Triple

T16702510
Position Surface form Disambiguated ID Type / Status
Subject Firefox OS E405886 entity
Predicate previousName P65 FINISHED
Object Boot to Gecko E405886 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: Boot to Gecko | Statement: [Firefox OS, previousName, Boot to Gecko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boot to Gecko
Context triple: [Firefox OS, previousName, Boot to Gecko]
  • A. Firefox OS chosen
    Firefox OS was a Linux-based open-source mobile operating system developed by Mozilla, designed primarily for smartphones and other connected devices using web technologies like HTML5 and JavaScript.
  • B. Google Brillo
    Google Brillo was a lightweight, Android-based operating system platform developed by Google for Internet of Things (IoT) devices, later evolved into Android Things.
  • C. Tizen
    Tizen is a Linux-based open-source operating system primarily used in smart TVs, wearables, and other embedded and IoT devices.
  • D. Gecko layout engine
    Gecko layout engine is Mozilla's open-source web browser engine responsible for rendering web pages and powering applications like Firefox.
  • E. Torch Browser
    Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.