Triple
T8027567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020–21 NHL season |
E186892
|
entity |
| Predicate | COVID19ProtocolsImplemented |
P58395
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2020–21 NHL season, COVID19ProtocolsImplemented, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COVID19ProtocolsImplemented Context triple: [2020–21 NHL season, COVID19ProtocolsImplemented, true]
-
A.
epidemicControlActivities
chosen
Indicates actions or measures undertaken to prevent, contain, or mitigate the spread and impact of an epidemic.
-
B.
stanceOnCOVID-19Measures
Indicates a subject’s position, attitude, or level of support or opposition toward policies and actions taken in response to COVID-19 (such as restrictions, mandates, or public health measures).
-
C.
hasPublicHealthInfrastructure
Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
-
D.
covid19Impact
Indicates the effect, consequences, or influence that COVID-19 has on a given entity, condition, or situation.
-
E.
efficacyAgainstSymptomaticCOVID19
Indicates the degree to which an intervention reduces the occurrence of symptomatic COVID-19 in a population compared to a control condition.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.