Triple

T7836349
Position Surface form Disambiguated ID Type / Status
Subject CCNP Voice E181698 entity
Predicate offeredBy P178 FINISHED
Object Cisco Systems 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 Systems | Statement: [CCNP Voice, offeredBy, Cisco Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco Systems
Context triple: [CCNP Voice, offeredBy, Cisco Systems]
  • 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. Juniper Networks
    Juniper Networks is a multinational networking and cybersecurity company known for its high-performance routers, switches, and related infrastructure solutions for service providers and enterprises.
  • C. Arista Networks
    Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
  • D. Rincon Networks
    Rincon Networks was the original name of Sonos, the American company known for its wireless home audio products and multi-room sound systems.
  • E. Lucent Technologies
    Lucent Technologies was a major American telecommunications equipment company, spun off from AT&T, known for its Bell Labs research arm and contributions to networking and communications technology.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064cb7e081909e88419863d94dfe completed March 30, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aa3f75881908e5380b5d8f86ea6 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:46 p.m.