Triple

T12081691
Position Surface form Disambiguated ID Type / Status
Subject Sharya E287694 entity
Predicate hasNameInLanguage P15 FINISHED
Object Шарья
Шарья is a small town in Kostroma Oblast, Russia, known as a local administrative and railway center.
 E968881 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: Шарья | Statement: [Sharya, hasNameInLanguage, Шарья]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Шарья
Context triple: [Sharya, hasNameInLanguage, Шарья]
  • A. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • B. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • C. Barya
    Barya is an alternative name for the Nara people, an ethnic group primarily inhabiting parts of Eritrea.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • 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: Шарья
Triple: [Sharya, hasNameInLanguage, Шарья]
Generated description
Шарья is a small town in Kostroma Oblast, Russia, known as a local administrative and railway center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Шарья
Target entity description: Шарья is a small town in Kostroma Oblast, Russia, known as a local administrative and railway center.
  • A. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • B. Shubskaya
    Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
  • C. Barya
    Barya is an alternative name for the Nara people, an ethnic group primarily inhabiting parts of Eritrea.
  • D. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • E. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6b2d788190975275d713c26a4e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bda16e48190af8abc0aa8ef41f0 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60cd5fa308190a52d8983763db5f4 completed May 2, 2026, 2:40 p.m.
Created at: April 8, 2026, 9:48 p.m.