Triple
T31253860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tie Luo Han |
E796903
|
entity |
| Predicate | typicalInfusionTime |
—
|
GENERATED |
| Object | short multiple infusions |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInfusionTime Context triple: [Tie Luo Han, typicalInfusionTime, short multiple infusions]
-
A.
typicalInfusionCount
Indicates the usual or standard number of infusions associated with a given treatment or protocol.
-
B.
timeToAdminister
chosen
Indicates the scheduled or required amount of time needed to administer a treatment, procedure, or action to a subject.
-
C.
typicalBoilingTime
Indicates the usual duration required for something to reach or remain at its boiling point under standard conditions.
-
D.
dosingInterval
Indicates the time period that should elapse between consecutive doses of a medication or treatment.
-
E.
brewingTime
Indicates the duration required to brew or prepare a beverage or similar concoction.
- F. None of above.
Provenance (1 batch)
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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:12 p.m.