Triple
T32271710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | diphtheria |
E824428
|
entity |
| Predicate | vaccineSchedule |
P134644
|
FINISHED |
| Object | childhood primary series with periodic boosters |
—
|
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: childhood primary series with periodic boosters | Statement: [diphtheria, vaccineSchedule, childhood primary series with periodic boosters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vaccineSchedule Context triple: [diphtheria, vaccineSchedule, childhood primary series with periodic boosters]
-
A.
vaccinationStrategy
chosen
Indicates the planned or implemented approach for administering vaccines, including target groups, timing, and methods of delivery.
-
B.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
C.
vaccineAvailable
Indicates that a vaccine is obtainable or in stock for use or distribution.
-
D.
covid19VaccineType
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
E.
vaccineTypeUsed
Indicates that a specific type or category of vaccine was administered or employed in a vaccination event or context.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc89010c8190982399d265f171ac |
completed | May 3, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.