Triple

T9874901
Position Surface form Disambiguated ID Type / Status
Subject Perm Krai E240048 entity
Predicate hasCity P316 FINISHED
Object Dobryanka
Dobryanka is a small industrial town in Perm Krai, Russia, situated on the banks of the Kama River and known historically for its power and manufacturing industries.
 E837438 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: Dobryanka | Statement: [Perm Krai, hasCity, Dobryanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dobryanka
Context triple: [Perm Krai, hasCity, Dobryanka]
  • A. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • B. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • C. Dobryninskaya
    Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
  • D. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • E. Bogdanovka
    Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
  • 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: Dobryanka
Triple: [Perm Krai, hasCity, Dobryanka]
Generated description
Dobryanka is a small industrial town in Perm Krai, Russia, situated on the banks of the Kama River and known historically for its power and manufacturing industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dobryanka
Target entity description: Dobryanka is a small industrial town in Perm Krai, Russia, situated on the banks of the Kama River and known historically for its power and manufacturing industries.
  • A. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • B. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • C. Dobryninskaya
    Dobryninskaya is a Moscow Metro station on the circular Koltsevaya Line, known for its Stalinist-era architecture and central location.
  • D. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • E. Bogdanovka
    Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f9d82c81908afb4977ce4e3e4a completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281c909f08190b4579dd34b3804af completed April 5, 2026, 3:37 p.m.
NEDg Description generation batch_69d2840bb2e881908a7e7a40229769e0 completed April 5, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_69d2847c9bb881908a6330dfe2c2c1a4 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:37 p.m.