Triple
T5978564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Shu |
E133061
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Ürümqi |
E138505
|
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: Ürümqi | Statement: [Wang Shu, placeOfBirth, Ürümqi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ürümqi Context triple: [Wang Shu, placeOfBirth, Ürümqi]
-
A.
Ürümqi
chosen
Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
-
B.
Tokmok
Tokmok is a small city in northern Kyrgyzstan, near the border with Kazakhstan, known as an industrial and agricultural center in the Chüy Valley.
-
C.
Cholpon-Ata
Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
-
D.
Syktyvkar
Syktyvkar is the capital city of the Komi Republic in northwestern Russia, known as an administrative, cultural, and economic center of the region.
-
E.
Zhetysu
Zhetysu is a historic region of Central Asia, largely in southeastern Kazakhstan, known for its fertile river valleys, including that of the Ili River, and its role as a crossroads on the Silk Road.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3e686c81908910c0881ac1624d |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cd3988c8190aecc690a02c26c25 |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:04 p.m.