Triple

T14420836
Position Surface form Disambiguated ID Type / Status
Subject Logitech E357578 entity
Predicate brandName P1500 FINISHED
Object Logitech E357578 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: Logitech | Statement: [Logitech, brandName, Logitech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logitech
Context triple: [Logitech, brandName, Logitech]
  • A. Logitech chosen
    Logitech is a Swiss-based technology company best known for designing and manufacturing computer peripherals and accessories such as mice, keyboards, webcams, and gaming gear.
  • B. Plantronics
    Plantronics is an American electronics company best known for designing and manufacturing audio communications equipment such as headsets and conference solutions for business and consumer markets.
  • C. Acer
    Acer is a genus of deciduous trees and shrubs best known for its maples, many of which are valued for their distinctive leaves, vibrant autumn colors, and sap used to produce maple syrup.
  • D. Acer
    Acer is a Taiwanese multinational hardware and electronics corporation best known for manufacturing laptops, desktops, monitors, and other computer-related products.
  • E. Elgato
    Elgato is a technology brand best known for its streaming and content-creation hardware and software, including capture cards, lighting, and control devices used by gamers and online creators.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.