Triple
T7781967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinnytsia Oblast |
E221541
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Khmilnyk
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
|
E708104
|
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: Khmilnyk | Statement: [Vinnytsia Oblast, containsCity, Khmilnyk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khmilnyk Context triple: [Vinnytsia Oblast, containsCity, Khmilnyk]
-
A.
Hlukhiv
Hlukhiv is a historic city in northern Ukraine that served as an important political and cultural center of the Cossack Hetmanate in the 18th century.
-
B.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
-
C.
Myrhorod
Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
-
D.
Vyshhorod
Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
-
E.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural 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: Khmilnyk Triple: [Vinnytsia Oblast, containsCity, Khmilnyk]
Generated description
Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khmilnyk Target entity description: Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
-
A.
Hlukhiv
Hlukhiv is a historic city in northern Ukraine that served as an important political and cultural center of the Cossack Hetmanate in the 18th century.
-
B.
Kropyvnytskyi
Kropyvnytskyi is a regional city in central Ukraine known as an important administrative, cultural, and transportation center.
-
C.
Myrhorod
Myrhorod is a historic city in central Ukraine, known for its mineral springs and as the setting of several stories by writer Nikolai Gogol.
-
D.
Vyshhorod
Vyshhorod is a historic town near Kyiv in northern Ukraine, known as a medieval residence of Kyivan Rus' princes and now an industrial and cultural center on the Dnieper River.
-
E.
Khmelnytskyi
Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cadf1dcc6c8190b3c6ee4ff7808e02 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc55cd2fa88190955c3c1cebea0cca |
completed | March 31, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69cc58a76b90819092de63b3b23e70af |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cfccc9c8190adcbaee96c17711e |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 4:21 p.m.