Triple

T11574049
Position Surface form Disambiguated ID Type / Status
Subject Healthcare Common Procedure Coding System E274458 entity
Predicate administeredBy P86 FINISHED
Object CMS E116580 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: CMS | Statement: [Healthcare Common Procedure Coding System, administeredBy, CMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMS
Context triple: [Healthcare Common Procedure Coding System, administeredBy, CMS]
  • A. CMS chosen
    CMS is the U.S. federal agency within the Department of Health and Human Services that administers major national healthcare programs including Medicare, Medicaid, and the Children’s Health Insurance Program.
  • B. CMS
    CMS is the standard abbreviation for the Chicago Manual of Style, a widely used guide for writing, editing, and citation in publishing and academia.
  • C. CMS
    The Canadian Mathematical Society is a professional organization that promotes the advancement, discovery, learning, and application of mathematics in Canada.
  • D. CMS
    CMS is an international environmental treaty under the United Nations that aims to conserve migratory species of wild animals and their habitats across their entire range.
  • E. CMS
    CMS is a highly competitive examination in India conducted by the Union Public Service Commission to recruit medical officers for various government organizations and services.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.