Triple

T1994869
Position Surface form Disambiguated ID Type / Status
Subject RTX E43334 entity
Predicate includesFeature P182 FINISHED
Object DLSS E41923 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: DLSS | Statement: [RTX, includesFeature, DLSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DLSS
Context triple: [RTX, includesFeature, DLSS]
  • A. DLSS (Deep Learning Super Sampling) chosen
    DLSS (Deep Learning Super Sampling) is an NVIDIA graphics technology that uses deep learning to upscale lower-resolution images in real time, improving performance and visual quality in video games.
  • B. AMD FidelityFX Super Resolution
    AMD FidelityFX Super Resolution is AMD’s open, cross-platform spatial and temporal upscaling technology designed to boost gaming performance and image quality on a wide range of GPUs.
  • C. NVIDIA Reflex
    NVIDIA Reflex is a technology suite designed to reduce system latency in competitive PC gaming, providing faster input response and smoother, more responsive gameplay.
  • D. XeSS
    XeSS (Xe Super Sampling) is Intel’s AI-driven upscaling technology designed to boost gaming performance and image quality by rendering at lower resolutions and reconstructing higher-resolution frames in real time.
  • E. RTX
    RTX is NVIDIA's line of graphics technologies and products centered on real-time ray tracing and advanced GPU performance for gaming and professional visualization.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86537748190a2b5e3fd44ac6430 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fdd7b5c8190bf23a138c28857f8 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.