Triple

T21508913
Position Surface form Disambiguated ID Type / Status
Subject State Archive of the Russian Federation E530665 entity
Predicate shortName P43 FINISHED
Object GARF
GARF is the principal national archive of the Russian Federation, preserving and providing access to key federal government documents and historical records.
 E1487232 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: GARF | Statement: [State Archive of the Russian Federation, shortName, GARF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GARF
Context triple: [State Archive of the Russian Federation, shortName, GARF]
  • A. GAR
    GAR is the Spanish Civil Guard’s elite Rapid Action Group, a specialized unit focused on counterterrorism and high-risk operations.
  • B. GAR
    GAR is the National Rail station code for Garsdale railway station in Cumbria, England.
  • C. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • D. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • E. GFA
    GFA is the IATA airport code for the airfield serving Malmstrom Air Force Base in Montana, United States.
  • 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: GARF
Triple: [State Archive of the Russian Federation, shortName, GARF]
Generated description
GARF is the principal national archive of the Russian Federation, preserving and providing access to key federal government documents and historical records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GARF
Target entity description: GARF is the principal national archive of the Russian Federation, preserving and providing access to key federal government documents and historical records.
  • A. GAR
    GAR is the Spanish Civil Guard’s elite Rapid Action Group, a specialized unit focused on counterterrorism and high-risk operations.
  • B. GAR
    GAR is the National Rail station code for Garsdale railway station in Cumbria, England.
  • C. GAFI
    GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
  • D. GFA
    GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
  • E. GFA
    GFA is the IATA airport code for the airfield serving Malmstrom Air Force Base in Montana, United States.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84042481909b43a7a4c5d2336a completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e143c73081908ace3b52a18bdf98 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1e8a698819093ed056a1a007aba completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e278b5488190a71119d3c62f64c0 completed May 17, 2026, 3:44 p.m.
Created at: April 16, 2026, 6:25 p.m.