Triple
T945838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagestan |
E20410
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Buynaksk
Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
|
E122817
|
NE FINISHED |
How this triple was built (4 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: [Dagestan, hasMajorCity, Buynaksk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buynaksk Context triple: [Dagestan, hasMajorCity, Buynaksk]
-
A.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
-
B.
Urgench
Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
-
C.
Khasavyurt
Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
-
D.
Derbent
Derbent is an ancient fortified city in the Republic of Dagestan, Russia, strategically located on the Caspian Sea and known as one of the oldest continuously inhabited cities in the region.
-
E.
Karaganda
Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buynaksk Triple: [Dagestan, hasMajorCity, Buynaksk]
Generated description
Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buynaksk Target entity description: Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
-
A.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
-
B.
Urgench
Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
-
C.
Khasavyurt
Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
-
D.
Derbent
Derbent is an ancient fortified city in the Republic of Dagestan, Russia, strategically located on the Caspian Sea and known as one of the oldest continuously inhabited cities in the region.
-
E.
Karaganda
Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
- F. None of above. chosen
Provenance (5 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42851b8881908b2625e3cb34cb6c |
completed | March 7, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ac42f4d51c81908a39c05213da4633 |
completed | March 7, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac436720a88190b88ffd74956f5bf5 |
completed | March 7, 2026, 3:25 p.m. |
Created at: March 1, 2026, 7:40 p.m.