Triple
T7320937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sverdlovsk Oblast |
E168541
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Verkhnyaya Sinyachikha
Verkhnyaya Sinyachikha is an urban locality in Russia situated within Sverdlovsk Oblast in the Ural region.
|
E657608
|
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: Verkhnyaya Sinyachikha | Statement: [Sverdlovsk Oblast, hasCity, Verkhnyaya Sinyachikha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verkhnyaya Sinyachikha Context triple: [Sverdlovsk Oblast, hasCity, Verkhnyaya Sinyachikha]
-
A.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
B.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
C.
Shakhty
Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
-
D.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
E.
Cheremkhovo
Cheremkhovo is a mining and industrial city in southeastern Siberia, Russia, known historically for its coal production.
- 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: Verkhnyaya Sinyachikha Triple: [Sverdlovsk Oblast, hasCity, Verkhnyaya Sinyachikha]
Generated description
Verkhnyaya Sinyachikha is an urban locality in Russia situated within Sverdlovsk Oblast in the Ural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verkhnyaya Sinyachikha Target entity description: Verkhnyaya Sinyachikha is an urban locality in Russia situated within Sverdlovsk Oblast in the Ural region.
-
A.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
B.
Ksudach
Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
-
C.
Shakhty
Shakhty is an industrial city in southwestern Russia known historically for its coal mining and located within Rostov Oblast.
-
D.
Ozyornaya
Ozyornaya is a Moscow Metro station on the Kalininsko–Solntsevskaya Line serving the western part of the city.
-
E.
Cheremkhovo
Cheremkhovo is a mining and industrial city in southeastern Siberia, Russia, known historically for its coal production.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1ba58481909cfb5030b85f385a |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef01ea8c819091cd4106039c121e |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef7f7b7c8190b3361cc01b2eefc0 |
completed | March 28, 2026, 3:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f380dbe48190933e1eeff109185d |
completed | March 28, 2026, 3:28 p.m. |
Created at: March 27, 2026, 3:02 p.m.