Triple

T9323302
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Ampere architecture E224322 entity
Predicate codename P2980 FINISHED
Object Ampere E754911 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: Ampere | Statement: [NVIDIA Ampere architecture, codename, Ampere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ampere
Context triple: [NVIDIA Ampere architecture, codename, Ampere]
  • A. Ampere chosen
    Ampere is NVIDIA's GPU microarchitecture known for its improved ray tracing, AI acceleration, and power efficiency across gaming and professional graphics cards.
  • B. Amper
    The Amper is a river in Bavaria, Germany, known for flowing from the Ammersee toward the Isar and ultimately contributing to the Danube river system.
  • C. Ampère (unit of electric current)
    The ampere is the International System of Units (SI) base unit that quantifies electric current.
  • D. ampere
    The ampere is the SI base unit of electric current, defining the amount of electric charge passing a point in a circuit per unit time.
  • E. André-Marie Ampère
    André-Marie Ampère was a pioneering French physicist and mathematician whose work in electromagnetism led to the naming of the unit of electric current, the ampere, in his honor.
  • 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_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_69d0c7d70b1c8190a254f58efc370624 completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:38 p.m.