Triple
T22516414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | posaconazole |
E556658
|
entity |
| Predicate | highlyProteinBound |
P37224
|
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: [posaconazole, highlyProteinBound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highlyProteinBound Context triple: [posaconazole, highlyProteinBound, true]
-
A.
hasProteinBinding
chosen
Indicates that one entity is capable of physically binding to or interacting specifically with a protein.
-
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.
bindsNucleotide
Indicates that one entity physically attaches to or associates with a nucleotide molecule.
-
D.
oftenBoundIn
Indicates that one entity is frequently enclosed, packaged, or contained within another entity.
-
E.
isHydrophobic
Indicates that one entity has a tendency to repel or avoid interaction with water or aqueous environments.
- 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_69f15e2df59c81909c4ae2f20f1cbb32 |
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.