Triple

T687389
Position Surface form Disambiguated ID Type / Status
Subject Moscow Oblast E13313 entity
Predicate contains P35 FINISHED
Object Reutov
Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
 E89593 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: Reutov | Statement: [Moscow Oblast, contains, Reutov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reutov
Context triple: [Moscow Oblast, contains, Reutov]
  • A. Blagoevgrad
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • B. Ruse
    Ruse is a major Bulgarian city and river port on the Danube, known for its elegant architecture and role as an important economic and transport hub.
  • C. Varna
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • D. Burgas
    Burgas is a major Bulgarian city and industrial center on the Black Sea coast, known for its large seaport and role as a key maritime and logistics hub in the region.
  • E. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • 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: Reutov
Triple: [Moscow Oblast, contains, Reutov]
Generated description
Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reutov
Target entity description: Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
  • A. Blagoevgrad
    Blagoevgrad is a city in southwestern Bulgaria known as a regional cultural and educational center, home to several universities and a vibrant student population.
  • B. Ruse
    Ruse is a major Bulgarian city and river port on the Danube, known for its elegant architecture and role as an important economic and transport hub.
  • C. Varna
    Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
  • D. Burgas
    Burgas is a major Bulgarian city and industrial center on the Black Sea coast, known for its large seaport and role as a key maritime and logistics hub in the region.
  • E. Sofia
    Sofia is the capital and largest city of Bulgaria, known as a major cultural, economic, and historical center in the Balkans.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d806f08190a8e19f0918f23eb7 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65b3d6e60819084b3b1e75a5710be completed March 3, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69a65bbdedb081909b10366eabca5f16 completed March 3, 2026, 3:55 a.m.
Created at: March 1, 2026, 7:36 p.m.