Triple
T22518437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Radiology & Diagnostic Imaging |
E556708
|
entity |
| Predicate | typeOfTrainingSite |
P50226
|
FINISHED |
| Object | teaching hospital environment |
—
|
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: teaching hospital environment | Statement: [Department of Radiology & Diagnostic Imaging, typeOfTrainingSite, teaching hospital environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTrainingSite Context triple: [Department of Radiology & Diagnostic Imaging, typeOfTrainingSite, teaching hospital environment]
-
A.
trainingLocationType
chosen
Indicates the type or category of place where a training activity occurs.
-
B.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
C.
trainingStations
Indicates a relationship where certain locations or facilities serve as designated sites for training activities or instruction.
-
D.
typeOfSite
Indicates the specific category or kind of site that an entity is classified as.
-
E.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
- F. None of above.
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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2f5c308190a0e6755a24340917 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.