Triple

T17499042
Position Surface form Disambiguated ID Type / Status
Subject Splunk E426145 entity
Predicate acquiredBy P347 FINISHED
Object Cisco Systems NE NERFINISHED

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: [Splunk, acquiredBy, Cisco Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cisco Systems
Context triple: [Splunk, acquiredBy, 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. Cisco
    Cisco is a central member of the hacker collective fsociety in the television series "Mr. Robot," known for his technical skills and involvement in the group's cyber-activism.
  • C. 3Com
    3Com was an American digital electronics and networking company best known for its Ethernet and network interface products before being acquired by Hewlett-Packard.
  • D. 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.
  • E. Arista Networks
    Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.