Triple
T31818450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BNT162b2 |
E812198
|
entity |
| Predicate | hasInitialAdultDoseVolume |
P200026
|
FINISHED |
| Object | 0.3 mL |
—
|
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: 0.3 mL | Statement: [BNT162b2, hasInitialAdultDoseVolume, 0.3 mL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitialAdultDoseVolume Context triple: [BNT162b2, hasInitialAdultDoseVolume, 0.3 mL]
-
A.
hasInitialAdultDose
chosen
Indicates the standard amount of a medication that should be given to an adult patient for the first dose.
-
B.
hasInitialDose
Indicates that an entity has received or is assigned a first or starting dose of a treatment, medication, or substance.
-
C.
dosageLevel
Indicates the specific amount or intensity of a substance or treatment administered in a given dose.
-
D.
hasDoseUnit
Indicates the unit of measurement in which a specified dose or quantity of a substance is expressed.
-
E.
hasMaintenanceDose
Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: April 30, 2026, 11:45 p.m.