Triple
T2190762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janssen COVID-19 Vaccine |
E49854
|
entity |
| Predicate | regulatorySubmissionType |
P10169
|
FINISHED |
| Object | Emergency Use Authorization |
—
|
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: Emergency Use Authorization | Statement: [Janssen COVID-19 Vaccine, regulatorySubmissionType, Emergency Use Authorization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatorySubmissionType Context triple: [Janssen COVID-19 Vaccine, regulatorySubmissionType, Emergency Use Authorization]
-
A.
regulatoryType
Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
-
B.
FDAApprovalType
Indicates the specific regulatory pathway or category under which a product has been approved by the U.S. Food and Drug Administration.
-
C.
typeOfAdministration
Indicates the specific form or system of administration applied to or governing an entity.
-
D.
submissionTypes
Indicates the categories or formats in which something can be submitted or has been submitted within a given context.
-
E.
submissionType
chosen
Indicates the specific category or format under which something is submitted (e.g., as a document, assignment, application, or other submission class).
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.