Triple
T17295550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelyabinsk Oblast |
E419900
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Snezhinsk
Snezhinsk is a closed Russian nuclear research city in Chelyabinsk Oblast, known for its role in the development of nuclear weapons and related technologies.
|
E1323719
|
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: Snezhinsk | Statement: [Chelyabinsk Oblast, hasCity, Snezhinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snezhinsk Context triple: [Chelyabinsk Oblast, hasCity, Snezhinsk]
-
A.
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
-
B.
Rumyantsevo
Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
-
C.
Yelizovo
Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
-
D.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
E.
Yasenevo
Yasenevo is a Moscow Metro station serving the Yasenevo District in the south-western part of Moscow, Russia.
- 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: Snezhinsk Triple: [Chelyabinsk Oblast, hasCity, Snezhinsk]
Generated description
Snezhinsk is a closed Russian nuclear research city in Chelyabinsk Oblast, known for its role in the development of nuclear weapons and related technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snezhinsk Target entity description: Snezhinsk is a closed Russian nuclear research city in Chelyabinsk Oblast, known for its role in the development of nuclear weapons and related technologies.
-
A.
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
-
B.
Rumyantsevo
Rumyantsevo is a Moscow Metro station serving the southwestern part of the city near the Troparevo-Nikulino area.
-
C.
Yelizovo
Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
-
D.
Petrovskoye
Petrovskoye was the original Russian fortress settlement that later developed into the modern city of Makhachkala in Dagestan, Russia.
-
E.
Yasenevo
Yasenevo is a Moscow Metro station serving the Yasenevo District in the south-western part of Moscow, Russia.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f08ba3308190bf0c338969717e28 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1f144988190b2201c0f7c2464de |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f356e48c81908d74414b736303a4 |
completed | May 13, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:40 a.m.