Triple

T3850266
Position Surface form Disambiguated ID Type / Status
Subject Pirogovskoye Reservoir E85277 entity
Predicate nearSettlement P3883 FINISHED
Object Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
 E443382 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: Pirogovo | Statement: [Pirogovskoye Reservoir, nearSettlement, Pirogovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pirogovo
Context triple: [Pirogovskoye Reservoir, nearSettlement, Pirogovo]
  • A. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • B. Priozersk
    Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
  • C. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • D. Podolsk
    Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
  • E. Orekhovo
    Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
  • 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: Pirogovo
Triple: [Pirogovskoye Reservoir, nearSettlement, Pirogovo]
Generated description
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pirogovo
Target entity description: Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
  • A. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • B. Priozersk
    Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
  • C. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • D. Podolsk
    Podolsk is a major industrial city and former center of machine-building located just south of Moscow in western Russia.
  • E. Orekhovo
    Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b63702874881909610763d5a48b09d completed March 15, 2026, 4:35 a.m.
NEDg Description generation batch_69b63823c30c8190af727acae00da9d3 completed March 15, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b638a398f88190bd0f041e9494aeba completed March 15, 2026, 4:42 a.m.
Created at: March 9, 2026, 3:19 p.m.