Triple
T33637253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | idarucizumab |
E861730
|
entity |
| Predicate | hasUsualDose |
P130936
|
FINISHED |
| Object | 5 g total dose |
—
|
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: 5 g total dose | Statement: [idarucizumab, hasUsualDose, 5 g total dose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUsualDose Context triple: [idarucizumab, hasUsualDose, 5 g total dose]
-
A.
hasDefinedDailyDose
Indicates that an entity has an established standard amount intended to be taken or used per day.
-
B.
hasDoseUnit
Indicates the unit of measurement in which a specified dose or quantity of a substance is expressed.
-
C.
typicalDoseCount
Indicates the usual number of doses administered or taken in a standard course of use.
-
D.
dosageLevel
chosen
Indicates the specific amount or intensity of a substance or treatment administered in a given dose.
-
E.
hasCommonStartingDose_mgPerDay
Indicates that two treatments share the same typical initial dosage, measured in milligrams per day.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.