Triple

T22829935
Position Surface form Disambiguated ID Type / Status
Subject Waterfox E565769 entity
Predicate uses P98 FINISHED
Object Gecko engine NE NERFINISHED

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: Gecko engine | Statement: [Waterfox, uses, Gecko engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gecko engine
Context triple: [Waterfox, uses, Gecko engine]
  • A. Gecko layout engine chosen
    Gecko layout engine is Mozilla's open-source web browser engine responsible for rendering web pages and powering applications like Firefox.
  • B. Chromium rendering engine
    The Chromium rendering engine is an open-source browser engine developed by Google that powers the display and execution of web content in Chromium-based browsers.
  • C. Rhino JavaScript engine
    Rhino JavaScript engine is an open-source JavaScript implementation written in Java that runs on the JVM and is used to execute JavaScript code within Java-based environments.
  • D. Trident layout engine
    Trident layout engine is Microsoft's proprietary web page rendering engine used by Internet Explorer to display and interpret HTML, CSS, and related web technologies.
  • E. Hermes JavaScript engine
    Hermes JavaScript engine is a lightweight, high-performance JavaScript engine optimized for running React Native applications on mobile devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2ac8d48190b6dc7edc5ad82bc7 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.