Triple

T261182
Position Surface form Disambiguated ID Type / Status
Subject Cisco Systems E5543 entity
Predicate hasBrand P1500 FINISHED
Object Cisco E5543 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 | Statement: [Cisco Systems, hasBrand, Cisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco
Context triple: [Cisco Systems, hasBrand, Cisco]
  • A. Cisco Systems chosen
    Cisco Systems is a multinational technology conglomerate best known for designing and selling networking hardware, software, and telecommunications equipment used worldwide.
  • B. Cisco IOS
    Cisco IOS is Cisco Systems’ proprietary network operating system that powers many of its routers and switches, providing core routing, switching, and network services.
  • C. Arista Nashville
    Arista Nashville is a country music record label based in Nashville, Tennessee, known for signing and promoting prominent country artists.
  • D. Cisco Networking Academy
    Cisco Networking Academy is a global IT and cybersecurity education program that provides training and certifications in networking and related technologies through schools, colleges, and online platforms.
  • E. Cisco Meraki
    Cisco Meraki is a cloud-managed IT platform that provides centralized management for wireless, switching, security, and other network devices.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d7428dc8190ae12b12a21fcc6cb completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a386170dac81909a5ebf631f6037ab completed March 1, 2026, 12:19 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.