Triple

T5513078
Position Surface form Disambiguated ID Type / Status
Subject Jean Zay E144612 entity
Predicate supports P516 FINISHED
Object OpenMP E59596 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: OpenMP | Statement: [Jean Zay, supports, OpenMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenMP
Context triple: [Jean Zay, supports, OpenMP]
  • A. OpenMP chosen
    OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.
  • B. Intel Threading Building Blocks
    Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
  • C. 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.
  • D. OpenACC
    OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.
  • E. OpenCL
    OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f599d0881909ce86fcc45d4d920 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027d192808190b1e80a6f3be44870 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.