Triple
T7728101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hui people |
E175182
|
entity |
| Predicate | associatedScript |
P16423
|
FINISHED |
| Object | Xiaoerjing |
E557529
|
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: Xiaoerjing | Statement: [Hui people, associatedScript, Xiaoerjing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiaoerjing Context triple: [Hui people, associatedScript, Xiaoerjing]
-
A.
Xiaoerjing
chosen
Xiaoerjing is an Arabic-based writing system historically used to transcribe Sinitic languages, especially by Muslim communities in China such as the Hui.
-
B.
Xiàogǎn
Xiàogǎn is a prefecture-level city in central China’s Hubei province, known for its historical significance and proximity to Wuhan.
-
C.
Bishu Shanzhuang
Bishu Shanzhuang is a vast Qing dynasty imperial summer resort and palace complex in Chengde, China, renowned for its landscaped gardens, lakes, and diverse architectural styles.
-
D.
Xierqi
Xierqi is a major technology and business hub in Beijing, known for its concentration of high-tech companies and convenient transportation links.
-
E.
Jingjing
Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70315e8e88190a5c7e5d2f2ef66bc |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b5275164819096678c019fdd4da4 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.