Triple
T8706825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMF |
E206670
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | RMF Monitor I |
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 I | Statement: [RMF, component, RMF Monitor I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMF Monitor I Context triple: [RMF, component, RMF Monitor I]
-
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.
RMM1
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.
-
D.
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.
-
E.
RF-100A
The RF-100A was a specialized photo-reconnaissance version of the North American F-100 Super Sabre, adapted for high-speed, high-altitude intelligence-gathering missions.
- 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_69cf28aac77c8190b4f5968643715765 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:35 p.m.