Triple

T8724243
Position Surface form Disambiguated ID Type / Status
Subject Linux kernel E207089 entity
Predicate usedIn P98 FINISHED
Object ChromeOS E7683 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: ChromeOS | Statement: [Linux kernel, usedIn, ChromeOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ChromeOS
Context triple: [Linux kernel, usedIn, ChromeOS]
  • A. ChromeOS chosen
    ChromeOS is Google's lightweight, cloud-centric operating system designed primarily for Chromebooks and focused on running web applications and Android apps securely and efficiently.
  • B. ChromiumOS
    ChromiumOS is the open-source operating system project that serves as the foundation for Google’s ChromeOS, providing a lightweight, browser-centric Linux-based platform.
  • C. Chrome OS devices
    Chrome OS devices are computers and tablets running Google's lightweight, cloud-centric Chrome operating system, designed for fast boot times, automatic updates, and tight integration with Google services.
  • D. Chromebook
    Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
  • E. ChromeOS tablet
    A ChromeOS tablet is a touchscreen device that runs Google’s ChromeOS operating system, combining tablet portability with access to web-based apps and Android apps.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d1404948190bc45d14a1ddb1a7e completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2908fec08190a286a082060a47bc completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:36 p.m.