Triple
T23399643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bapineuzumab |
E559467
|
entity |
| Predicate | actsOnPathway |
P9769
|
FINISHED |
| Object | amyloid cascade in Alzheimer’s disease |
—
|
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: amyloid cascade in Alzheimer’s disease | Statement: [bapineuzumab, actsOnPathway, amyloid cascade in Alzheimer’s disease]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actsOnPathway Context triple: [bapineuzumab, actsOnPathway, amyloid cascade in Alzheimer’s disease]
-
A.
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.
-
B.
hasPathway
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
-
C.
actsOn
chosen
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
D.
supportsPathway
Indicates that one entity contributes to, enables, or maintains the functioning or progression of a specified pathway.
-
E.
actsSynergisticallyWith
Indicates that two entities interact in a way that enhances or amplifies each other's effects or outcomes beyond what they would achieve independently.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.