Triple

T14388686
Position Surface form Disambiguated ID Type / Status
Subject ARMv7-A E356786 entity
Predicate usedIn P98 FINISHED
Object NVIDIA Tegra 2 E701993 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: NVIDIA Tegra 2 | Statement: [ARMv7-A, usedIn, NVIDIA Tegra 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NVIDIA Tegra 2
Context triple: [ARMv7-A, usedIn, NVIDIA Tegra 2]
  • A. Nvidia Tegra 2 chosen
    Nvidia Tegra 2 is a dual-core ARM-based system-on-chip by Nvidia that powered many early smartphones and tablets, marking one of the first widely adopted multi-core mobile processors.
  • B. Nvidia Tegra 3
    Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
  • C. 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.
  • 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. Tegra
    Tegra is Nvidia’s family of ARM-based system-on-a-chip processors designed primarily for mobile devices, tablets, and embedded platforms.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551623608190ba1de09b423cc5e1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.