Triple
T10284098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivne Oblast |
E241181
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kostopil
Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
|
E854598
|
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: Kostopil | Statement: [Rivne Oblast, contains, Kostopil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kostopil Context triple: [Rivne Oblast, contains, Kostopil]
-
A.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
B.
Konotop
Konotop is a historic city in northeastern Ukraine, known for the 1659 Battle of Konotop and its role as a regional railway and industrial center.
-
C.
Horlivka
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
D.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
E.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
- 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: Kostopil Triple: [Rivne Oblast, contains, Kostopil]
Generated description
Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kostopil Target entity description: Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
-
A.
Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
-
B.
Konotop
Konotop is a historic city in northeastern Ukraine, known for the 1659 Battle of Konotop and its role as a regional railway and industrial center.
-
C.
Horlivka
Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
-
D.
Kremenets
Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
-
E.
Kostiantynivka
Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d0b40d081908eb3f7ba24352a42 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d71f76e3cc8190b21a5fe8825caa2b |
completed | April 9, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7319938ec8190a4a1a5f09832e3e3 |
completed | April 9, 2026, 4:56 a.m. |
Created at: April 6, 2026, 11:39 a.m.