Triple

T4064036
Position Surface form Disambiguated ID Type / Status
Subject Western Belarus E86281 entity
Predicate majorCity P316 FINISHED
Object Baranavichy
Baranavichy is a significant industrial and railway hub city in western Belarus.
E410070 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: Baranavichy | Statement: [Western Belarus, majorCity, Baranavichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baranavichy
Context triple: [Western Belarus, majorCity, Baranavichy]
  • A. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • B. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • C. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • 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. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • 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: Baranavichy
Triple: [Western Belarus, majorCity, Baranavichy]
Generated description
Baranavichy is a significant industrial and railway hub city in western Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baranavichy
Target entity description: Baranavichy is a significant industrial and railway hub city in western Belarus.
  • A. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • B. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • C. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • 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. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd7896c81909c61ed0d910d9c5f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ae949c819092affaaca97c16d1 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5633103e081909dbe7a7e54877343 completed March 14, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69b563eca17c81908deff0d361a7be87 completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.