Triple

T20973648
Position Surface form Disambiguated ID Type / Status
Subject Vovchansk region E516567 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Vovchansk
Vovchansk is a small city in northeastern Ukraine, located near the Russian border in Kharkiv Oblast.
E1460971 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: Vovchansk | Statement: [Vovchansk region, hasAdministrativeCenter, Vovchansk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vovchansk
Context triple: [Vovchansk region, hasAdministrativeCenter, Vovchansk]
  • A. Kostiantynivka
    Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
  • B. Ruzhyn
    Ruzhyn is an urban-type settlement in central Ukraine, historically part of Zhytomyr Oblast and now administered within Bila Tserkva Raion of Kyiv Oblast.
  • C. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • D. Novovolynsk
    Novovolynsk is an industrial city in western Ukraine known for its coal mining history and location within Volyn Oblast near the Polish border.
  • E. Yaremche
    Yaremche is a picturesque resort town in western Ukraine’s Carpathian Mountains, known for its scenic landscapes, waterfalls, and hiking opportunities.
  • 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: Vovchansk
Triple: [Vovchansk region, hasAdministrativeCenter, Vovchansk]
Generated description
Vovchansk is a small city in northeastern Ukraine, located near the Russian border in Kharkiv Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vovchansk
Target entity description: Vovchansk is a small city in northeastern Ukraine, located near the Russian border in Kharkiv Oblast.
  • A. Kostiantynivka
    Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
  • B. Ruzhyn
    Ruzhyn is an urban-type settlement in central Ukraine, historically part of Zhytomyr Oblast and now administered within Bila Tserkva Raion of Kyiv Oblast.
  • C. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • D. Novovolynsk
    Novovolynsk is an industrial city in western Ukraine known for its coal mining history and location within Volyn Oblast near the Polish border.
  • E. Yaremche
    Yaremche is a picturesque resort town in western Ukraine’s Carpathian Mountains, known for its scenic landscapes, waterfalls, and hiking opportunities.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba2406c8190bd75dec585c14bfa completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fb7f22c81908bef806db262730a completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0930b6d344819099415b7ca3c4882b completed May 17, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a09318d74b88190817113e2df40e3f0 completed May 17, 2026, 3:10 a.m.
Created at: April 16, 2026, 1:45 p.m.