkou Reservoir, an important water source for the South–North Water Transfer Project.
-
D.
Xingxian, Hubei
Xingxian, Hubei is a locality in China historically notable as the birthplace of the Ming dynasty Jiajing Emperor.
-
E.
Zhongxiang, Hubei
Zhongxiang, Hubei is a county-level city in central China known for its historical sites, including the Ming-era Xianling Mausoleum complex.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e0a0ac819090d48ae45b1ebfc9 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.