Triple
T3205333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COVID-19 pandemic |
E67147
|
entity |
| Predicate | preventiveMeasure |
P32681
|
FINISHED |
| Object | face masks |
—
|
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: face masks | Statement: [COVID-19 pandemic, preventiveMeasure, face masks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preventiveMeasure Context triple: [COVID-19 pandemic, preventiveMeasure, face masks]
-
A.
controlMeasure
Indicates a relationship where one entity implements or applies a method, action, or mechanism to regulate, mitigate, or manage a risk, process, or condition associated with another entity.
-
B.
worksToPrevent
Indicates an entity actively takes measures or engages in actions to stop, reduce, or avoid the occurrence or impact of another entity or condition.
-
C.
prevented
Indicates that one entity stopped, hindered, or made it impossible for another entity or event to occur or proceed.
-
D.
safeguardingMeasuresInclude
chosen
Indicates that certain specific protective or security measures are contained within, or form part of, a broader set of safeguarding measures.
-
E.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa559848819082d1e61f586278dd |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.