Triple

T17480892
Position Surface form Disambiguated ID Type / Status
Subject Savyolovsky railway terminal E425654 entity
Predicate connectsTo P845 FINISHED
Object Savyolovo
Savyolovo is a locality in Russia that serves as a terminus and key destination on the rail line served by Moscow’s Savyolovsky railway terminal.
 E1270389 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: Savyolovo | Statement: [Savyolovsky railway terminal, connectsTo, Savyolovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Savyolovo
Context triple: [Savyolovsky railway terminal, connectsTo, Savyolovo]
  • A. Vladimirovka
    Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
  • B. Roslyakovo
    Roslyakovo is a rural settlement in Murmansk Oblast, Russia, historically associated with ship repair and naval facilities on the Barents Sea coast.
  • C. Belyaninovo
    Belyaninovo is a rural locality in Russia, situated within the Mytishchinsky District of Moscow Oblast.
  • D. Kryukovo
    Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
  • E. Yartsevo
    Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
  • 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: Savyolovo
Triple: [Savyolovsky railway terminal, connectsTo, Savyolovo]
Generated description
Savyolovo is a locality in Russia that serves as a terminus and key destination on the rail line served by Moscow’s Savyolovsky railway terminal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Savyolovo
Target entity description: Savyolovo is a locality in Russia that serves as a terminus and key destination on the rail line served by Moscow’s Savyolovsky railway terminal.
  • A. Vladimirovka
    Vladimirovka was the original Russian settlement that later developed into the city of Yuzhno-Sakhalinsk on Sakhalin Island in Russia’s Far East.
  • B. Roslyakovo
    Roslyakovo is a rural settlement in Murmansk Oblast, Russia, historically associated with ship repair and naval facilities on the Barents Sea coast.
  • C. Belyaninovo
    Belyaninovo is a rural locality in Russia, situated within the Mytishchinsky District of Moscow Oblast.
  • D. Kryukovo
    Kryukovo is a railway station and suburban district in Zelenograd, Moscow, serving as a key commuter hub on the Leningradsky suburban rail line.
  • E. Yartsevo
    Yartsevo is a town in western Russia known as an industrial center within Smolensk Oblast.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bfd75481908c20bc2c1cbff593 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b8320f488190a4eacfb628bb1dfd completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01b8dd58f8819090d5138897c5155f completed May 11, 2026, 11:09 a.m.
NED2 Entity disambiguation (via description) batch_6a01b9676d54819098315611857dd6ea completed May 11, 2026, 11:11 a.m.
Created at: April 10, 2026, 5:48 a.m.