Triple

T1870495
Position Surface form Disambiguated ID Type / Status
Subject LOINC E39023 entity
Predicate mappedTo P9923 FINISHED
Object SNOMED CT E18910 NE FINISHED

How this triple was built (3 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: SNOMED CT | Statement: [LOINC, mappedTo, SNOMED CT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNOMED CT
Context triple: [LOINC, mappedTo, SNOMED CT]
  • A. SNOMED CT chosen
    SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
  • B. SNOMED International
    SNOMED International is a global not-for-profit organization responsible for developing and promoting the SNOMED CT clinical terminology standard used in healthcare systems worldwide.
  • C. SNOMED CT Browser
    SNOMED CT Browser is an online tool that allows users to search, explore, and navigate the SNOMED CT clinical terminology system.
  • D. LOINC
    LOINC (Logical Observation Identifiers Names and Codes) is a widely used international standard for identifying laboratory tests, clinical measurements, and other health observations in electronic health records and data exchange.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: mappedTo
Context triple: [LOINC, mappedTo, SNOMED CT]
  • A. mapsTo chosen
    Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
  • B. mapped
    Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
  • C. mapsFrom
    Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
  • D. namedTo
    Indicates that one entity has been given or assigned a specific name referring to another entity.
  • E. navigatedBy
    Indicates that the movement, direction, or operation of something is controlled, guided, or steered by a specified agent.
  • F. None of above.

Provenance (4 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5163d88190a41df4c8f4e196f0 completed March 8, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69abafe2b56c81909e13d543982e6e13 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.