Triple

T13155255
Position Surface form Disambiguated ID Type / Status
Subject Kaluzhsko–Rizhskaya Line E312566 entity
Predicate hasStation P35 FINISHED
Object Tyoply Stan
Tyoply Stan is a Moscow Metro station located in the southwestern part of Moscow, Russia.
E1024034 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: Tyoply Stan | Statement: [Kaluzhsko–Rizhskaya Line, hasStation, Tyoply Stan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyoply Stan
Context triple: [Kaluzhsko–Rizhskaya Line, hasStation, Tyoply Stan]
  • A. Stanley
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • B. Stanley
    Stanley is a well-known tool and hardware brand that has served as a prominent sponsor in NASCAR and other major motorsports.
  • C. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • D. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • E. Stanley
    Stanley is a masculine given name of Old English origin that has been borne by numerous notable figures, including British statesman Stanley Baldwin.
  • 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: Tyoply Stan
Triple: [Kaluzhsko–Rizhskaya Line, hasStation, Tyoply Stan]
Generated description
Tyoply Stan is a Moscow Metro station located in the southwestern part of Moscow, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tyoply Stan
Target entity description: Tyoply Stan is a Moscow Metro station located in the southwestern part of Moscow, Russia.
  • A. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • B. Stanley
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • C. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • D. Stanley
    Stanley is a well-known tool and hardware brand that has served as a prominent sponsor in NASCAR and other major motorsports.
  • E. Stanley
    Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
  • 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.