Triple
T33292125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko143 |
E852343
|
entity |
| Predicate | selectivityProfile |
P150059
|
FINISHED |
| Object | more selective for BCRP than for P-glycoprotein |
—
|
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: more selective for BCRP than for P-glycoprotein | Statement: [Ko143, selectivityProfile, more selective for BCRP than for P-glycoprotein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectivityProfile Context triple: [Ko143, selectivityProfile, more selective for BCRP than for P-glycoprotein]
-
A.
ligandFamily
Indicates that one entity is a ligand belonging to the same functional or structural family as another entity.
-
B.
substrateAffinity
Indicates the degree to which one entity tends to bind to, interact with, or preferentially act upon a particular substrate.
-
C.
hasDrugBankID
Indicates that an entity is associated with a specific identifier from the DrugBank database.
-
D.
substrateSpecificity
chosen
Indicates that an enzyme or catalyst selectively acts on, binds to, or transforms particular substrate molecules over others.
-
E.
receptorTypeInteractedWith
Indicates that one entity has interacted with, bound to, or otherwise engaged a specific type of receptor.
- 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.