Triple
T22516346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | voriconazole |
E556657
|
entity |
| Predicate | affectsPathway |
P37860
|
FINISHED |
| Object | ergosterol biosynthesis |
—
|
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: ergosterol biosynthesis | Statement: [voriconazole, affectsPathway, ergosterol biosynthesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsPathway Context triple: [voriconazole, affectsPathway, ergosterol biosynthesis]
-
A.
affectsBiologicalProcess
chosen
Indicates a relationship where one entity produces a change or influence on a biological process of another entity or system.
-
B.
regulatoryPathway
Indicates that one entity is part of, or participates in, a biological or organizational regulatory pathway that controls the activity, expression, or behavior of another.
-
C.
affectsPhenomenon
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
D.
hasPathway
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
E.
affectsRelationshipBetween
Indicates that one entity causes a change or influence on the nature, quality, or status of the relationship between two or more other entities.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.