Triple
T20125688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fentanyl |
E490748
|
entity |
| Predicate | relativePotencyToMorphine |
P138776
|
FINISHED |
| Object | about 50 to 100 times more potent than morphine |
—
|
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: about 50 to 100 times more potent than morphine | Statement: [Fentanyl, relativePotencyToMorphine, about 50 to 100 times more potent than morphine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePotencyToMorphine Context triple: [Fentanyl, relativePotencyToMorphine, about 50 to 100 times more potent than morphine]
-
A.
isNonNarcotic
Indicates that something does not possess narcotic properties or effects.
-
B.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
-
C.
hasHigherDoseStrength
Indicates that one entity has a greater dose strength than another entity in a comparative relationship.
-
D.
hasAddictionPotential
Indicates that one entity (typically a substance or activity) has the capacity to cause another entity (typically a person) to develop dependence or addictive behavior toward it.
-
E.
dosageLevel
Indicates the specific amount or intensity of a substance or treatment administered in a given dose.
- 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_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. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:31 p.m.