Triple
T4204719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Issyk-Kul Region |
E86155
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Cholpon-Ata |
E260338
|
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: Cholpon-Ata | Statement: [Issyk-Kul Region, hasMajorCity, Cholpon-Ata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cholpon-Ata Context triple: [Issyk-Kul Region, hasMajorCity, Cholpon-Ata]
-
A.
Cholpon-Ata
chosen
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.
-
B.
Karakol
Karakol is a town in eastern Kyrgyzstan near Lake Issyk-Kul, known as a gateway to the Tien Shan Mountains and a center for trekking and skiing.
-
C.
Ürümqi
Ürümqi is a major city in northwestern China that serves as the political, economic, and cultural center of the Xinjiang Uyghur Autonomous Region.
-
D.
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.
-
E.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0382eafc8190946bf45bf28095dd |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a84ffb18819081fcd4b258ccfedf |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 9, 2026, 3:49 p.m.