Triple
T21255271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buynaksky District |
E523851
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Buynaksk |
—
|
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: Buynaksk | Statement: [Buynaksky District, administrativeCenter, Buynaksk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buynaksk Context triple: [Buynaksky District, administrativeCenter, Buynaksk]
-
A.
Buynaksk
chosen
Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
-
B.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
-
C.
Yoshkar-Ola
Yoshkar-Ola is a city in central Russia that serves as the administrative, cultural, and economic center of the Mari El Republic.
-
D.
Panjikent
Panjikent was an important ancient Sogdian city in present-day Tajikistan, known for its well-preserved wall paintings and role as a Silk Road trading center.
-
E.
Bazar-Korgon
Bazar-Korgon is a town in southwestern Kyrgyzstan, known as a local administrative and market center in the Jalal-Abad Region.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0e7dc8190b591b5b6786ce619 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:58 p.m.