Triple
T8705033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiaogan |
E206626
|
entity |
| Predicate | pinyinName |
P9333
|
FINISHED |
| Object | Xiàogǎn |
E206626
|
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: Xiàogǎn | Statement: [Xiaogan, pinyinName, Xiàogǎn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiàogǎn Context triple: [Xiaogan, pinyinName, Xiàogǎn]
-
A.
Xiàogǎn
chosen
Xiàogǎn is a prefecture-level city in central China’s Hubei province, known for its historical significance and proximity to Wuhan.
-
B.
Xiaoerjing
Xiaoerjing is an Arabic-based writing system historically used to transcribe Sinitic languages, especially by Muslim communities in China such as the Hui.
-
C.
Xiao Ke
Xiao Ke was a prominent Chinese military leader and general of the People’s Liberation Army who played key roles in the Chinese Civil War and early PRC military development.
-
D.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
-
E.
Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fb43f081909df5d1e31cb1ec04 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef423b1c4819081ea887af8f8e576 |
completed | April 2, 2026, 10:56 p.m. |
Created at: March 30, 2026, 6:34 p.m.