Triple

T11660321
Position Surface form Disambiguated ID Type / Status
Subject Nvidia Tegra X1 E277101 entity
Predicate marketedAs P1395 FINISHED
Object Tegra X1 E277101 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: Tegra X1 | Statement: [Nvidia Tegra X1, marketedAs, Tegra X1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tegra X1
Context triple: [Nvidia Tegra X1, marketedAs, Tegra X1]
  • A. Nvidia Tegra X1 chosen
    The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
  • B. Nvidia Tegra X2
    Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
  • C. Tegra
    Tegra is Nvidia’s family of ARM-based system-on-a-chip processors designed primarily for mobile devices, tablets, and embedded platforms.
  • D. Nvidia Tegra K1
    The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
  • E. Nvidia Tegra 4
    Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d19c788190826d849a6ffedc72 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82ce2904819094cf5be87fb14fca completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.