Triple
T10058899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongguan |
E208932
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 东莞 |
E208932
|
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: 东莞 | Statement: [Dongguan, hasChineseName, 东莞]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 东莞 Context triple: [Dongguan, hasChineseName, 东莞]
-
A.
Dongguan
chosen
Dongguan is a major manufacturing and industrial city in Guangdong Province, China, known for its role in the Pearl River Delta economic region.
-
B.
Foshan
Foshan is a major industrial and cultural city in southern China known for its manufacturing, Cantonese opera, and martial arts heritage.
-
C.
Zengcheng District
Zengcheng District is an eastern suburban district of Guangzhou, China, known for its rapid urban development and lychee production.
-
D.
Zhaoqing
Zhaoqing is a historic city in Guangdong Province, China, known for its scenic karst landscapes, lakes, and cultural heritage.
-
E.
Zhongshan
Zhongshan is a prefecture-level city in Guangdong Province, southern China, known for its manufacturing industry and as the birthplace of revolutionary leader Sun Yat-sen.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfb0f17c8190a8c0cfb02863537d |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5d4b308190b5b1ece1ca99be86 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.