Triple
T2062880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIV/AIDS |
E45830
|
entity |
| Predicate | hasVaccine |
P35116
|
FINISHED |
| Object | no licensed HIV vaccine as of 2024 |
—
|
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: no licensed HIV vaccine as of 2024 | Statement: [HIV/AIDS, hasVaccine, no licensed HIV vaccine as of 2024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVaccine Context triple: [HIV/AIDS, hasVaccine, no licensed HIV vaccine as of 2024]
-
A.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
B.
hasInitialDose
Indicates that an entity has received or is assigned a first or starting dose of a treatment, medication, or substance.
-
C.
covid19VaccineType
Indicates the specific type or category of COVID-19 vaccine associated with an entity.
-
D.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
E.
hasAdmission
Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
- F. None of above. chosen
Provenance (4 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d239b48190a9f303446cbe3aa6 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:40 p.m.