Triple

T16968137
Position Surface form Disambiguated ID Type / Status
Subject Vyborgsky District, Saint Petersburg E411595 entity
Predicate hasMetroStation P522 FINISHED
Object Akademicheskaya station
Akademicheskaya station is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
E1243269 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: Akademicheskaya station | Statement: [Vyborgsky District, Saint Petersburg, hasMetroStation, Akademicheskaya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akademicheskaya station
Context triple: [Vyborgsky District, Saint Petersburg, hasMetroStation, Akademicheskaya station]
  • A. Druzhnaya IV Station
    Druzhnaya IV Station is a Russian research facility in Antarctica used for scientific studies in the polar environment.
  • B. Pionerskaya station
    Pionerskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. Finlyandsky Station
    Finlyandsky Station is a historic railway terminal in Saint Petersburg, Russia, best known as the arrival point of Vladimir Lenin in 1917 before the October Revolution.
  • D. Profsoyuznaya station
    Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • E. Shkolnaya station
    Shkolnaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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: Akademicheskaya station
Triple: [Vyborgsky District, Saint Petersburg, hasMetroStation, Akademicheskaya station]
Generated description
Akademicheskaya station is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akademicheskaya station
Target entity description: Akademicheskaya station is a metro station in Saint Petersburg, Russia, serving the Vyborgsky District on the city's rapid transit network.
  • A. Druzhnaya IV Station
    Druzhnaya IV Station is a Russian research facility in Antarctica used for scientific studies in the polar environment.
  • B. Pionerskaya station
    Pionerskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • C. Finlyandsky Station
    Finlyandsky Station is a historic railway terminal in Saint Petersburg, Russia, best known as the arrival point of Vladimir Lenin in 1917 before the October Revolution.
  • D. Profsoyuznaya station
    Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • E. Shkolnaya station
    Shkolnaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a6f628819080db47285954729a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46f1d608190befe4dcbda086c03 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d619d0f88190904a8afdd02c6f54 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d67eb2a48190b57e394925181f70 completed May 10, 2026, 7:03 p.m.
Created at: April 10, 2026, 5:31 a.m.