Triple
T32195985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | phenytoin |
E822404
|
entity |
| Predicate | isPoorlyWaterSoluble |
P52266
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [phenytoin, isPoorlyWaterSoluble, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPoorlyWaterSoluble Context triple: [phenytoin, isPoorlyWaterSoluble, yes]
-
A.
isInsolubleIn
Indicates that one substance does not dissolve in another under specified conditions.
-
B.
solubilityInWater
chosen
Indicates how readily a substance dissolves in water under specified conditions.
-
C.
isMoreSolubleIn
Indicates that one substance has a greater tendency to dissolve in a specified solvent than another substance does.
-
D.
isProdrug
Indicates that one substance is a prodrug of another, meaning it is administered in an inactive or less active form and is metabolically converted into the active drug in the body.
-
E.
isProdrugOf
Indicates that one substance is a precursor form that is metabolized in the body to produce the active form of another substance.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb3795fc8190bfcb00d45aa887a1 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.