Triple

T1766865
Position Surface form Disambiguated ID Type / Status
Subject Leningrad Oblast E38781 entity
Predicate containsCity P294 FINISHED
Object Priozersk
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
 E247277 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: Priozersk | Statement: [Leningrad Oblast, containsCity, Priozersk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Priozersk
Context triple: [Leningrad Oblast, containsCity, Priozersk]
  • A. Podolsk
    Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
  • B. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • C. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • D. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • E. Kirovsk
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • 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: Priozersk
Triple: [Leningrad Oblast, containsCity, Priozersk]
Generated description
Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Priozersk
Target entity description: Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
  • A. Podolsk
    Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
  • B. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • C. Pokrovskoye
    Pokrovskoye is a rural Siberian village in Russia best known as the birthplace and early home of the mystic Grigori Rasputin.
  • D. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • E. Kirovsk
    Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646914048190bbe282a3d4768835 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae17a808190b5574ca6baafdb71 completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b73bb688190bcade17d991c4862 completed March 9, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69ae6be4431c81909c9b4ad82226215d completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:31 p.m.