Triple
T27663959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DICOMweb STOW-RS |
E697185
|
entity |
| Predicate | supportsResourceLevel |
P200591
|
FINISHED |
| Object | study |
—
|
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: study | Statement: [DICOMweb STOW-RS, supportsResourceLevel, study]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsResourceLevel Context triple: [DICOMweb STOW-RS, supportsResourceLevel, study]
-
A.
supportsTeamLevel
Indicates that one entity provides assistance, resources, or endorsement to a team as a whole rather than to individual members.
-
B.
supportsRole
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
-
C.
supportsPrivilegeLevels
Indicates that an entity is capable of handling or enforcing multiple distinct privilege or access levels within its operations or permissions system.
-
D.
supportsLevelOfGovernment
Indicates that one entity provides assistance, endorsement, or resources to a particular level or tier of government (such as local, regional, or national).
-
E.
supportedRight
Indicates that one entity endorsed, upheld, or actively backed the right or entitlement held by another entity.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
| PDg | Predicate description generation | batch_69ff9a24996c8190ba2c5345d317cbdb |
completed | May 9, 2026, 8:33 p.m. |
Created at: April 27, 2026, 2:37 p.m.