Triple

T13155236
Position Surface form Disambiguated ID Type / Status
Subject Kaluzhsko–Rizhskaya Line E312566 entity
Predicate hasStation P35 FINISHED
Object Sviblovo
Sviblovo is a Moscow Metro station on the Kaluzhsko–Rizhskaya Line serving the Sviblovo District in the city’s northeast.
 E1024028 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: Sviblovo | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Sviblovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sviblovo
Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Sviblovo]
  • A. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • B. Barvinkove
    Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
  • C. Bobrůvka
    Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
  • D. Švihov
    Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
  • E. Chudovo
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • 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: Sviblovo
Triple: [Kaluzhsko–Rizhskaya Line, hasStation, Sviblovo]
Generated description
Sviblovo is a Moscow Metro station on the Kaluzhsko–Rizhskaya Line serving the Sviblovo District in the city’s northeast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sviblovo
Target entity description: Sviblovo is a Moscow Metro station on the Kaluzhsko–Rizhskaya Line serving the Sviblovo District in the city’s northeast.
  • A. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • B. Barvinkove
    Barvinkove is a town in eastern Ukraine’s Kharkiv Oblast that was a significant World War II battleground and remains a small regional center today.
  • C. Bobrůvka
    Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
  • D. Švihov
    Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
  • E. Chudovo
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ef102fb08190b8a9646e5b45155c completed May 3, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef933f888190880e680f7f4c1c29 completed May 3, 2026, 6:47 a.m.
Created at: April 9, 2026, 9:12 p.m.