Triple

T10882146
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA RAPIDS E256948 entity
Predicate component P35 FINISHED
Object RAFT
RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
E890465 NE FINISHED

How this triple was built (4 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: RAFT | Statement: [NVIDIA RAPIDS, component, RAFT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RAFT
Context triple: [NVIDIA RAPIDS, component, RAFT]
  • A. RAP
    RAP is the standard abbreviation used for Raptors 905, the NBA G League affiliate of the Toronto Raptors.
  • B. RAFO
    RAFO is the air warfare branch of Oman’s armed forces, responsible for defending the nation’s airspace and providing aerial support to its military operations.
  • C. RAL
    RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
  • D. RAR
    RAR is the IATA airport code for Rarotonga International Airport, the main air gateway to the Cook Islands in the South Pacific.
  • E. RAR
    RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: RAFT
Triple: [NVIDIA RAPIDS, component, RAFT]
Generated description
RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RAFT
Target entity description: RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
  • A. RAP
    RAP is the standard abbreviation used for Raptors 905, the NBA G League affiliate of the Toronto Raptors.
  • B. RAFO
    RAFO is the air warfare branch of Oman’s armed forces, responsible for defending the nation’s airspace and providing aerial support to its military operations.
  • C. RAL
    RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
  • D. RAR
    RAR is the IATA airport code for Rarotonga International Airport, the main air gateway to the Cook Islands in the South Pacific.
  • E. RAR
    RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751da559c819094c3680a9f734ee7 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e479cc81909fb8510364d6fc0e completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.