Triple
T2661759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaccines for Children Program |
E54739
|
entity |
| Predicate | vaccineTypesProvided |
P35116
|
FINISHED |
| Object | ACIP-recommended vaccines for children |
—
|
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: ACIP-recommended vaccines for children | Statement: [Vaccines for Children Program, vaccineTypesProvided, ACIP-recommended vaccines for children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vaccineTypesProvided Context triple: [Vaccines for Children Program, vaccineTypesProvided, ACIP-recommended vaccines for children]
-
A.
covid19VaccineType
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
B.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
C.
hasVaccine
chosen
Indicates that one entity possesses, provides, or is associated with a specific vaccine in relation to another entity.
-
D.
hasInitialDose
Indicates that an entity has received or is assigned a first or starting dose of a treatment, medication, or substance.
-
E.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd969eff08190a206ad6424ba34d6 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.