Triple

T10214151
Position Surface form Disambiguated ID Type / Status
Subject Metal Performance Shaders E242399 entity
Predicate supports P516 FINISHED
Object MPSNNGraph E732975 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: MPSNNGraph | Statement: [Metal Performance Shaders, supports, MPSNNGraph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPSNNGraph
Context triple: [Metal Performance Shaders, supports, MPSNNGraph]
  • A. Hexagon NN library
    Hexagon NN library is a neural network software framework optimized for Qualcomm's Hexagon DSP architecture to accelerate on-device AI inference.
  • B. DGL
    DGL is the vehicle registration code assigned to the town of Głogów in Poland.
  • C. BNNS chosen
    BNNS (Basic Neural Network Subroutines) is Apple’s low-level, hardware-accelerated framework for performing neural network and machine learning computations efficiently on Apple devices.
  • D. EGCN
    EGCN is the ICAO airport code for Doncaster Sheffield Airport, a former international airport in South Yorkshire, England.
  • E. NPU
    NPU is the commonly used abbreviation for the National Police of Ukraine, the country’s central law enforcement agency responsible for maintaining public order and safety.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:04 a.m.