Triple

T272006
Position Surface form Disambiguated ID Type / Status
Subject Google Photos E5653 entity
Predicate platform P1292 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 Photos, platform, ChromeOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ChromeOS
Context triple: [Google Photos, platform, 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. Chromebook
    Chromebook is a line of lightweight laptops that run Google's ChromeOS, designed primarily for web-based computing and cloud-centric use.
  • C. Chromebox
    Chromebox is a compact desktop computer that runs Google's ChromeOS and is designed primarily for web-based computing using the Chrome browser.
  • D. Google Chrome
    Google Chrome is a widely used cross-platform web browser developed by Google, known for its speed, simplicity, and integration with Google services.
  • E. Microsoft Edge
    Microsoft Edge is a web browser developed by Microsoft that serves as the default browser for Windows and supports modern web standards and technologies.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dcd2b208190855d5d8d70a3acfc completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f537f1c8190a59ac4669498a3fc completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.