Triple

T8706827
Position Surface form Disambiguated ID Type / Status
Subject RMF E206670 entity
Predicate component P35 FINISHED
Object RMF Monitor III E206670 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: RMF Monitor III | Statement: [RMF, component, RMF Monitor III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMF Monitor III
Context triple: [RMF, component, RMF Monitor III]
  • A. RMF chosen
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • B. RMF Zecilie
    RMF Zecilie is a show jumping horse ridden in international competition by American equestrian Jessica Springsteen.
  • C. Woz Monitor
    Woz Monitor is a simple machine code monitor program written by Steve Wozniak that served as the primary interface and debugging tool for the original Apple I computer.
  • D. NuMachine
    NuMachine was an early 1980s experimental workstation computer project at MIT that pioneered the NuBus expansion bus architecture.
  • E. RADOM-7 (Radiation Monitor)
    RADOM-7 is a spaceborne radiation monitoring instrument used to measure and characterize the radiation environment encountered by spacecraft such as Chandrayaan-1.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fe19ac8190936ba0faf513ed2b completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5165c7708190988eeacf4789b708 completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:35 p.m.