Triple
T17659127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bila Tserkva Raion |
E440203
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Volodarka
Volodarka is an urban-type settlement in Kyiv Oblast, Ukraine, situated within the administrative boundaries of Bila Tserkva Raion.
|
E1283463
|
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: Volodarka | Statement: [Bila Tserkva Raion, containsSettlement, Volodarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volodarka Context triple: [Bila Tserkva Raion, containsSettlement, Volodarka]
-
A.
Grusinskaya
Grusinskaya is a fading but still celebrated Russian ballerina whose loneliness and vulnerability are central to the drama of the film "Grand Hotel."
-
B.
Bublava
Bublava is a small village and municipality in the Karlovy Vary Region of the Czech Republic, located near the German border in a mountainous, forested area.
-
C.
Volkova
Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
-
D.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
E.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
- 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: Volodarka Triple: [Bila Tserkva Raion, containsSettlement, Volodarka]
Generated description
Volodarka is an urban-type settlement in Kyiv Oblast, Ukraine, situated within the administrative boundaries of Bila Tserkva Raion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Volodarka Target entity description: Volodarka is an urban-type settlement in Kyiv Oblast, Ukraine, situated within the administrative boundaries of Bila Tserkva Raion.
-
A.
Grusinskaya
Grusinskaya is a fading but still celebrated Russian ballerina whose loneliness and vulnerability are central to the drama of the film "Grand Hotel."
-
B.
Bublava
Bublava is a small village and municipality in the Karlovy Vary Region of the Czech Republic, located near the German border in a mountainous, forested area.
-
C.
Volkova
Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
-
D.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
E.
Medveditsa
Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea469448190b2753571f8493aef |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023014a9d48190b7b5e86ce3bca3fd |
completed | May 11, 2026, 7:37 p.m. |
| NEDg | Description generation | batch_6a023111b1e4819088c9c7f499a73c5e |
completed | May 11, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02317519948190a2c3f1edc7c1a163 |
completed | May 11, 2026, 7:43 p.m. |
Created at: April 10, 2026, 9:39 a.m.