Triple
T7320918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sverdlovsk Oblast |
E168541
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Polevskoy
Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
|
E659595
|
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: Polevskoy | Statement: [Sverdlovsk Oblast, hasCity, Polevskoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polevskoy Context triple: [Sverdlovsk Oblast, hasCity, Polevskoy]
-
A.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
B.
Pyotr Basin
Pyotr Basin was a Russian painter known for his large-scale historical and religious works, some of which adorn Saint Isaac's Cathedral in Saint Petersburg.
-
C.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
D.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
E.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
- 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: Polevskoy Triple: [Sverdlovsk Oblast, hasCity, Polevskoy]
Generated description
Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polevskoy Target entity description: Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
-
A.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
B.
Pyotr Basin
Pyotr Basin was a Russian painter known for his large-scale historical and religious works, some of which adorn Saint Isaac's Cathedral in Saint Petersburg.
-
C.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
D.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
E.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
- 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_69c802ae19d88190a2f7997a6f3dfb1e |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c8039e1aa0819090a4a336c2f85583 |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803fc447c8190b1d16b47c90f982b |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:02 p.m.