Triple

T2167532
Position Surface form Disambiguated ID Type / Status
Subject Serpukhovsko–Timiryazevskaya Line E46944 entity
Predicate hasTerminus P388 FINISHED
Object Altufyevo
Altufyevo is a Moscow Metro station that serves as the northern terminus of the Serpukhovsko–Timiryazevskaya Line.
 E250444 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: Altufyevo | Statement: [Serpukhovsko–Timiryazevskaya Line, hasTerminus, Altufyevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Altufyevo
Context triple: [Serpukhovsko–Timiryazevskaya Line, hasTerminus, Altufyevo]
  • A. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • B. Orekhovo
    Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
  • C. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • D. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • E. 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.
  • 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: Altufyevo
Triple: [Serpukhovsko–Timiryazevskaya Line, hasTerminus, Altufyevo]
Generated description
Altufyevo is a Moscow Metro station that serves as the northern terminus of the Serpukhovsko–Timiryazevskaya Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Altufyevo
Target entity description: Altufyevo is a Moscow Metro station that serves as the northern terminus of the Serpukhovsko–Timiryazevskaya Line.
  • A. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • B. Orekhovo
    Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
  • C. Noginsk
    Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
  • D. Novo-Ogaryovo
    Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
  • E. 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.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71b142208190a09c8e459b200ecb completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae71f7263c819086690d5cf8b2e1a7 completed March 9, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae734a22f48190a437cbc57c659d38 completed March 9, 2026, 7:14 a.m.
Created at: March 4, 2026, 7:45 p.m.