Triple

T8706828
Position Surface form Disambiguated ID Type / Status
Subject RMF E206670 entity
Predicate component P35 FINISHED
Object RMF Postprocessor 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 Postprocessor | Statement: [RMF, component, RMF Postprocessor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMF Postprocessor
Context triple: [RMF, component, RMF Postprocessor]
  • 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. RMI
    RMI is the commonly used abbreviation for the Republic of the Marshall Islands, a Pacific island nation composed of atolls and islands.
  • C. RMI
    RMI is an institute at the University of California, Davis dedicated to research, education, and outreach in wine, food science, and related disciplines.
  • D. RPF
    RPF is a French political party founded by Charles de Gaulle in 1947 that played a major role in post-World War II French politics.
  • E. RMA
    RMA is New Zealand’s principal environmental and resource management law that governs how natural and physical resources are used, developed, and protected.
  • 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.