Triple

T8010685
Position Surface form Disambiguated ID Type / Status
Subject Robert Pera E186481 entity
Predicate business P12567 FINISHED
Object Ubiquiti Networks E707341 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: Ubiquiti Networks | Statement: [Robert Pera, business, Ubiquiti Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubiquiti Networks
Context triple: [Robert Pera, business, Ubiquiti Networks]
  • A. Ubiquiti Networks chosen
    Ubiquiti Networks is a technology company that designs and manufactures networking and wireless communication products for service providers and enterprises 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. 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.
  • D. Arista Networks
    Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
  • E. Lumen Technologies
    Lumen Technologies is a U.S.-based telecommunications and technology company that provides internet, networking, cloud, and security services to businesses and consumers.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c1f76881909ad6d7777090f2e2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:19 p.m.