Triple
T16309298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara Stadium Authority |
E396005
|
entity |
| Predicate | managesRiskFor |
P19221
|
FINISHED |
| Object | Levi’s Stadium operations |
—
|
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: Levi’s Stadium operations | Statement: [Santa Clara Stadium Authority, managesRiskFor, Levi’s Stadium operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesRiskFor Context triple: [Santa Clara Stadium Authority, managesRiskFor, Levi’s Stadium operations]
-
A.
riskManagement
Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
-
B.
riskManagedBy
chosen
Indicates that the potential or identified risk is controlled, mitigated, or overseen through the actions, policies, or responsibilities of a specified managing entity.
-
C.
riskTypesManaged
Indicates that one entity is responsible for handling, controlling, or overseeing specific categories of risk associated with another entity or context.
-
D.
focusesOnRisk
Indicates that the subject directs attention, resources, or analysis primarily toward identifying, assessing, or managing risk.
-
E.
riskManagementMechanism
Indicates a mechanism, process, or control used to identify, assess, mitigate, or monitor risks associated with an 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d9557c81909203cd47aebf0f44 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.