Triple

T15098445
Position Surface form Disambiguated ID Type / Status
Subject Torch Games E360600 entity
Predicate platform P1292 FINISHED
Object Torch web browser E73446 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: Torch web browser | Statement: [Torch Games, platform, Torch web browser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torch web browser
Context triple: [Torch Games, platform, Torch web browser]
  • A. Torch Browser chosen
    Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
  • B. Colibri Browser
    Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
  • C. Odyssey Web Browser
    Odyssey Web Browser is a lightweight, WebKit-based browser primarily known for bringing modern web standards support to MorphOS and other niche or legacy computing platforms.
  • D. Silk Browser
    Silk Browser is Amazon's cloud-accelerated web browser designed primarily for use on Fire tablets and other Amazon devices.
  • E. Chromium web browser
    Chromium web browser is an open-source, multi-platform web browser that serves as the foundation for Google Chrome and many other Chromium-based browsers.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054f00388190a5123d9f4a869b96 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd24523081908cf12a5d6bdd634d completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:04 a.m.