Triple
T33212984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021–22 NBA G League season |
E850208
|
entity |
| Predicate | hadCOVID19Impact |
P8645
|
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: [2021–22 NBA G League season, hadCOVID19Impact, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCOVID19Impact Context triple: [2021–22 NBA G League season, hadCOVID19Impact, true]
-
A.
covid19Impact
chosen
Indicates the effect, consequences, or influence that COVID-19 has on a given entity, condition, or situation.
-
B.
hadCondition
Indicates that an entity experienced or was diagnosed with a particular medical or health-related condition.
-
C.
hasUnderlyingCompanyCOVID19Involvement
Indicates that the referenced company is involved in activities, operations, or impacts specifically related to COVID-19.
-
D.
hasViralImpact
Indicates that an entity causes, contributes to, or is associated with rapid, wide-scale spread or influence, similar to how viral content propagates.
-
E.
hasCOVID19Restriction
Indicates that some form of COVID-19–related rule, limitation, or special condition applies to the referenced entity or activity.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:30 a.m.