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.