Triple
T4470184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dueling DQN |
E98474
|
entity |
| Predicate | actionSpaceType |
P56712
|
FINISHED |
| Object | discrete |
—
|
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: discrete | Statement: [Dueling DQN, actionSpaceType, discrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actionSpaceType Context triple: [Dueling DQN, actionSpaceType, discrete]
-
A.
actionSpace
Indicates the set of all possible actions an agent can take in a given environment or decision-making context.
-
B.
supportsActionSpace
Indicates that one entity is capable of enabling, handling, or being compatible with a specified action space for operations or behaviors.
-
C.
typicalStateSpace
Indicates the usual or standard set of states in which an entity, system, or process is considered to operate.
-
D.
observationSpace
Indicates the defined set of possible observations or sensory inputs that an agent can receive from its environment.
-
E.
performanceSpaceType
Indicates the specific kind or category of space in which a performance or event takes place.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.