Triple
T17262134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diskhaler |
E419032
|
entity |
| Predicate | medicationForm |
P23152
|
FINISHED |
| Object | powder for inhalation |
—
|
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: powder for inhalation | Statement: [Diskhaler, medicationForm, powder for inhalation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicationForm Context triple: [Diskhaler, medicationForm, powder for inhalation]
-
A.
hasDosageForm
chosen
Indicates the specific physical form or presentation in which a drug or medicinal product is supplied or administered (e.g., tablet, injection, cream).
-
B.
approvedDrugForm
Indicates that a particular pharmaceutical form (e.g., tablet, injection) is an officially approved formulation of a given drug.
-
C.
clinicalForm
Indicates the specific clinical manifestation or presentation type associated with a medical condition or case.
-
D.
hasDrug
Indicates that an entity possesses, is treated with, or is associated with a particular drug.
-
E.
usesDrug
Indicates that an entity consumes, administers, or otherwise makes use of a specified drug.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.