Triple

T13692706
Position Surface form Disambiguated ID Type / Status
Subject Real-time Multivariate MJO index E328307 entity
Predicate hasComponent P35 FINISHED
Object RMM1 E328308 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: RMM1 | Statement: [Real-time Multivariate MJO index, hasComponent, RMM1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMM1
Context triple: [Real-time Multivariate MJO index, hasComponent, RMM1]
  • A. RMM1 chosen
    RMM1 is one of the primary Real-time Multivariate MJO index components used to quantify and track the phase and amplitude of the Madden–Julian Oscillation in atmospheric observations and forecasts.
  • B. RMM
    RMM is the RAPIDS Memory Manager, a GPU-accelerated memory management library used within NVIDIA RAPIDS to efficiently allocate and manage device memory for data science and analytics workloads.
  • C. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • D. MRR2
    MRR2 is a major ring road and highway in the Klang Valley region of Malaysia that helps connect suburbs like Ampang Jaya to the wider Kuala Lumpur metropolitan area.
  • E. BMM
    BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.