Triple

T8706789
Position Surface form Disambiguated ID Type / Status
Subject SMF E206669 entity
Predicate relatedTo P37 FINISHED
Object RMF 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 | Statement: [SMF, relatedTo, RMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMF
Context triple: [SMF, relatedTo, RMF]
  • 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. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • C. RM
    RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
  • D. RMN
    RMN is the three-letter IATA airport code assigned to Stafford Regional Airport in Stafford, Virginia, United States.
  • E. RMN
    RMN is the acronym for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
  • 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.