Triple

T14254588
Position Surface form Disambiguated ID Type / Status
Subject Medical Subject Headings E353351 entity
Predicate relatedTo P37 FINISHED
Object SNOMED CT E18910 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: SNOMED CT | Statement: [Medical Subject Headings, relatedTo, SNOMED CT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNOMED CT
Context triple: [Medical Subject Headings, relatedTo, 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. Regenstrief Institute LOINC Committee
    The Regenstrief Institute LOINC Committee is the expert governing body responsible for developing, maintaining, and overseeing the Logical Observation Identifiers Names and Codes (LOINC) standard for health data interoperability.
  • 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.