Triple
T38560447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrazinamide |
E928064
|
entity |
| Predicate | hasTypicalDoseRange |
P14599
|
FINISHED |
| Object | 20–30 mg/kg/day |
—
|
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: 20–30 mg/kg/day | Statement: [Pyrazinamide, hasTypicalDoseRange, 20–30 mg/kg/day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalDoseRange Context triple: [Pyrazinamide, hasTypicalDoseRange, 20–30 mg/kg/day]
-
A.
typicalDoseCount
Indicates the usual number of doses administered or taken in a standard course of use.
-
B.
hasCommonStartingDose_mgPerDay
Indicates that two treatments share the same typical initial dosage, measured in milligrams per day.
-
C.
hasInitialAdultDose
Indicates the standard amount of a medication that should be given to an adult patient for the first dose.
-
D.
typicalDosageCategories
chosen
Indicates the standard dosage ranges or categories typically associated with a given treatment, substance, or medication.
-
E.
hasDosingRegimen
Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0017dd31d08190aa5e9f72df83733a |
completed | May 10, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_6a0015a1deb88190b9cdaa60455b0a33 |
completed | May 10, 2026, 5:20 a.m. |
Created at: May 3, 2026, 4:32 p.m.