Triple
T20125724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fentanyl |
E490748
|
entity |
| Predicate | overdoseSymptom |
P2896
|
FINISHED |
| Object | severe respiratory depression |
—
|
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: severe respiratory depression | Statement: [Fentanyl, overdoseSymptom, severe respiratory depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overdoseSymptom Context triple: [Fentanyl, overdoseSymptom, severe respiratory depression]
-
A.
hasOverdose
Indicates that an entity has experienced or been involved in an overdose event, typically involving excessive consumption of a substance.
-
B.
riskOfOverdose
Indicates a likelihood or potential that the subject will experience a drug or substance overdose, given certain conditions or factors.
-
C.
deathOvers
Indicates the number of overs bowled in the final phase of a limited-overs cricket innings, typically focused on the closing overs where scoring and wicket-taking intensify.
-
D.
associatedWithSubstance
Indicates that one entity has a relevant connection or involvement with a particular substance, such as use, presence, exposure, or composition.
-
E.
symptom
chosen
Indicates that a particular condition, disease, or problem manifests through a specific observable sign or complaint.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674223008190827c454fe7ac86f4 |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.