Triple

T2906877
Position Surface form Disambiguated ID Type / Status
Subject Francisco E62786 entity
Predicate hasShortForm P43 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: [Francisco, hasShortForm, Cisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco
Context triple: [Francisco, hasShortForm, 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. 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. 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.
  • D. Cisco routers
    Cisco routers are networking devices produced by Cisco Systems that direct data traffic between computer networks in enterprise, service provider, and home environments.
  • E. 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.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0d0628c81909680af2f0db2ecae completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b05612e79081908c962c2fe2e362d6 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.