Triple

T9767507
Position Surface form Disambiguated ID Type / Status
Subject Ternopil Oblast E237032 entity
Predicate contains P35 FINISHED
Object Shumsk
Shumsk is a small town in western Ukraine known for its historical roots and location within the Ternopil region.
 E871103 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: Shumsk | Statement: [Ternopil Oblast, contains, Shumsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shumsk
Context triple: [Ternopil Oblast, contains, Shumsk]
  • A. Drohobych
    Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
  • B. Kamianske
    Kamianske is an industrial city in central Ukraine, historically known for its heavy metallurgy and chemical industries along the Dnieper River.
  • C. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • D. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • E. Sumy
    Sumy is a regional city in northeastern Ukraine known as the administrative center of Sumy Oblast and an important cultural, educational, and industrial hub.
  • 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: Shumsk
Triple: [Ternopil Oblast, contains, Shumsk]
Generated description
Shumsk is a small town in western Ukraine known for its historical roots and location within the Ternopil region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shumsk
Target entity description: Shumsk is a small town in western Ukraine known for its historical roots and location within the Ternopil region.
  • A. Drohobych
    Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
  • B. Kamianske
    Kamianske is an industrial city in central Ukraine, historically known for its heavy metallurgy and chemical industries along the Dnieper River.
  • C. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • D. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • E. Sumy
    Sumy is a regional city in northeastern Ukraine known as the administrative center of Sumy Oblast and an important cultural, educational, and industrial hub.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9330fa33c8190b507ad18362a6c64 completed April 10, 2026, 5:27 p.m.
NEDg Description generation batch_69d93802a4488190aa86ae209650d4e7 completed April 10, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69d938fcc3c48190a4acaaf75c1aa304 completed April 10, 2026, 5:53 p.m.
Created at: March 30, 2026, 8:25 p.m.