Triple
T19156998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Équateur Province Ebola outbreak |
E468950
|
entity |
| Predicate | firstUseOfVaccineInCountry |
P55557
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [2018 Équateur Province Ebola outbreak, firstUseOfVaccineInCountry, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUseOfVaccineInCountry Context triple: [2018 Équateur Province Ebola outbreak, firstUseOfVaccineInCountry, yes]
-
A.
vaccineUsed
Indicates that a particular vaccine has been administered or applied in a given medical or experimental context.
-
B.
developedVaccineFor
Indicates that one entity created or produced a vaccine intended to prevent or protect against a disease or condition associated with another entity.
-
C.
vaccineAvailable
Indicates that a vaccine is obtainable or in stock for use or distribution.
-
D.
firstHistoricalUse
chosen
Indicates that the subject entity represents the earliest known or recorded instance of the object entity being used or occurring in history.
-
E.
hasVaccine
Indicates that one entity possesses, provides, or is associated with a specific vaccine in relation to 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb9cf9081908b17073755e83554 |
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.