Triple

T18704639
Position Surface form Disambiguated ID Type / Status
Subject Modular Inc. E457338 entity
Predicate product P490 FINISHED
Object Modular Inference Engine — NE NERFINISHED

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: Modular Inference Engine | Statement: [Modular Inc., product, Modular Inference Engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Modular Inference Engine
Context triple: [Modular Inc., product, Modular Inference Engine]
  • A. Modular Inference Engine chosen
    Modular Inference Engine is a high-performance, flexible AI runtime system designed by Modular Inc. to accelerate and unify the deployment of machine learning models across diverse hardware platforms.
  • B. Goya inference processor
    The Goya inference processor is Habana Labs’ specialized AI chip designed to accelerate deep learning inference workloads with high performance and efficiency.
  • C. Adept AI
    Adept AI is an artificial intelligence research and product company focused on building AI agents that can use existing software tools to perform complex tasks for users.
  • D. Computation Independent Model
    A Computation Independent Model is a high-level representation of a system that focuses on its environment and requirements without detailing computational or implementation aspects.
  • E. Lattice sensAI
    Lattice sensAI is Lattice Semiconductor’s low-power, FPGA-based edge AI platform designed to accelerate machine learning inference in resource-constrained applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671665bc8190b9b4a4ce4ec5b2eb completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.