Triple

T4751132
Position Surface form Disambiguated ID Type / Status
Subject SNOMED International E105478 entity
Predicate abbreviation P43 FINISHED
Object IHTSDO E105478 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: IHTSDO | Statement: [SNOMED International, abbreviation, IHTSDO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IHTSDO
Context triple: [SNOMED International, abbreviation, IHTSDO]
  • A. 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.
  • B. SNOMED International chosen
    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. HL7 International
    HL7 International is a global standards organization that develops and promotes frameworks and specifications for the exchange, integration, sharing, and retrieval of electronic health information.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c97b548190815083f2f8df907c completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a561a7c8190a5ab87751ab36e0d completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.