Triple

T2691813
Position Surface form Disambiguated ID Type / Status
Subject Russian Armed Forces E58418 entity
Predicate abbreviation P43 FINISHED
Object AFRF
AFRF is the commonly used English abbreviation for the Russian Armed Forces, the military organization responsible for the defense and security of the Russian Federation.
 E290227 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: AFRF | Statement: [Russian Armed Forces, abbreviation, AFRF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AFRF
Context triple: [Russian Armed Forces, abbreviation, AFRF]
  • A. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • C. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • D. ARF
    ARF is a key multilateral security dialogue platform in the Asia-Pacific region that brings together ASEAN members and other major powers to discuss political and security issues.
  • E. AFR
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • 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: AFRF
Triple: [Russian Armed Forces, abbreviation, AFRF]
Generated description
AFRF is the commonly used English abbreviation for the Russian Armed Forces, the military organization responsible for the defense and security of the Russian Federation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AFRF
Target entity description: AFRF is the commonly used English abbreviation for the Russian Armed Forces, the military organization responsible for the defense and security of the Russian Federation.
  • A. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • B. AF
    AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
  • C. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • D. ARF
    ARF is a key multilateral security dialogue platform in the Asia-Pacific region that brings together ASEAN members and other major powers to discuss political and security issues.
  • E. AFR
    AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0cb9b48190ab354c277cef9e23 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf61b83c8190ab254d927cb908f2 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb002b86881909401e1bec24b76bf completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb0e906f88190b182cbfe81122eed completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:54 p.m.