Triple

T14254449
Position Surface form Disambiguated ID Type / Status
Subject NLM bibliographic services E353349 entity
Predicate usesControlledVocabulary P14105 FINISHED
Object Medical Subject Headings E353351 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: Medical Subject Headings | Statement: [NLM bibliographic services, usesControlledVocabulary, Medical Subject Headings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medical Subject Headings
Context triple: [NLM bibliographic services, usesControlledVocabulary, Medical Subject Headings]
  • A. Medical Subject Headings chosen
    Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
  • B. MeSH
    MeSH (Medical Subject Headings) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
  • C. SNOMED CT
    SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
  • D. International Classification of Diseases
    The International Classification of Diseases is a globally used diagnostic system that standardizes codes for diseases, health conditions, and related medical problems to support clinical care, research, and health statistics.
  • E. MeSH qualifiers
    MeSH qualifiers are standardized subheadings used in conjunction with Medical Subject Headings to refine and specify the aspects of biomedical topics in MEDLINE indexing and retrieval.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325c98288190ba035fb5cc5bcf6b completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.