Triple

T11766704
Position Surface form Disambiguated ID Type / Status
Subject Federal Penitentiary Service of Russia E279799 entity
Predicate shortName P43 FINISHED
Object FSIN
FSIN is the Russian federal agency responsible for administering the country’s prison and correctional system.
 E945454 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: FSIN | Statement: [Federal Penitentiary Service of Russia, shortName, FSIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FSIN
Context triple: [Federal Penitentiary Service of Russia, shortName, FSIN]
  • A. FSB
    The FSB (Federal Security Service) is Russia’s principal domestic security and intelligence agency, serving as the main successor to the Soviet-era KGB.
  • B. FSB
    FSB is an international body that monitors and makes recommendations about the global financial system to promote stability and reduce systemic risk.
  • C. FSI
    FSI is the U.S. Department of State’s primary training institution for American diplomats and other foreign affairs professionals.
  • D. FSI
    FSI is the FAA airport code for Henry Post Army Airfield, a U.S. Army airfield located at Fort Sill, Oklahoma.
  • E. FSI
    FSI is the common abbreviation for F# Interactive, the interactive REPL environment for the F# programming language.
  • 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: FSIN
Triple: [Federal Penitentiary Service of Russia, shortName, FSIN]
Generated description
FSIN is the Russian federal agency responsible for administering the country’s prison and correctional system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FSIN
Target entity description: FSIN is the Russian federal agency responsible for administering the country’s prison and correctional system.
  • A. FSB
    The FSB (Federal Security Service) is Russia’s principal domestic security and intelligence agency, serving as the main successor to the Soviet-era KGB.
  • B. FSB
    FSB is an international body that monitors and makes recommendations about the global financial system to promote stability and reduce systemic risk.
  • C. FSI
    FSI is the FAA airport code for Henry Post Army Airfield, a U.S. Army airfield located at Fort Sill, Oklahoma.
  • D. FSI
    FSI is the U.S. Department of State’s primary training institution for American diplomats and other foreign affairs professionals.
  • E. FSI
    FSI is the common abbreviation for F# Interactive, the interactive REPL environment for the F# programming language.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09063bdcc819089211d6246041416 completed April 28, 2026, 10:48 a.m.
NEDg Description generation batch_69f0bd3cf8308190813003daa8cfba4a completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef02c930819086d139834ad4ed84 completed April 28, 2026, 5:31 p.m.
Created at: April 8, 2026, 9:41 p.m.