Triple

T11958466
Position Surface form Disambiguated ID Type / Status
Subject Open Multi-Processing E284609 entity
Predicate oftenUsedTogetherWith P3100 FINISHED
Object MPI E528468 NE FINISHED

How this triple was built (3 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: [Open Multi-Processing, oftenUsedTogetherWith, MPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPI
Context triple: [Open Multi-Processing, oftenUsedTogetherWith, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenUsedTogetherWith
Context triple: [Open Multi-Processing, oftenUsedTogetherWith, MPI]
  • A. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • B. oftenAccompaniedBy chosen
    Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
  • C. oftenUsedAfter
    Indicates that one entity is frequently or typically used immediately following another entity in a sequence or workflow.
  • D. isFamouslyUsedIn
    Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
  • E. usuallyAccompaniedBy
    Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
  • F. None of above.

Provenance (4 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471c931a88190a9d29262c62b9472 completed May 1, 2026, 9:26 a.m.
PD Predicate disambiguation batch_69d8bb3e48e08190b2fee43af4f57323 completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:45 p.m.