Triple

T7428532
Position Surface form Disambiguated ID Type / Status
Subject Duo Beyond E171426 entity
Predicate vendor P1951 FINISHED
Object Cisco Duo E33853 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: Cisco Duo | Statement: [Duo Beyond, vendor, Cisco Duo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco Duo
Context triple: [Duo Beyond, vendor, Cisco Duo]
  • A. Cisco Meraki
    Cisco Meraki is a cloud-managed IT platform that provides centralized management for wireless, switching, security, and other network devices.
  • B. Duo Security chosen
    Duo Security is a cybersecurity company best known for its cloud-based multi-factor authentication and zero-trust access solutions.
  • C. Cisco UCS
    Cisco UCS (Unified Computing System) is Cisco’s integrated data center platform that combines computing, networking, and storage resources into a unified, centrally managed architecture for enterprise and cloud environments.
  • D. Cisco ACI
    Cisco ACI is Cisco’s software-defined networking (SDN) solution that provides centralized, policy-based automation and management for data center networks.
  • E. Cisco Catalyst switches
    Cisco Catalyst switches are a family of enterprise-grade network switches from Cisco Systems designed for high-performance, secure, and scalable campus and data center networking.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f306bfe481909f99f6792de95ffc completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f0e28e88190805108dff740dda3 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.