Triple
T19772859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyrica |
E474930
|
entity |
| Predicate | requiresAdjustmentIn |
P61679
|
FINISHED |
| Object | renal impairment |
—
|
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 impairment | Statement: [Lyrica, requiresAdjustmentIn, renal impairment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresAdjustmentIn Context triple: [Lyrica, requiresAdjustmentIn, renal impairment]
-
A.
requiresApplicationOf
Indicates that performing one entity or process depends on actively applying or using another entity, method, or resource.
-
B.
requiresCorrection
Indicates that something is identified as needing modification, adjustment, or fixing to correct an error or deficiency.
-
C.
requiresJudgeToBe
Indicates that a situation, action, or process necessitates the judge to possess or be in a specific state, role, or condition.
-
D.
adjustsFor
Indicates that one entity modifies, compensates, or accounts for the effects of another entity to achieve a corrected or normalized result.
-
E.
doseAdjustmentRequiredIn
chosen
Indicates that a change in the amount or frequency of a treatment or medication is necessary within a specified context, such as a condition, setting, or patient group.
- 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_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. |
Created at: April 10, 2026, 1:48 p.m.