Triple

T16853612
Position Surface form Disambiguated ID Type / Status
Subject Toughbook E409732 entity
Predicate hasModelSeries P39689 FINISHED
Object Toughbook CF series E409732 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: Toughbook CF series | Statement: [Toughbook, hasModelSeries, Toughbook CF series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toughbook CF series
Context triple: [Toughbook, hasModelSeries, Toughbook CF series]
  • A. Toughbook chosen
    Toughbook is Panasonic’s rugged line of laptop and tablet computers designed to withstand harsh environments and demanding field use.
  • B. Toughpad
    Toughpad is Panasonic's rugged line of tablet computers designed for use in demanding industrial and field environments.
  • C. MateBook series
    The MateBook series is Huawei’s line of Windows-based laptop computers known for slim designs, high-resolution displays, and integration with the company’s mobile ecosystem.
  • D. Dynabook
    Dynabook is a line of portable personal computers originally developed by Toshiba, known for its lightweight laptop designs and business-focused notebooks.
  • E. Fujitsu Lifebook models
    Fujitsu Lifebook models are a line of notebook computers from Fujitsu known for incorporating energy-efficient, lightweight designs suited to mobile and business users.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37bbb80819086d844a313625cad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb216fac81909d401c6b9911d1e0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.