Triple

T6769440
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg Metro E155005 entity
Predicate terminusStation P15150 FINISHED
Object Rybatskoye
Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
 E620962 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: Rybatskoye | Statement: [Saint Petersburg Metro, terminusStation, Rybatskoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rybatskoye
Context triple: [Saint Petersburg Metro, terminusStation, Rybatskoye]
  • A. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • B. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • C. Dubrovitsy
    Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
  • D. 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.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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: Rybatskoye
Triple: [Saint Petersburg Metro, terminusStation, Rybatskoye]
Generated description
Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rybatskoye
Target entity description: Rybatskoye is a metro station in Saint Petersburg, Russia, serving as the eastern terminus of one of the city’s metro lines.
  • A. Nikolskoye
    Nikolskoye is a town in northwestern Russia known as part of the Saint Petersburg metropolitan area in Leningrad Oblast.
  • B. Nikolskoye
    Nikolskoye is the main and only permanent settlement on Russia’s remote Commander Islands in the Bering Sea.
  • C. Dubrovitsy
    Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
  • D. 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.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d232d1f08190bc30c0f24f28c475 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c67dc08190b21138488c80733a completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c724691b8081908975aec09e25dec2 completed March 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c724bbe8f88190b2abe734b267aea7 completed March 28, 2026, 12:45 a.m.
Created at: March 27, 2026, 2:12 p.m.