Triple

T17690225
Position Surface form Disambiguated ID Type / Status
Subject Drutsk E441003 entity
Predicate locatedNear P294 FINISHED
Object Tolochin
Tolochin is a small town in eastern Belarus known for its historical significance and location along important regional transport routes.
 E1282954 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: Tolochin | Statement: [Drutsk, locatedNear, Tolochin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tolochin
Context triple: [Drutsk, locatedNear, Tolochin]
  • A. Tarakanishche
    Tarakanishche is a famous children's poem by Russian writer Korney Chukovsky, known for its humorous, rhythmic tale of a tyrannical cockroach.
  • B. Golymin
    Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
  • C. Chukhrai
    Chukhrai is a Russian surname most notably associated with Soviet film director Grigori Chukhrai and his filmmaker son Pavel Chukhrai.
  • D. Lopukhina
    Lopukhina is a Russian noble family name historically associated with Eudoxia Lopukhina, the first wife of Tsar Peter the Great.
  • E. Torgos
    Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
  • 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: Tolochin
Triple: [Drutsk, locatedNear, Tolochin]
Generated description
Tolochin is a small town in eastern Belarus known for its historical significance and location along important regional transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tolochin
Target entity description: Tolochin is a small town in eastern Belarus known for its historical significance and location along important regional transport routes.
  • A. Tarakanishche
    Tarakanishche is a famous children's poem by Russian writer Korney Chukovsky, known for its humorous, rhythmic tale of a tyrannical cockroach.
  • B. Golymin
    Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
  • C. Chukhrai
    Chukhrai is a Russian surname most notably associated with Soviet film director Grigori Chukhrai and his filmmaker son Pavel Chukhrai.
  • D. Lopukhina
    Lopukhina is a Russian noble family name historically associated with Eudoxia Lopukhina, the first wife of Tsar Peter the Great.
  • E. Torgos
    Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704b43a88190ba29654ca695839e completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02233002b881909f956196fe29c580 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a0224d356748190aac87f7bc6a12ee7 completed May 11, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_6a02258d6db881908a80b23b5d44cf98 completed May 11, 2026, 6:53 p.m.
Created at: April 10, 2026, 10:03 a.m.