Triple
T7277845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWL 2 EL |
E163073
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | SNOMED CT ontology |
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 ontology | Statement: [OWL 2 EL, usedIn, SNOMED CT ontology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNOMED CT ontology Context triple: [OWL 2 EL, usedIn, SNOMED CT ontology]
-
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.
MeSH
MeSH (Medical Subject Headings) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb309a648190a2a2f2cca9ce2f56 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3110688190bf52180ea159c91c |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.