Triple

T9318666
Position Surface form Disambiguated ID Type / Status
Subject Odintsovsky District E224188 entity
Predicate contains P35 FINISHED
Object Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
 E816745 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: Romashkovo | Statement: [Odintsovsky District, contains, Romashkovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Romashkovo
Context triple: [Odintsovsky District, contains, Romashkovo]
  • A. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • B. Klushino
    Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
  • C. Ramenskoye
    Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
  • D. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • E. Zelenogradsk
    Zelenogradsk is a coastal resort town in Russia’s Kaliningrad Oblast on the Baltic Sea, known for its beaches, historic architecture, and proximity to the Curonian Spit.
  • 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: Romashkovo
Triple: [Odintsovsky District, contains, Romashkovo]
Generated description
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Romashkovo
Target entity description: Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
  • A. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • B. Klushino
    Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
  • C. Ramenskoye
    Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
  • D. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • E. Zelenogradsk
    Zelenogradsk is a coastal resort town in Russia’s Kaliningrad Oblast on the Baltic Sea, known for its beaches, historic architecture, and proximity to the Curonian Spit.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358b66148190a918c107490c8406 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f55c9c881909a315d10cea10834 completed April 4, 2026, 11:31 p.m.
NEDg Description generation batch_69d1a0326dd081909e39e422c11cc08f completed April 4, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0c05aa88190a93b0b71bef5c417 completed April 4, 2026, 11:37 p.m.
Created at: March 30, 2026, 7:38 p.m.