Triple

T7387338
Position Surface form Disambiguated ID Type / Status
Subject Celestial E170412 entity
Predicate competesWith P1375 FINISHED
Object NVIDIA GeForce discrete GPUs E209941 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 GeForce discrete GPUs | Statement: [Celestial, competesWith, NVIDIA GeForce discrete GPUs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NVIDIA GeForce discrete GPUs
Context triple: [Celestial, competesWith, NVIDIA GeForce discrete GPUs]
  • A. NVIDIA GeForce GPU line chosen
    The NVIDIA GeForce GPU line is a flagship series of consumer graphics processors widely used for gaming, creative workloads, and GPU-accelerated computing.
  • B. Nvidia Maxwell GPU
    The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
  • C. GPUS
    GPUS is a progressive U.S. political party focused on environmentalism, social justice, grassroots democracy, and nonviolence.
  • D. NVIDIA Studio
    NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
  • E. NVIDIA Tesla data center GPUs
    NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f2bac481908ac74069182a4ce4 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810ed3a00819088c6eee3d8b8a7e9 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:08 p.m.