Triple

T1946824
Position Surface form Disambiguated ID Type / Status
Subject Big Circle Line E42071 entity
Predicate hasStation P35 FINISHED
Object Davydkovo
Davydkovo is a Moscow Metro station on the city’s orbital Big Circle Line.
 E218153 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: Davydkovo | Statement: [Big Circle Line, hasStation, Davydkovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Davydkovo
Context triple: [Big Circle Line, hasStation, Davydkovo]
  • A. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • B. Yanovka
    Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
  • C. Dzerzhinovo
    Dzerzhinovo is a village in present-day Belarus best known as the birthplace of Soviet statesman and secret police founder Felix Dzerzhinsky.
  • D. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • E. Shchyolkovo
    Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
  • 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: Davydkovo
Triple: [Big Circle Line, hasStation, Davydkovo]
Generated description
Davydkovo is a Moscow Metro station on the city’s orbital Big Circle Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Davydkovo
Target entity description: Davydkovo is a Moscow Metro station on the city’s orbital Big Circle Line.
  • A. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • B. Yanovka
    Yanovka is a small rural settlement in what is now Ukraine, historically part of the Russian Empire, best known as the birthplace of revolutionary leader Leon Trotsky.
  • C. Dzerzhinovo
    Dzerzhinovo is a village in present-day Belarus best known as the birthplace of Soviet statesman and secret police founder Felix Dzerzhinsky.
  • D. Obluchye
    Obluchye is a small town in Russia’s Far East, located in the Jewish Autonomous Oblast and known primarily as a local railway and administrative center.
  • E. Shchyolkovo
    Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbf724081909b24680d483edbd1 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6aa96c81909ae3cff6c7ab7f79 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcebbc808190a74f9082636bce11 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.