Triple

T6360637
Position Surface form Disambiguated ID Type / Status
Subject Mail.ru Group E143097 entity
Predicate regionServed P82 FINISHED
Object CIS E54611 NE FINISHED

How this triple was built (2 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: CIS | Statement: [Mail.ru Group, regionServed, CIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIS
Context triple: [Mail.ru Group, regionServed, CIS]
  • A. CIS
    CIS (Canadian Interuniversity Sport) was the former national governing body for university athletics in Canada, overseeing intercollegiate sports competition before being rebranded as U Sports.
  • B. CIS chosen
    The CIS (Commonwealth of Independent States) is a regional intergovernmental organization formed by several former Soviet republics to facilitate cooperation in political, economic, and security matters.
  • C. CIS
    CIS is a UK-based insurance brand that provides a range of financial and insurance services, historically associated with the Co-operative movement.
  • D. CISA
    CISA (the Cybersecurity and Infrastructure Security Agency) is a U.S. federal agency responsible for enhancing the security, resilience, and reliability of the nation’s cybersecurity and critical infrastructure.
  • E. CSC
    CSC is the commonly used abbreviation for the Connecticut Science Center, a hands-on science museum and educational facility in Hartford, Connecticut.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f8758081909c5ce40abf57dd2c completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.