Triple
T8482988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow DQN |
E200562
|
entity |
| Predicate | usesPrioritization |
P68004
|
FINISHED |
| Object | proportional prioritized replay |
—
|
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 prioritized replay | Statement: [Rainbow DQN, usesPrioritization, proportional prioritized replay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPrioritization Context triple: [Rainbow DQN, usesPrioritization, proportional prioritized replay]
-
A.
prioritises
chosen
Indicates that one entity gives greater importance, preference, or precedence to another entity or task over alternatives.
-
B.
supportsPriority
Indicates that one entity provides functionality or capability for handling or honoring priority levels associated with another entity or operation.
-
C.
planningPriority
Indicates the relative importance or urgency assigned to an item, task, or objective when organizing or scheduling plans.
-
D.
managementPriority
Indicates the relative level of importance or urgency assigned to managing or addressing a particular entity, issue, or task.
-
E.
limitsPriorityOf
Indicates that one entity imposes a maximum allowable priority level on another entity’s priority.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:12 p.m.