Triple
T19772853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyrica |
E474930
|
entity |
| Predicate | primaryRouteOfElimination |
P137275
|
FINISHED |
| Object | renal |
—
|
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: renal | Statement: [Lyrica, primaryRouteOfElimination, renal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRouteOfElimination Context triple: [Lyrica, primaryRouteOfElimination, renal]
-
A.
isMetabolizedPrimarilyIn
Indicates that the substance undergoes its main metabolic processing within the specified biological system or organ.
-
B.
mainDrugRoute
Indicates the primary method or pathway by which a drug is administered or delivered to its target.
-
C.
primaryDrug
Indicates that one drug is identified as the main or most important medication in a given treatment, context, or combination relative to other associated drugs.
-
D.
primaryRoute
Indicates that one route is designated as the main or preferred path among possible alternatives between locations.
-
E.
isMetabolizedBy
Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535e450c8190a2628245ae0d0bd3 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.