Triple
T31786872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Rugby Aotearoa |
E811355
|
entity |
| Predicate | COVID19Related |
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: [Super Rugby Aotearoa, COVID19Related, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COVID19Related Context triple: [Super Rugby Aotearoa, COVID19Related, true]
-
A.
associatedPandemic
Indicates a relationship where something (such as an event, condition, or entity) is linked or connected to a specific pandemic.
-
B.
associatedWithEpidemic
Indicates that something has a connection or relevance to an epidemic, such as being caused by, occurring during, or contributing to that epidemic.
-
C.
covid19Impact
chosen
Indicates the effect, consequences, or influence that COVID-19 has on a given entity, condition, or situation.
-
D.
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).
-
E.
hasUnderlyingCompanyCOVID19Involvement
Indicates that the referenced company is involved in activities, operations, or impacts specifically related to COVID-19.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:38 p.m.