Triple

T14440546
Position Surface form Disambiguated ID Type / Status
Subject Intel oneAPI Toolkits E358072 entity
Predicate supportsStandard P1587 FINISHED
Object MPI E528468 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: MPI | Statement: [Intel oneAPI Toolkits, supportsStandard, MPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPI
Context triple: [Intel oneAPI Toolkits, supportsStandard, MPI]
  • A. MPI
    MPI is a global measure that assesses poverty by considering multiple deprivations in areas such as health, education, and living standards rather than income alone.
  • B. MPI chosen
    MPI (Message Passing Interface) is a standardized and portable communication protocol widely used for parallel programming in high-performance computing environments.
  • C. MPI Discovery
    MPI Discovery is a purpose-built offshore wind turbine installation vessel used for constructing large-scale wind farms at sea.
  • D. MPIP
    MPIP is a leading German research institute focused on cutting-edge fundamental and applied research in polymer science and soft materials.
  • E. OMPS
    OMPS (Ozone Mapping and Profiler Suite) is a satellite-based instrument system designed to measure global ozone distribution and monitor atmospheric ozone layer changes from orbit.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.