Triple

T9323305
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Ampere architecture E224322 entity
Predicate firstProductAnnounced P87503 FINISHED
Object NVIDIA A100 E790764 NE FINISHED

How this triple was built (3 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 A100 | Statement: [NVIDIA Ampere architecture, firstProductAnnounced, NVIDIA A100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NVIDIA A100
Context triple: [NVIDIA Ampere architecture, firstProductAnnounced, NVIDIA A100]
  • A. NVIDIA A100 chosen
    The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
  • B. NVIDIA A40
    The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
  • C. NVIDIA DGX
    NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
  • D. NVIDIA A30
    The NVIDIA A30 is a data center GPU designed for accelerated computing workloads such as AI inference, training, and high-performance computing, offering a balance of performance and efficiency for enterprise deployments.
  • E. NVIDIA Ada Lovelace architecture
    NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstProductAnnounced
Context triple: [NVIDIA Ampere architecture, firstProductAnnounced, NVIDIA A100]
  • A. firstAnnouncedBy
    Indicates that one entity is the original source or originator that publicly disclosed, reported, or made known another entity or item for the first time.
  • B. firstUsedOn
    Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
  • C. firstDeployedIn
    Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
  • D. firstProducedAt
    Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
  • E. wasFirstCommercializedBy
    Indicates that the subject was initially brought to market or made commercially available by the object.
  • F. None of above. chosen

Provenance (5 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f466b08190884abdc56501a0d8 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3aad3cc819089c9d7ca96034bc5 completed April 4, 2026, 11:19 a.m.
PD Predicate disambiguation batch_69cc7a643924819097f01144734901cf completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc94b796788190816b71b1e9996288 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 7:38 p.m.