Triple

T8937199
Position Surface form Disambiguated ID Type / Status
Subject Minsk Governorate E212805 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Novogrudok
Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
 E780998 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: Novogrudok | Statement: [Minsk Governorate, containsAdministrativeTerritorialEntity, Novogrudok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novogrudok
Context triple: [Minsk Governorate, containsAdministrativeTerritorialEntity, Novogrudok]
  • A. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • B. Horodnia
    Horodnia is a small town in northern Ukraine known for its historical roots and location within the Chernihiv region.
  • C. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • D. 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.
  • E. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • 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: Novogrudok
Triple: [Minsk Governorate, containsAdministrativeTerritorialEntity, Novogrudok]
Generated description
Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novogrudok
Target entity description: Novogrudok is a historic town in western Belarus known as one of the early political centers of the Grand Duchy of Lithuania.
  • A. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • B. Horodnia
    Horodnia is a small town in northern Ukraine known for its historical roots and location within the Chernihiv region.
  • C. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • D. 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.
  • E. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b3628881909544507628980c25 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047408b20819084d0b9b831f0f2c0 completed April 3, 2026, 11:03 p.m.
NEDg Description generation batch_69d0496672a881909c1ac91a7ec1a2a1 completed April 3, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69d04a35451881909dfe6795b743b026 completed April 3, 2026, 11:16 p.m.
Created at: March 30, 2026, 6:58 p.m.