Triple
T33292033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rosuvastatin |
E852341
|
entity |
| Predicate | increasesBiomarker |
P7907
|
FINISHED |
| Object | high-density lipoprotein cholesterol |
—
|
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: high-density lipoprotein cholesterol | Statement: [rosuvastatin, increasesBiomarker, high-density lipoprotein cholesterol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasesBiomarker Context triple: [rosuvastatin, increasesBiomarker, high-density lipoprotein cholesterol]
-
A.
usedAsBiomarkerFor
Indicates that one entity serves as a biomarker for another entity, typically signaling the presence, progression, or risk of a specific condition or biological state.
-
B.
diagnosticBiomarker
Indicates that one entity serves as a measurable biological indicator used to detect, confirm, or help diagnose a condition or disease in another entity.
-
C.
increases
chosen
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
D.
increasesWith
Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
-
E.
risesIn
Indicates that a river or similar watercourse originates or begins its flow in a specified location.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:32 a.m.