Triple

T18182753
Position Surface form Disambiguated ID Type / Status
Subject Vitebsk Region E435331 entity
Predicate hasCity P316 FINISHED
Object Dokshytsy
Dokshytsy is a small town in northeastern Belarus known as an administrative and cultural center within the Vitebsk Region.
 E1310934 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: Dokshytsy | Statement: [Vitebsk Region, hasCity, Dokshytsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dokshytsy
Context triple: [Vitebsk Region, hasCity, Dokshytsy]
  • A. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • B. Sahaidachny
    Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
  • C. Yaitsk
    Yaitsk is the former historical name of the city now known as Oral (Uralsk) in western Kazakhstan.
  • D. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • E. Stavyshche
    Stavyshche is an urban-type settlement in central Ukraine, located within Kyiv 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: Dokshytsy
Triple: [Vitebsk Region, hasCity, Dokshytsy]
Generated description
Dokshytsy is a small town in northeastern Belarus known as an administrative and cultural center within the Vitebsk Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dokshytsy
Target entity description: Dokshytsy is a small town in northeastern Belarus known as an administrative and cultural center within the Vitebsk Region.
  • A. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • B. Sahaidachny
    Sahaidachny is the honorific title of Petro Konashevych-Sahaidachny, a prominent early 17th-century Ukrainian Cossack military and political leader.
  • C. Yaitsk
    Yaitsk is the former historical name of the city now known as Oral (Uralsk) in western Kazakhstan.
  • D. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • E. Stavyshche
    Stavyshche is an urban-type settlement in central Ukraine, located within Kyiv 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffc432c8190af53da5256dc476c completed April 19, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980112908190bbc5371ce2b8a028 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0398dd1d50819087d16ad6f09ef063 completed May 12, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03998369648190ae2e84ba56827473 completed May 12, 2026, 9:20 p.m.
Created at: April 10, 2026, 10:31 a.m.