Triple
T5481697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COVID-19 vaccines |
E123479
|
entity |
| Predicate | firstWidespreadUse |
P18228
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [COVID-19 vaccines, firstWidespreadUse, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWidespreadUse Context triple: [COVID-19 vaccines, firstWidespreadUse, 2020]
-
A.
firstWidelyUsedFor
chosen
Indicates that something was the earliest instance to be broadly adopted or commonly used for a particular purpose or application.
-
B.
firstHistoricalUse
Indicates that the subject entity represents the earliest known or recorded instance of the object entity being used or occurring in history.
-
C.
historicalPeriodOfFirstUse
Indicates the historical time period during which something was first used or came into use.
-
D.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
-
E.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.