Triple
T32195983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | phenytoin |
E822404
|
entity |
| Predicate | hasSaltForm |
P181359
|
FINISHED |
| Object | phenytoin sodium |
—
|
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: phenytoin sodium | Statement: [phenytoin, hasSaltForm, phenytoin sodium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSaltForm Context triple: [phenytoin, hasSaltForm, phenytoin sodium]
-
A.
saltingMethod
Indicates the technique or process used to apply salt to something, such as food or materials.
-
B.
typicalSaltContent
Indicates the usual or characteristic amount of salt associated with an entity, such as a food or substance.
-
C.
containsSaltDeposit
Indicates that one entity has or includes a salt deposit within its area, volume, or structure.
-
D.
hasSaltPans
Indicates that one entity possesses, contains, or is characterized by salt pans (areas where salt is naturally deposited or harvested).
-
E.
saltTolerance
Indicates the degree to which an entity can withstand or function under saline (high-salt) conditions.
- F. None of above. chosen
Provenance (4 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_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: May 1, 2026, 12:35 a.m.