Triple

T7279422
Position Surface form Disambiguated ID Type / Status
Subject OpenCL E163108 entity
Predicate supportsFeature P203 FINISHED
Object SPIR intermediate representation
SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
E653477 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: SPIR intermediate representation | Statement: [OpenCL, supportsFeature, SPIR intermediate representation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPIR intermediate representation
Context triple: [OpenCL, supportsFeature, SPIR intermediate representation]
  • A. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • B. CIRCT
    CIRCT is an open-source LLVM subproject that provides a set of reusable compiler infrastructure and tools for hardware design and synthesis using MLIR.
  • C. MLIR
    MLIR (Multi-Level Intermediate Representation) is a flexible compiler infrastructure and intermediate representation framework designed to support reusable, extensible optimizations and code generation across diverse domains and hardware targets.
  • D. SPICE in-memory engine
    SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
  • E. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • 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: SPIR intermediate representation
Triple: [OpenCL, supportsFeature, SPIR intermediate representation]
Generated description
SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SPIR intermediate representation
Target entity description: SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
  • A. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • B. CIRCT
    CIRCT is an open-source LLVM subproject that provides a set of reusable compiler infrastructure and tools for hardware design and synthesis using MLIR.
  • C. MLIR
    MLIR (Multi-Level Intermediate Representation) is a flexible compiler infrastructure and intermediate representation framework designed to support reusable, extensible optimizations and code generation across diverse domains and hardware targets.
  • D. SPICE in-memory engine
    SPICE in-memory engine is Amazon QuickSight’s high-performance, columnar, in-memory data store designed to enable fast, scalable, and interactive analytics on large datasets.
  • E. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb3251808190bd9da71bc183c945 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3450208190b67e4329a531ad0c completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dc567004819089c6c4b5322f275f completed March 28, 2026, 1:49 p.m.
NED2 Entity disambiguation (via description) batch_69c7dd18f8d481908bd7ac86e4388ce5 completed March 28, 2026, 1:52 p.m.
Created at: March 27, 2026, 2:59 p.m.