Triple
T17325726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naryn Region |
E420681
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Naryn |
—
|
NE NERFINISHED |
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: Naryn | Statement: [Naryn Region, hasCity, Naryn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naryn Context triple: [Naryn Region, hasCity, Naryn]
-
A.
Naryn
chosen
Naryn is a town in central Kyrgyzstan known for its high-altitude location in the Tian Shan mountains and its role as an administrative and cultural center of the Naryn Region.
-
B.
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.
-
C.
Naryn Region
Naryn Region is a large, sparsely populated administrative region in central Kyrgyzstan known for its high mountain landscapes, pastures, and traditional nomadic culture.
-
D.
Temirtau
Temirtau is a major industrial city in Kazakhstan, best known for its large steel production complex and heavy metallurgical industry.
-
E.
Байқоңыр
Байқоңыр — это город в Казахстане, известный прежде всего благодаря расположенному рядом космодрому, одному из главных мировых центров космических запусков.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
Created at: April 10, 2026, 5:43 a.m.