Triple
T18629552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q-learning |
E455376
|
entity |
| Predicate | canUseExplorationStrategy |
P55275
|
FINISHED |
| Object | epsilon-greedy policy |
—
|
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: epsilon-greedy policy | Statement: [Q-learning, canUseExplorationStrategy, epsilon-greedy policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canUseExplorationStrategy Context triple: [Q-learning, canUseExplorationStrategy, epsilon-greedy policy]
-
A.
usesExplorationMethod
chosen
Indicates that one entity employs or applies a particular exploration method as part of its process or behavior.
-
B.
hasExploration
Indicates that one entity engages in, is associated with, or possesses an activity or process of exploration in relation to another entity or context.
-
C.
hasExplorationTargetType
Indicates the type or category of exploration target associated with an entity.
-
D.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
E.
usesStrategy
Indicates that an entity intentionally applies a particular strategy or method to achieve a goal or perform an action.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f06f4a081909b64f33814577488 |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.