Triple

T576670
Position Surface form Disambiguated ID Type / Status
Subject ARM E13771 entity
Predicate hasVersion P455 FINISHED
Object ARMv9
ARMv9 is a modern 64-bit ARM processor architecture generation focused on enhanced performance, security, and AI/ML capabilities for a wide range of computing devices.
E13771 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: ARMv9 | Statement: [ARM, hasVersion, ARMv9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARMv9
Context triple: [ARM, hasVersion, ARMv9]
  • A. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • B. RISC-V
    RISC-V is an open, extensible instruction set architecture (ISA) based on the reduced instruction set computing (RISC) principles, widely used for research, embedded systems, and increasingly general-purpose computing.
  • C. AltiVec
    AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
  • D. Apple A15 Bionic
    Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
  • E. Apple A16 Bionic
    Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
  • 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: ARMv9
Triple: [ARM, hasVersion, ARMv9]
Generated description
ARMv9 is a modern 64-bit ARM processor architecture generation focused on enhanced performance, security, and AI/ML capabilities for a wide range of computing devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ARMv9
Target entity description: ARMv9 is a modern 64-bit ARM processor architecture generation focused on enhanced performance, security, and AI/ML capabilities for a wide range of computing devices.
  • A. ARM chosen
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • B. RISC-V
    RISC-V is an open, extensible instruction set architecture (ISA) based on the reduced instruction set computing (RISC) principles, widely used for research, embedded systems, and increasingly general-purpose computing.
  • C. AltiVec
    AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
  • D. Apple A15 Bionic
    Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
  • E. Apple A16 Bionic
    Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
  • F. None of above.

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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bfb6408190bf7e1f462f39723d completed March 2, 2026, 3:19 a.m.
NEDg Description generation batch_69a5026c35408190ab22dab86c673e0f completed March 2, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a5063ad6b481909537a97e6a81eaa4 completed March 2, 2026, 3:38 a.m.
Created at: March 1, 2026, 7:33 p.m.