Triple
T19157267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardasil |
E468956
|
entity |
| Predicate | Gardasil9Targets |
P125874
|
FINISHED |
| Object | nine HPV types including 6, 11, 16, 18 |
—
|
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: nine HPV types including 6, 11, 16, 18 | Statement: [Gardasil, Gardasil9Targets, nine HPV types including 6, 11, 16, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Gardasil9Targets Context triple: [Gardasil, Gardasil9Targets, nine HPV types including 6, 11, 16, 18]
-
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.
developedVaccineFor
Indicates that one entity created or produced a vaccine intended to prevent or protect against a disease or condition associated with another entity.
-
D.
targetsVirus
chosen
Indicates that one entity is directed against, acts upon, or is specifically intended to affect a virus.
-
E.
vaccineTypeDerived
Indicates that one vaccine type is derived or developed from another vaccine type.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.