Triple

T9230364
Position Surface form Disambiguated ID Type / Status
Subject Bashneft E221800 entity
Predicate formerParentCompany P5815 FINISHED
Object AFK Sistema
AFK Sistema is a large Russian diversified holding company with investments spanning sectors such as telecommunications, energy, retail, and high technology.
E786969 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: AFK Sistema | Statement: [Bashneft, formerParentCompany, AFK Sistema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFK Sistema
Context triple: [Bashneft, formerParentCompany, AFK Sistema]
  • A. Axim
    Axim is a coastal town in southwestern Ghana known for its historic forts, fishing industry, and beaches along the Atlantic Ocean.
  • B. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • C. AFISMA
    AFISMA is a regional African Union military mission established to help stabilize Mali during its 2012–2013 crisis by supporting government forces against insurgent groups.
  • D. AFS
    AFS is the National Rail station code for Ashford (Surrey) railway station in England.
  • E. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • 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: AFK Sistema
Triple: [Bashneft, formerParentCompany, AFK Sistema]
Generated description
AFK Sistema is a large Russian diversified holding company with investments spanning sectors such as telecommunications, energy, retail, and high technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AFK Sistema
Target entity description: AFK Sistema is a large Russian diversified holding company with investments spanning sectors such as telecommunications, energy, retail, and high technology.
  • A. Axim
    Axim is a coastal town in southwestern Ghana known for its historic forts, fishing industry, and beaches along the Atlantic Ocean.
  • B. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • C. AFISMA
    AFISMA is a regional African Union military mission established to help stabilize Mali during its 2012–2013 crisis by supporting government forces against insurgent groups.
  • D. AFS
    AFS is the National Rail station code for Ashford (Surrey) railway station in England.
  • E. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee17a2dc8190b373f78be7247f0d completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077a789f0819087d7f7612bbeaf6a completed April 4, 2026, 2:29 a.m.
NEDg Description generation batch_69d07a23205881909d96450759016e94 completed April 4, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69d07aaf06a08190b721e4b3f5a65c29 completed April 4, 2026, 2:42 a.m.
Created at: March 30, 2026, 7:29 p.m.