Triple
T28872524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FHIR Binary |
E732175
|
entity |
| Predicate | securityContextDatatype |
P176313
|
FINISHED |
| Object | Reference |
—
|
LITERAL 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: Reference | Statement: [FHIR Binary, securityContextDatatype, Reference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityContextDatatype Context triple: [FHIR Binary, securityContextDatatype, Reference]
-
A.
securityContext
Indicates the security-related settings or constraints under which an action, process, or interaction is performed.
-
B.
securityScope
Indicates the range or extent of protection, permissions, or access control that applies within a given security context.
-
C.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
-
D.
securityAccess
Indicates that one entity has permission, authorization, or the ability to access or interact with another entity in a security-controlled context.
-
E.
securityType
Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
- F. None of above. chosen
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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 28, 2026, 7:34 a.m.