Triple

T11999988
Position Surface form Disambiguated ID Type / Status
Subject Mogilev Region E285632 entity
Predicate containsCity P294 FINISHED
Object Cherykaw
Cherykaw is a small town in eastern Belarus known for its location on the Sozh River and its heavy damage during World War II.
 E958988 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: Cherykaw | Statement: [Mogilev Region, containsCity, Cherykaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cherykaw
Context triple: [Mogilev Region, containsCity, Cherykaw]
  • A. Chorokhi
    Chorokhi is a river in the South Caucasus that flows from northeastern Turkey into southwestern Georgia before emptying into the Black Sea.
  • B. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • C. Ko Chorakhe
    Ko Chorakhe is a small island located within Thailand’s Chumphon Archipelago, known for its coastal scenery and marine environment.
  • D. Charuymaq
    Charuymaq is a county-level city in northwestern Iran known for its rural communities and location within East Azerbaijan Province.
  • E. Chakvi
    Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
  • 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: Cherykaw
Triple: [Mogilev Region, containsCity, Cherykaw]
Generated description
Cherykaw is a small town in eastern Belarus known for its location on the Sozh River and its heavy damage during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cherykaw
Target entity description: Cherykaw is a small town in eastern Belarus known for its location on the Sozh River and its heavy damage during World War II.
  • A. Chorokhi
    Chorokhi is a river in the South Caucasus that flows from northeastern Turkey into southwestern Georgia before emptying into the Black Sea.
  • B. Chakesar
    Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
  • C. Ko Chorakhe
    Ko Chorakhe is a small island located within Thailand’s Chumphon Archipelago, known for its coastal scenery and marine environment.
  • D. Charuymaq
    Charuymaq is a county-level city in northwestern Iran known for its rural communities and location within East Azerbaijan Province.
  • E. Chakvi
    Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
NEDg Description generation batch_69f47b7e4a40819085680c48eed5418a completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47df40a8c8190bd7350ba27f57214 completed May 1, 2026, 10:18 a.m.
Created at: April 8, 2026, 9:46 p.m.