Triple

T1634370
Position Surface form Disambiguated ID Type / Status
Subject Google Docs E35329 entity
Predicate operatingSystem P1593 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: [Google Docs, operatingSystem, ChromeOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ChromeOS
Context triple: [Google Docs, operatingSystem, 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. Chromebook
    Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
  • D. 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.
  • E. Chromebox
    Chromebox is a compact desktop computer that runs Google's ChromeOS and is designed primarily for web-based computing using the Chrome browser.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1679408190a9faa7b22c388c4b completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d9db5c819081408977834ad606 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.