Triple

T10065735
Position Surface form Disambiguated ID Type / Status
Subject Luhansk Oblast E213097 entity
Predicate containsCity P294 FINISHED
Object Kreminna
Kreminna is a small city in eastern Ukraine that has gained strategic significance due to its location in the Luhansk region near key transport routes and conflict zones.
 E843712 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: Kreminna | Statement: [Luhansk Oblast, containsCity, Kreminna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kreminna
Context triple: [Luhansk Oblast, containsCity, Kreminna]
  • A. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • B. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • C. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • D. Balakliia
    Balakliia is a town in Ukraine’s Kharkiv Oblast that gained prominence as a key frontline settlement during the 2022 Russian invasion.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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: Kreminna
Triple: [Luhansk Oblast, containsCity, Kreminna]
Generated description
Kreminna is a small city in eastern Ukraine that has gained strategic significance due to its location in the Luhansk region near key transport routes and conflict zones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kreminna
Target entity description: Kreminna is a small city in eastern Ukraine that has gained strategic significance due to its location in the Luhansk region near key transport routes and conflict zones.
  • A. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • B. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • C. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • D. Balakliia
    Balakliia is a town in Ukraine’s Kharkiv Oblast that gained prominence as a key frontline settlement during the 2022 Russian invasion.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff51b108190b6759f651d4ba2d2 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5755a4081909c582bf16dd285e7 completed April 5, 2026, 10:43 p.m.
NEDg Description generation batch_69d2e6f0aa988190aa9a866afcc2a1a2 completed April 5, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2e78384f48190abb7bdd7fcadcd9a completed April 5, 2026, 10:51 p.m.
Created at: March 30, 2026, 8:58 p.m.