Triple

T425691
Position Surface form Disambiguated ID Type / Status
Subject Belarusians E9601 entity
Predicate populationCenter P2106 FINISHED
Object Mahilyow
Mahilyow is a major city in eastern Belarus, serving as an important cultural, economic, and administrative center of the region.
 E56180 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: Mahilyow | Statement: [Belarusians, populationCenter, Mahilyow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mahilyow
Context triple: [Belarusians, populationCenter, Mahilyow]
  • A. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • B. Brest (Belarus)
    Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
  • C. Hrodna
    Hrodna is a historic city in western Belarus known for its well-preserved architecture and role as a major cultural and economic center of the region.
  • D. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • E. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • 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: Mahilyow
Triple: [Belarusians, populationCenter, Mahilyow]
Generated description
Mahilyow is a major city in eastern Belarus, serving as an important cultural, economic, and administrative center of the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mahilyow
Target entity description: Mahilyow is a major city in eastern Belarus, serving as an important cultural, economic, and administrative center of the region.
  • A. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • B. Brest (Belarus)
    Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
  • C. Hrodna
    Hrodna is a historic city in western Belarus known for its well-preserved architecture and role as a major cultural and economic center of the region.
  • D. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • E. Brest
    Brest is a major port city in northwestern France that serves as one of the country’s principal naval and maritime centers.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4429ec70c8190aaff2e0e6af82612 completed March 1, 2026, 1:43 p.m.
NEDg Description generation batch_69a4433304ec8190a60f945e7a506d75 completed March 1, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69a4438d88f08190b0b9e7667c756710 completed March 1, 2026, 1:47 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.