Triple
T22717784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegra |
E561779
|
entity |
| Predicate | crossesBloodBrainBarrierPoorly |
P94938
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Allegra, crossesBloodBrainBarrierPoorly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossesBloodBrainBarrierPoorly Context triple: [Allegra, crossesBloodBrainBarrierPoorly, true]
-
A.
crossesBloodBrainBarrier
chosen
Indicates that a substance is able to pass from the bloodstream into the brain by traversing the blood-brain barrier.
-
B.
hasBioavailability
Indicates that a substance has a specified degree or measure of bioavailability, i.e., the proportion that enters circulation and can have an active effect.
-
C.
isBarrierTo
Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
-
D.
isMetabolizedPrimarilyIn
Indicates that the substance undergoes its main metabolic processing within the specified biological system or organ.
-
E.
isNeuroprotective
Indicates that one entity confers protection to another entity’s nervous system or neural structures, helping to prevent or reduce neural damage or degeneration.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ecbc48190926d16b20b674dbd |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:19 p.m.