Triple
T4470217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prioritized Experience Replay DQN |
E98475
|
entity |
| Predicate | samplingStrategy |
P13064
|
FINISHED |
| Object | proportional prioritization |
—
|
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: proportional prioritization | Statement: [Prioritized Experience Replay DQN, samplingStrategy, proportional prioritization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplingStrategy Context triple: [Prioritized Experience Replay DQN, samplingStrategy, proportional prioritization]
-
A.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
-
B.
usesSamplingOf
Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
-
C.
strategyType
Indicates the specific kind or category of strategy associated with an entity or action.
-
D.
usesStrategy
chosen
Indicates that an entity intentionally applies a particular strategy or method to achieve a goal or perform an action.
-
E.
completionStrategyAdoptedBy
Indicates that a particular completion strategy has been chosen and implemented by a specific entity.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.