Triple

T16968134
Position Surface form Disambiguated ID Type / Status
Subject Vyborgsky District, Saint Petersburg E411595 entity
Predicate hasMetroStation P522 FINISHED
Object Lesnaya station
Lesnaya station is a Saint Petersburg Metro station located in the Vyborgsky District of Saint Petersburg, Russia.
E1243268 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: Lesnaya station | Statement: [Vyborgsky District, Saint Petersburg, hasMetroStation, Lesnaya station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesnaya station
Context triple: [Vyborgsky District, Saint Petersburg, hasMetroStation, Lesnaya station]
  • A. Rumyantsevo station
    Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
  • B. Rybatskoye station
    Rybatskoye station is a terminal metro station on the Saint Petersburg Metro serving the southeastern Rybatskoye residential and industrial area.
  • C. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • D. Novoyasenevskaya station
    Novoyasenevskaya station is a Moscow Metro station located in the Yasenevo District, serving as the southern terminus of the Kaluzhsko–Rizhskaya Line.
  • E. Yelshanka station
    Yelshanka 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: Lesnaya station
Triple: [Vyborgsky District, Saint Petersburg, hasMetroStation, Lesnaya station]
Generated description
Lesnaya station is a Saint Petersburg Metro station located in the Vyborgsky District of Saint Petersburg, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lesnaya station
Target entity description: Lesnaya station is a Saint Petersburg Metro station located in the Vyborgsky District of Saint Petersburg, Russia.
  • A. Rumyantsevo station
    Rumyantsevo station is a Moscow Metro station located on the Sokolnicheskaya Line, serving the Rumyantsevo area in southwest Moscow.
  • B. Rybatskoye station
    Rybatskoye station is a terminal metro station on the Saint Petersburg Metro serving the southeastern Rybatskoye residential and industrial area.
  • C. Frunzenskaya station
    Frunzenskaya station is a Moscow Metro station known for its deep-level construction and classic Soviet-era architectural design.
  • D. Novoyasenevskaya station
    Novoyasenevskaya station is a Moscow Metro station located in the Yasenevo District, serving as the southern terminus of the Kaluzhsko–Rizhskaya Line.
  • E. Yelshanka station
    Yelshanka 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.