Triple

T29938331
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA GPU architectures E760427 entity
Predicate includesArchitecture P24956 FINISHED
Object Ada Lovelace architecture
Ada Lovelace architecture is an NVIDIA GPU microarchitecture designed for high-performance gaming and AI workloads, powering the GeForce RTX 40-series graphics cards.
 E1891162 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: Ada Lovelace architecture | Statement: [NVIDIA GPU architectures, includesArchitecture, Ada Lovelace architecture]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ada Lovelace architecture
Triple: [NVIDIA GPU architectures, includesArchitecture, Ada Lovelace architecture]
Generated description
Ada Lovelace architecture is an NVIDIA GPU microarchitecture designed for high-performance gaming and AI workloads, powering the GeForce RTX 40-series graphics cards.

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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69ff1c247eb481909fd9d68ebae3ff30 completed May 9, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a271427de5c8190988c0e25777d71a8 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a27157398a88190bda7ad233606f444 completed June 8, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_6a271758172c8190a7ed3f56d8d56086 completed June 8, 2026, 7:26 p.m.
Created at: April 29, 2026, 6:21 p.m.