Triple

T17690258
Position Surface form Disambiguated ID Type / Status
Subject Lukoml E441004 entity
Predicate hasNameInLanguage P15 FINISHED
Object Лукомль (Russian)
Лукомль — это населённый пункт в Белоруссии, известный прежде всего благодаря расположенной рядом Лукомльской ГРЭС, одной из крупнейших электростанций страны.
E1282957 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: Лукомль (Russian) | Statement: [Lukoml, hasNameInLanguage, Лукомль (Russian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Лукомль (Russian)
Context triple: [Lukoml, hasNameInLanguage, Лукомль (Russian)]
  • A. Luchistoye
    Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • D. Molodechno
    Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
  • E. Lypky
    Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
  • 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: Лукомль (Russian)
Triple: [Lukoml, hasNameInLanguage, Лукомль (Russian)]
Generated description
Лукомль — это населённый пункт в Белоруссии, известный прежде всего благодаря расположенной рядом Лукомльской ГРЭС, одной из крупнейших электростанций страны.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Лукомль (Russian)
Target entity description: Лукомль — это населённый пункт в Белоруссии, известный прежде всего благодаря расположенной рядом Лукомльской ГРЭС, одной из крупнейших электростанций страны.
  • A. Luchistoye
    Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. Letychiv
    Letychiv is an urban-type settlement in western Ukraine known for its historic fortress and role as a local administrative center.
  • D. Molodechno
    Molodechno is a city in northwestern Belarus that serves as an important cultural and transportation hub within the Minsk Region.
  • E. Lypky
    Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
  • 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.