Triple
T6843631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangshan (city) |
E157836
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Huizhou District |
E672168
|
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: Huizhou District | Statement: [Huangshan (city), contains, Huizhou District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huizhou District Context triple: [Huangshan (city), contains, Huizhou District]
-
A.
Huizhou District
chosen
Huizhou District is an administrative district of Huangshan City in Anhui Province, China, known for its historic Huizhou culture and traditional architecture.
-
B.
Xiangzhou District
Xiangzhou District is the central urban district of Zhuhai in Guangdong Province, China, known for its government, commercial, and coastal areas facing Macau.
-
C.
Haizhu District
Haizhu District is a central urban district of Guangzhou, China, known for its mix of residential areas, commercial centers, and cultural sites along the Pearl River.
-
D.
Xinbei District
Xinbei District is a major urban district and economic hub of Changzhou in Jiangsu Province, China, known for its modern development and industrial zones.
-
E.
Pingshan District
Pingshan District is an administrative district in the eastern part of Shenzhen, China, known for its emerging high-tech industries and rapid urban development.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861218ac081909798edadae16162f |
completed | March 28, 2026, 11:15 p.m. |
Created at: March 27, 2026, 2:19 p.m.