Triple

T2361467
Position Surface form Disambiguated ID Type / Status
Subject Butovskaya Line E47280 entity
Predicate hasStation P35 FINISHED
Object Ulitsa Gorchakova
Ulitsa Gorchakova is a Moscow Metro station on the Butovskaya Line serving the Yuzhnoye Butovo District in southern Moscow.
E287312 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: Ulitsa Gorchakova | Statement: [Butovskaya Line, hasStation, Ulitsa Gorchakova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulitsa Gorchakova
Context triple: [Butovskaya Line, hasStation, Ulitsa Gorchakova]
  • A. Galina Burdonskaya
    Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Lyudmila Alexeyeva
    Lyudmila Alexeyeva was a prominent Russian human rights activist, Soviet-era dissident, and co-founder of the Moscow Helsinki Group who became an enduring symbol of the struggle for civil liberties in Russia.
  • C. Maria Ivanova Vishnyakova
    Maria Ivanova Vishnyakova was the mother of renowned Russian filmmaker Andrei Tarkovsky.
  • D. Vera Glagoleva
    Vera Glagoleva was a prominent Russian film actress and director known for her work in Soviet and post-Soviet cinema.
  • E. Anna Krylova
    Anna Krylova was the wife of Nobel Prize–winning Soviet physicist Peter Kapitza.
  • 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: Ulitsa Gorchakova
Triple: [Butovskaya Line, hasStation, Ulitsa Gorchakova]
Generated description
Ulitsa Gorchakova is a Moscow Metro station on the Butovskaya Line serving the Yuzhnoye Butovo District in southern Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ulitsa Gorchakova
Target entity description: Ulitsa Gorchakova is a Moscow Metro station on the Butovskaya Line serving the Yuzhnoye Butovo District in southern Moscow.
  • A. Galina Burdonskaya
    Galina Burdonskaya was a Soviet woman best known as the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Lyudmila Alexeyeva
    Lyudmila Alexeyeva was a prominent Russian human rights activist, Soviet-era dissident, and co-founder of the Moscow Helsinki Group who became an enduring symbol of the struggle for civil liberties in Russia.
  • C. Maria Ivanova Vishnyakova
    Maria Ivanova Vishnyakova was the mother of renowned Russian filmmaker Andrei Tarkovsky.
  • D. Vera Glagoleva
    Vera Glagoleva was a prominent Russian film actress and director known for her work in Soviet and post-Soviet cinema.
  • E. Anna Krylova
    Anna Krylova was the wife of Nobel Prize–winning Soviet physicist Peter Kapitza.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc723c66481908a9b94991f651b3b completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03e7b6c81909e61671bd4435723 completed March 10, 2026, 4:38 a.m.
NEDg Description generation batch_69afa0c2241081909998659865534ab2 completed March 10, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69afa1a7d9b48190a8b14a7d209e1f26 completed March 10, 2026, 4:44 a.m.
Created at: March 4, 2026, 7:55 p.m.