Triple
T17295548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelyabinsk Oblast |
E419900
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Kopeysk
Kopeysk is an industrial city in Russia known for its coal mining history and location near the regional center of Chelyabinsk in the Ural region.
|
E1314934
|
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: Kopeysk | Statement: [Chelyabinsk Oblast, hasCity, Kopeysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kopeysk Context triple: [Chelyabinsk Oblast, hasCity, Kopeysk]
-
A.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
B.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
C.
Shadrinsk
Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
-
D.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
E.
Kalyazin
Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
- 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: Kopeysk Triple: [Chelyabinsk Oblast, hasCity, Kopeysk]
Generated description
Kopeysk is an industrial city in Russia known for its coal mining history and location near the regional center of Chelyabinsk in the Ural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kopeysk Target entity description: Kopeysk is an industrial city in Russia known for its coal mining history and location near the regional center of Chelyabinsk in the Ural region.
-
A.
Alapayevsk
Alapayevsk is a small industrial city in Russia’s Ural region, historically known for its metallurgical plants and as the site of the 1918 execution of several Romanov family members.
-
B.
Kamensk-Uralsky
Kamensk-Uralsky is an industrial city in Russia’s Ural region, known for its metallurgical plants and strategic location on the Iset River.
-
C.
Shadrinsk
Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
-
D.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
E.
Kalyazin
Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
- 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_6a03b3dc7df08190a6c3a2d15f733b52 |
completed | May 12, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_6a03b4e282b88190a572e46468a9119f |
completed | May 12, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b58052a48190b4e6afb5098c3e51 |
completed | May 12, 2026, 11:19 p.m. |
Created at: April 10, 2026, 5:40 a.m.