Triple
T7320921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sverdlovsk Oblast |
E168541
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Karpinsk
Karpinsk is a small industrial town in Russia’s Sverdlovsk Oblast, located in the northern Ural region and historically associated with coal mining and energy production.
|
E657605
|
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: Karpinsk | Statement: [Sverdlovsk Oblast, hasCity, Karpinsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karpinsk Context triple: [Sverdlovsk Oblast, hasCity, Karpinsk]
-
A.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
B.
Kovel
Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
-
C.
Zawichost
Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
-
D.
Krasnystaw
Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
-
E.
Mikolow
Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
- 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: Karpinsk Triple: [Sverdlovsk Oblast, hasCity, Karpinsk]
Generated description
Karpinsk is a small industrial town in Russia’s Sverdlovsk Oblast, located in the northern Ural region and historically associated with coal mining and energy production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karpinsk Target entity description: Karpinsk is a small industrial town in Russia’s Sverdlovsk Oblast, located in the northern Ural region and historically associated with coal mining and energy production.
-
A.
Kotelniki
Kotelniki is a Moscow Metro station serving as the southeastern terminus of the Tagansko–Krasnopresnenskaya Line in the town of Kotelniki, just outside Moscow.
-
B.
Kovel
Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
-
C.
Zawichost
Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
-
D.
Krasnystaw
Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
-
E.
Mikolow
Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
- 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.