Triple

T11999983
Position Surface form Disambiguated ID Type / Status
Subject Mogilev Region E285632 entity
Predicate containsCity P294 FINISHED
Object Kiraŭsk
Kiraŭsk is a small town in eastern Belarus that serves as a local administrative and economic center within the Mogilev Region.
E971734 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: Kiraŭsk | Statement: [Mogilev Region, containsCity, Kiraŭsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiraŭsk
Context triple: [Mogilev Region, containsCity, Kiraŭsk]
  • A. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • B. Volkovysk
    Volkovysk is a historic town in present-day Belarus, known for its centuries-old Jewish community and changing rule under various Eastern European states.
  • C. Novogrudok
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • D. Volochysk
    Volochysk is a town in western Ukraine known as a local administrative and transportation center near the border with Ternopil Oblast.
  • E. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • 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: Kiraŭsk
Triple: [Mogilev Region, containsCity, Kiraŭsk]
Generated description
Kiraŭsk is a small town in eastern Belarus that serves as a local administrative and economic center within the Mogilev Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiraŭsk
Target entity description: Kiraŭsk is a small town in eastern Belarus that serves as a local administrative and economic center within the Mogilev Region.
  • A. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • B. Volkovysk
    Volkovysk is a historic town in present-day Belarus, known for its centuries-old Jewish community and changing rule under various Eastern European states.
  • C. Novogrudok
    Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • D. Volochysk
    Volochysk is a town in western Ukraine known as a local administrative and transportation center near the border with Ternopil Oblast.
  • E. Baranavichy
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • 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_69f60a5ccac481908c61fc1109cc6ef6 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60f62fc088190ab9caba49485911b completed May 2, 2026, 2:51 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:46 p.m.