Triple
T8815534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donetsk Oblast |
E209766
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Sloviansk
Sloviansk is an industrial city in eastern Ukraine that has become widely known as a strategic hotspot in the Donbas region, especially during the ongoing conflict with Russia.
|
E820815
|
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: Sloviansk | Statement: [Donetsk Oblast, majorCity, Sloviansk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloviansk Context triple: [Donetsk Oblast, majorCity, Sloviansk]
-
A.
Kremenchuk
Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
-
B.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
C.
Khmilnyk
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
-
D.
Ivano-Frankivsk
Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
-
E.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
- 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: Sloviansk Triple: [Donetsk Oblast, majorCity, Sloviansk]
Generated description
Sloviansk is an industrial city in eastern Ukraine that has become widely known as a strategic hotspot in the Donbas region, especially during the ongoing conflict with Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sloviansk Target entity description: Sloviansk is an industrial city in eastern Ukraine that has become widely known as a strategic hotspot in the Donbas region, especially during the ongoing conflict with Russia.
-
A.
Kremenchuk
Kremenchuk is an industrial city in central Ukraine on the Dnieper River, historically significant as a major transport and strategic hub.
-
B.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
-
C.
Khmilnyk
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
-
D.
Ivano-Frankivsk
Ivano-Frankivsk is a historic city in western Ukraine known as a cultural, economic, and administrative center of the Carpathian region.
-
E.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
- 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ff2ff248190bafcafe8b3860e53 |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c3ed827c8190899cb2ae9561765e |
completed | April 5, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69d1c49053d08190b2bb5dc917785b6e |
completed | April 5, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c55139b88190bdebdb989ecc6a9d |
completed | April 5, 2026, 2:13 a.m. |
Created at: March 30, 2026, 6:45 p.m.