Triple
T33292556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bortecad |
E852352
|
entity |
| Predicate | mayBeUsedInCombinationWith |
P4791
|
FINISHED |
| Object | dexamethasone |
—
|
NE NERFINISHED |
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: dexamethasone | Statement: [Bortecad, mayBeUsedInCombinationWith, dexamethasone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeUsedInCombinationWith Context triple: [Bortecad, mayBeUsedInCombinationWith, dexamethasone]
-
A.
usedInCollaborationWith
Indicates that an entity is employed, applied, or utilized together with another entity as part of a joint or cooperative activity.
-
B.
usedToOperateInConjunctionWith
Indicates that one entity was formerly operated together with another entity as part of a combined or coordinated functioning.
-
C.
usedWith
chosen
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
D.
notablyUsedWith
Indicates that one entity is commonly or prominently used together with another entity, in a way that is especially characteristic or noteworthy.
-
E.
isConsideredCombinationOf
Indicates that something is regarded as being formed by or equivalent to a specific combination of other things or components.
- 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_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 1, 2026, 1:33 a.m.