Triple
T35249876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibboleth incident |
E1018066
|
entity |
| Predicate | hasConsequenceForFailure |
—
|
GENERATED |
| Object | execution |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConsequenceForFailure Context triple: [Shibboleth incident, hasConsequenceForFailure, execution]
-
A.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
B.
hasConsequenceHypothesis
Indicates that one situation, event, or statement is hypothesized to lead to or imply a particular consequence.
-
C.
hasFailureProbability
Indicates that an entity is associated with a likelihood or chance that it will fail within a given context or conditions.
-
D.
hasConsequenceAwareness
Indicates that an entity recognizes, understands, or is aware of the consequences or outcomes resulting from an action, event, or state.
-
E.
hasConsequenceForPlayer
Indicates that an event, action, or state produces a specific outcome or effect for the player.
- F. None of above. chosen
Provenance (1 batch)
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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.