Triple

T5324674
Position Surface form Disambiguated ID Type / Status
Subject Risk Management Agency E121757 entity
Predicate abbreviation P43 FINISHED
Object RMA E121757 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: RMA | Statement: [Risk Management Agency, abbreviation, RMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RMA
Context triple: [Risk Management Agency, abbreviation, RMA]
  • A. RMA chosen
    RMA is a U.S. Department of Agriculture agency responsible for overseeing federal crop insurance and risk management programs for farmers and ranchers.
  • B. RMA
    RMA is New Zealand’s principal environmental and resource management law that governs how natural and physical resources are used, developed, and protected.
  • C. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • D. 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.
  • E. RAS
    RAS is the commonly used abbreviation for the Royal Astronomical Society, a leading learned society dedicated to the advancement of astronomy and geophysics.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd857b41e0819091a51286d0de214c completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18abdcc48190bca5c7fc354c2471 completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 1:59 p.m.