Triple
T9313558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minsk Region |
E224062
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Soligorsk
Soligorsk is an industrial city in Belarus known for its large potash mining operations and location in the southern part of the Minsk Region.
|
E833266
|
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: Soligorsk | Statement: [Minsk Region, contains, Soligorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soligorsk Context triple: [Minsk Region, contains, Soligorsk]
-
A.
Volokolamsk
Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
-
B.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Cherepovets
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
-
E.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
- 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: Soligorsk Triple: [Minsk Region, contains, Soligorsk]
Generated description
Soligorsk is an industrial city in Belarus known for its large potash mining operations and location in the southern part of the Minsk Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soligorsk Target entity description: Soligorsk is an industrial city in Belarus known for its large potash mining operations and location in the southern part of the Minsk Region.
-
A.
Volokolamsk
Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
-
B.
Pervouralsk
Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
-
C.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
D.
Cherepovets
Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
-
E.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2572f5ccc81909f967dc69a8ae260 |
completed | April 5, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 7:37 p.m.