Triple
T17560436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Address Space Layout Randomization |
E427682
|
entity |
| Predicate | effectivenessDependsOn |
P45104
|
FINISHED |
| Object | amount of entropy in address space |
—
|
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: amount of entropy in address space | Statement: [Address Space Layout Randomization, effectivenessDependsOn, amount of entropy in address space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectivenessDependsOn Context triple: [Address Space Layout Randomization, effectivenessDependsOn, amount of entropy in address space]
-
A.
performanceDependsOn
Indicates that the quality or outcome of one entity’s performance is contingent upon or influenced by another specified factor or entity.
-
B.
qualityDependsOn
chosen
Indicates that the quality or performance of one entity is determined or influenced by the characteristics or state of another entity.
-
C.
effectiveFor
Indicates that one entity successfully produces the intended effect, benefit, or desired outcome for another entity or condition.
-
D.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
-
E.
effectiveWithin
Indicates that one entity (such as a rule, condition, or effect) is valid, applicable, or in force only during a specified time period or within a defined contextual boundary.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.